AnswersPublic URLApr 25, 202647 sources

How Kimi K2.6 compare to US top AI models?

Kimi K2.6 looks competitive with top U.S. models, but not clearly dominant overall. The strongest case for it is cost efficient coding and agent style workflows; the strongest case for the U.S. leaders is broader multimodality, larger context in some cases, and more mature product ecosystems.[1][2][3][4] Where Kimi K2.

Key takeaways

Kimi K2.6 looks competitive with top U.S. models, but not clearly dominant overall. The strongest case for it is cost-efficient coding and agent-style workflows; the strongest case for the U.S. leaders is broader multimodality, larger context in some cases, and more mature produc
**Where Kimi K2.6 looks strong**

Research answer

Kimi K2.6 looks competitive with top U.S. models, but not clearly dominant overall. The strongest case for it is cost-efficient coding and agent-style workflows; the strongest case for the U.S. leaders is broader multimodality, larger context in some cases, and more mature product ecosystems.^[1]^[2]^[3]^[4]

Where Kimi K2.6 looks strong
- Kimi K2.6 is positioned as an open, multimodal, agent-oriented model with a 262,144-token context window and API pricing around $0.75 per 1M input tokens and $3.50 per 1M output tokens on OpenRouter.^[1]
- Third-party coverage describes it as especially strong for long-horizon coding, UI/code generation, and multi-agent orchestration, rather than just normal chatbot use.^[1]^[5]
- On price, it appears cheaper than premium U.S. frontier models and even cheaper than Gemini 2.5 Pro’s official API price of $1.25 per 1M input and $10.00 per 1M output tokens.^[1]^[2]
Where U.S. top models still appear ahead
- Gemini 2.5 Pro has a much larger official context window of 1M tokens, which matters for very large documents, repositories, and long-running sessions.^[2]
- Third-party comparisons say Gemini 2.5 Pro supports voice processing, while Kimi K2.6 does not in those comparisons.^[6]
- U.S. models also generally have stronger ecosystem advantages: tighter integrations, more mature enterprise support, and better-known safety/governance tooling. I don’t have enough primary-source benchmark evidence here to rank GPT-5 or Claude definitively against Kimi K2.6 on pure intelligence.^[2]^[3]
How I’d compare them in practice
1. For coding agents and cost-sensitive API use: Kimi K2.6 is a serious contender.^[1]^[5]
2. For largest-context work: Gemini 2.5 Pro has the edge.^[2]
3. For safest “default enterprise bet”: U.S. leaders still look stronger because of ecosystem maturity and deployment confidence, though that is partly qualitative rather than benchmark-only.^[2]^[3]
Important caveat
- The available evidence in these search results is mixed: pricing/context data are reasonably supported, including official Google pricing, but many direct “Kimi vs GPT/Claude” performance claims come from aggregators and blog-style sources rather than clear primary benchmark pages.^[1]^[2]^[5] So the fair summary is: Kimi K2.6 is competitive and probably underpriced for its capability, but there is insufficient evidence here to say it broadly beats the top U.S. models overall.^[1]^[5]

If you want, I can turn this into a tighter head-to-head table against GPT-5, Claude, and Gemini by coding, reasoning, context, multimodality, and price.

Supporting visuals

Benchmark comparison showing Moonshot AI’s Kimi K2 Thinking outperforming GPT-5 and Claude Sonnet 4.5 across reasoning, agentic coding, andBenchmark comparison showing Moonshot AI’s Kimi K2 Thinking outperforming GPT-5 and Claude Sonnet 4.5 across reasoning, agentic coding, and real-world information tasks.”

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Diagram of Moonshot AI Kimi K2.6 coordinating 300 sub-agents for complex coding tasksDiagram of Moonshot AI Kimi K2.6 coordinating 300 sub-agents for complex coding tasks.

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Gemini API vs OpenAI vs Claude: The Developer's Decision GuideA detailed table displays the API pricing for different AI models per 1 million tokens as of February 2026, comparing input and output costs, with tiers like flagship, mid-tier, and budget models, highlighting cost differences and performance benchmarks.

Research conversation

YouApr 25, 2026

Research question

How Kimi K2.6 compare to US top AI models?

Studio Global AIApr 25, 202640 sources

Cited answer

Where Kimi K2.6 looks strong
- Kimi K2.6 is positioned as an open, multimodal, agent-oriented model with a 262,144-token context window and API pricing around $0.75 per 1M input tokens and $3.50 per 1M output tokens on OpenRouter.^[1]
- Third-party coverage describes it as especially strong for long-horizon coding, UI/code generation, and multi-agent orchestration, rather than just normal chatbot use.^[1]^[5]
- On price, it appears cheaper than premium U.S. frontier models and even cheaper than Gemini 2.5 Pro’s official API price of $1.25 per 1M input and $10.00 per 1M output tokens.^[1]^[2]
Where U.S. top models still appear ahead
- Gemini 2.5 Pro has a much larger official context window of 1M tokens, which matters for very large documents, repositories, and long-running sessions.^[2]
- Third-party comparisons say Gemini 2.5 Pro supports voice processing, while Kimi K2.6 does not in those comparisons.^[6]
- U.S. models also generally have stronger ecosystem advantages: tighter integrations, more mature enterprise support, and better-known safety/governance tooling. I don’t have enough primary-source benchmark evidence here to rank GPT-5 or Claude definitively against Kimi K2.6 on pure intelligence.^[2]^[3]
How I’d compare them in practice
1. For coding agents and cost-sensitive API use: Kimi K2.6 is a serious contender.^[1]^[5]
2. For largest-context work: Gemini 2.5 Pro has the edge.^[2]
3. For safest “default enterprise bet”: U.S. leaders still look stronger because of ecosystem maturity and deployment confidence, though that is partly qualitative rather than benchmark-only.^[2]^[3]
Important caveat
- The available evidence in these search results is mixed: pricing/context data are reasonably supported, including official Google pricing, but many direct “Kimi vs GPT/Claude” performance claims come from aggregators and blog-style sources rather than clear primary benchmark pages.^[1]^[2]^[5] So the fair summary is: Kimi K2.6 is competitive and probably underpriced for its capability, but there is insufficient evidence here to say it broadly beats the top U.S. models overall.^[1]^[5]

If you want, I can turn this into a tighter head-to-head table against GPT-5, Claude, and Gemini by coding, reasoning, context, multimodality, and price.

Continue your research

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Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index/introducing-gpt-5-5 Se

Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index...

How good Kimi K2.6 is?

Sources

[1] [AINews] Moonshot Kimi K2.6: the world's leading Open Model ...latent.space
DeepSeek V4 rumors are back, and we learned our lesson not to get too excited, but in their deafening silence since v3.2, Moonshot has owned the crown of leading Chinese open model lab for all of 2026 to date, and K2.6 refreshes the lead that K2.5 established in January, with (presumably) more continued pre/posttraining (this time, details of how much more training were not disclosed). Comparing the numbers from the two launches 3 months apart demonstrates the staggering amount of progress: Image 4 [...] Moonshot’s Kimi K2.6 was the clear release of the day: an open-weight 1T-parameter MoE wi…
[2] Claude vs Gemini: Complete Comparison 2026 - GuruSupgurusup.com
Claude Pro: $20/month — access to Opus 4.6 and Sonnet 4.6, extended context, priority access Gemini Advanced: $20/month (bundled with Google One AI Premium) — access to Pro 2.5, 1M context, integration with Google Workspace API pricing is where they diverge: Model | Input (per 1M tokens) | Output (per 1M tokens) Claude Opus 4.6 | $15 | $75 Claude Sonnet 4.6 | $3 | $15 Gemini 3.1 Pro | $7 | $21 Gemini 3.1 Flash | $0.15 | $0.60 Gemini Flash 2.5 is the cheapest high-quality model available — ideal for high-volume tasks. Claude Sonnet offers a strong mid-range option for teams that need better re…
[3] GPT-5 vs Kimi K2.5 — Pricing, Benchmarks & Performance Comparedanotherwrapper.com
AnotherWrapper.com logo AnotherWrapper.com logo Model Comparison # GPT-5vsKimi K2.5 API pricing, context window, throughput, and benchmark performance compared side by side. Kimi K2.5 costs 72% less per million tokens. OpenAI GPT-5 OpenAI Input $1.25 Output $10.00 Moonshot AI Kimi K2.5 Moonshot AI Input $0.60 Output $2.50 Save $8.15 per million tokens by choosing Kimi K2.5 over GPT-5 Based on blended rate (1M input + 1M output) ## Full Comparison Pricing, specs, and benchmarks side by side Verdict ## GPT-5 vs Kimi K2.5: The Bottom Line Kimi K2.5 offers both lower pricing and stronger benchmar…
[4] GPT-5 vs Kimi K2.6 (Comparative Analysis) | Galaxy.aiblog.galaxy.ai
Galaxy Logo # GPT-5 vs Kimi K2.6 (Comparative Analysis) OpenAI logo MoonshotAI logo ## Overview | | GPT-5GPT-5 | Kimi K2.6Kimi K2.6 | --- | Model Provider The organization behind this AI's development | OpenAI logoOpenAI | MoonshotAI logoMoonshotAI | | Input Context Window Maximum input tokens this model can process at once | 400K tokens | 256K tokens | | Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 65.5K tokens | | Release Date When this model first became publicly available | August 7, 2025 8 months ago August 7th, 2025 | April 20, 2026 6 days ago…
[5] Kimi AI: Complete Guide to Features, Pricing & How It ...nxcode.io
Key Takeaways Kimi AI is Moonshot AI's flagship assistant, powered by the K2.5 model -- a 1 trillion parameter Mixture-of-Experts architecture that activates only 32 billion parameters per request, balancing frontier performance with cost efficiency. 256K context window exceeds GPT-4o (128K) and Claude 3.5 (200K), making Kimi particularly strong for long-document analysis and research tasks. API pricing at $0.60/$2.50 per million tokens (input/output) undercuts GPT-5.4 by 4-17x and Claude Sonnet 4.6 by 5-6x. Kimi Code CLI is an open-source coding agent for your terminal, competing directly…
[6] Kimi K2.6 vs Gemini 2.5 Pro - Detailed Performance & Feature Comparisondocsbot.ai
Gemini 2.5 Pro is 13 months older than Kimi K2.6. Gemini 2.5 Pro has a larger context window (1M vs 262K tokens). Unlike Kimi K2.6, Gemini 2.5 Pro supports voice processing. ## Pricing Comparison Compare costs for input and output tokens between Kimi K2.6 and Gemini 2.5 Pro. | Price Type | MoonshotAIKimi K2.6 | Gemini 2.5 Pro | --- | Input Cost for processing tokens in your prompts | $0.95 per million tokens | $1.25 per million tokens | | Output Cost for tokens generated by the model | $4.00 per million tokens | $10.00 per million tokens | Gemini 2.5 Pro is roughly 2.3x more expensive compare…
[7] Kimi K2.6 vs GPT-5.3 Chat - AI Model Comparison | OpenRouteropenrouter.ai
moonshotai Context Length 262K Reasoning Providers 5 Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight. ### Activity Prompt 104B Reasoning 856M Com…
[8] Kimi K2.6: Pricing, Benchmarks & Performance - LLM Statsllm-stats.com
Kimi K2.6: Pricing, Benchmarks & Performance Image 1: LLM Stats LogoLLM Stats Leaderboards Benchmarks Compare Playground Arenas Gateway Services Search⌘K Sign in Toggle theme NEW•NEW•NEW•NEW• What if your agent could call anyone? CallingBox Start for free 1. Organizations 2. Moonshot AI 3. Kimi K2.6 Compare Chat Image 2: Moonshot AI logo # Kimi K2.6 Moonshot AI·Apr 2026·Modified MIT License Kimi K2.6 is Moonshot AI's open-source, native multimodal agentic model focused on state-of-the-art coding, long-horizon execution, and agent swarm capabilities. It scales horizontally to 300 sub-agents…
[9] Claude vs Gemini 2026: 82.1% vs 63.8% SWE-bench [Tested]tech-insider.org
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context Window | --- --- | | Claude Haiku 4.5 | $1.00 | $5.00 | 200K | | Claude Sonnet 4.6 | $3.00 | $15.00 | 200K | | Claude Opus 4.6 | $15.00 | $75.00 | 200K (1M beta) | | Gemini 2.5 Flash | $0.15 | $0.60 | 1M | | Gemini 2.5 Pro | $1.25 | $10.00 | 1M | | Gemini 3.1 Pro | $2.00 | $12.00 | 2M | The pricing gap is most dramatic at the lightweight tier. Gemini 2.5 Flash costs $0.15 per million input tokens, making it roughly 6.7 times cheaper than Claude Haiku 4.5 at $1.00. For high-volume applications like chatbots, document processing…
[10] Kimi K2.6 vs GPT-5.4: Moonshot AI's Open-Source Coding ...geeky-gadgets.com
A defining feature of Kimi K2.6 is its Agent Swarm technology, which coordinates up to 300 sub-agents across 4,000 steps. This marks a significant improvement over its predecessor, K2.5, allowing more efficient and scalable task execution. As an open source model, Kimi K2.6 enables developers with the freedom to test, modify and deploy it independently. This openness fosters innovation, transparency and collaboration within the AI development community, making it a valuable resource for developers seeking innovative tools without the constraints of proprietary systems. Kimi K2.6 Benchmarks Ki…
[11] Claude vs Gemini 2026: Ultimate AI Model Comparison & Picks - aicomparison.aiaicomparison.ai
Claude vs Gemini # Claude vs Gemini 2026: Ultimate AI Model Comparison & Picks This guide compares Claude vs Gemini for 2026 so you can pick the right model for your project. I focus on practical differences for developers, product teams, and enterprise buyers. Expect clear verdicts on coding accuracy, multimodal handling, context windows, pricing, and integration. Read this if you need to know whether Claude 3.7 or Claude Opus 4 gives safer, higher quality outputs for mission critical tasks, or whether Gemini 2.5 Pro or Gemini Flash delivers the throughput and multimodal power your pipeline…
[12] Moonshot AI vs ChatGPT-5: The Shock That Rewrites AI Powermedium.com
Moonshot AI vs GPT-5: The Power Shift SaaS Teams Can’t Ignore | Medium Sitemap Open in app Sign up Sign in , the frontier lab was always in the U.S. Think OpenAI, Anthropic, and others. That assumption just got shattered. Meet China’s Moonshot AI. Its latest model, Kimi K2 Thinking, beat both GPT-5 and Claude Sonnet 4.5 in multiple benchmark tests, and at a cost reportedly six to ten times lower. (AI News) [...] In practical SaaS terms: A model now exists that offers frontier-level reasoning and major cost savings. Accessibility to high-capability AI is widening. The competitive edge is shi…
[13] Gemini Developer API pricingai.google.dev
Image input is set at 560 tokens or $0.0011 per image. Image output is priced at $120 per 1,000,000 tokens. Output images from 1024x1024px (1K) and up to 2048x2048px (2K) consume 1120 tokens and are equivalent to $0.134 per image. Output images up to 4096x4096px (4K) consume 2000 tokens and are equivalent to $0.24 per image. A customer-submitted request to Gemini may result in one or more queries to Google Search. You will be charged for each individual search query performed. ## Gemini 2.5 Pro gemini-2.5-pro Try it in Google AI Studio Our state-of-the-art multipurpose model, which excels…
[14] Anthropic Claude API Pricing 2026 - Silicon Datasilicondata.com
| Provider | Model | Status | Input ($/1M) | Output ($/1M) | 10M in + 2M out | Note | --- --- --- | Anthropic | Claude Haiku 4.5 | Active | $1.00 | $5.00 | $20.00 | Low-cost Anthropic tier | | Anthropic | Claude Sonnet 4.6 | Active | $3.00 | $15.00 | $60.00 | Middle tier; 1M context available | | Anthropic | Claude Opus 4.6 | Active | $5.00 | $25.00 | $100.00 | Premium Anthropic tier | | OpenAI | GPT-5 mini | Active | $0.25 | $2.00 | $6.50 | Standard processing under 270K | | OpenAI | GPT-5.4 | Active | $2.50 | $15.00 | $55.00 | Flagship model | | Google | Gemini 3.1 Flash-Lite Preview | Prev…
[15] Anthropic Pricing 2026: Plans, Costs & Real Spend - CheckThat.aicheckthat.ai
API Token Pricing (Per Million Tokens): | Provider | Model | Input | Output | --- --- | | Anthropic | Opus 4.7 | $5.00 | $25.00 | | OpenAI | GPT-4.1/o3 | $2.00 | $8.00 | | Google | Gemini 2.5 Pro (≤200k) | $1.25 | $10.00 | | Google | Gemini 3.1 Pro (≤200k) | $2.00 | $12.00 | Anthropic's flagship models cost 2–2.5× more per token than comparable OpenAI and Google offerings. The justification for the premium: 1M context window at standard pricing (no surcharge for 900k+ token requests) Constitutional AI safeguards as documented privacy-by-design No-training-by-default on commercial plans Self-s…
[16] Anthropic vs Google AI 2026: Claude 4 vs Gemini 2.5 Comparedpecollective.com
Feature Comparison | Feature | Anthropic (Claude API) | Google AI (Gemini API) | --- | Code Generation Quality | Excellent (Claude Sonnet 4.6) | Very good (Gemini 2.5 Pro) | | Context Window | 200K tokens | 1M tokens | | Reasoning / Analysis | Top | Strong | | Fast/Cheap Model | Claude Haiku 4.5 ($1/1M input) | Gemini Flash ($0.075/1M input) | | Safety / Guardrails | Constitutional AI (industry-leading) | Standard safety filters | | Multimodal | Vision + documents | Vision + audio + video | | API Design | Clean Messages API | REST + client libraries | | Free Tier | Limited free tier | Gene…
[17] Claude AI Pricing 2026: Every Plan — Free, Pro $20, Max $100/$200heyuan110.com

Important: These are approximate limits. Anthropic adjusts them dynamically based on server load, model used, and conversation complexity. Longer messages with more context consume more of your allocation. ### Claude Pro Rate Limits in Detail: Rarely hit limits Medium use (feature implementation, debugging): May hit limits in 2–3 hour sessions Heavy use (multi-file refactors, agentic loops): Will hit limits within 30–60 minutes When you hit the limit, Claude Code doesn’t stop working — it slows down. You’ll see longer wait times between responses, and Opus requests may temporarily downgrade…
[18] Claude AI Pricing 2026: The Ultimate Guide to Plans, API Costs, and ...glbgpt.com
GlobalGPT is an all-in-one AI platform featuring over 100+ top-tier models, including Claude 4.6 (Opus/Sonnet), GPT-5.4, and Gemini 3.1 Pro, grok. While the official Max plan costs $100, our $10.8 Pro Plan provides high-capacity access for text, image, and video generation without region locks or watermarks. By integrating these models into a single workspace, GlobalGPT allows you to switch between Claude and GPT-5.2 instantly to optimize both cost and performance. ## Claude AI Pricing: What Are the Subscription Plans Available for 2026? Claude AI Pricing: What Are the Subscription Plans Avai…
[19] Claude API Pricing 2026: Full Anthropic Cost Breakdown - MetaCTOmetacto.com
Quick Summary: Claude API Pricing at a Glance Anthropic offers three recommended tiers in 2026: Haiku 4.5 ($1/$5), Sonnet 4.6 ($3/$15), and Opus 4.6 ($5/$25) per million input/output tokens. Both 4.6 models include 1M context at standard pricing. Legacy models range from Haiku 3 ($0.25/$1.25) to Opus 4.1 ($15/$75). Combine prompt caching (90% savings) and batch API (50% off) to reduce costs by up to 95%. For alternatives, see our guides on OpenAI API pricing, Cohere pricing, and Google Gemini. [...] Short on time? Here’s the summary: Anthropic offers three current-generation model tiers:…
[20] Claude Pricing in 2026 for Individuals, Organizations, and ...finout.io
Subscription Plans for Individuals Anthropic offers individual Claude pricing across three tiers on claude.ai (all prices in USD). The Free plan requires no credit card and covers web, iOS, Android, and desktop access with text, image, and code generation, web search, and desktop extensions — subject to daily usage limits. Pro runs $20/month [annual rate TBC] and adds Claude Code in the terminal, file creation and code execution, unlimited projects, Google Workspace integration, remote MCP connectors, and extended reasoning models — the right tier for developers and power users. Max star…
[21] Gemini 2.5 Pro - Intelligence, Performance & Price Analysisartificialanalysis.ai
What is Gemini 2.5 Pro API pricing? Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens (based on Google's API). For a blended rate (3:1 input to output ratio), this is $3.44 per 1M tokens. Pricing may vary by provider. Compare provider pricing ### How verbose is Gemini 2.5 Pro? When evaluated on the Intelligence Index, Gemini 2.5 Pro generated 55M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 35M). ### Is Gemini 2.5 Pro a reasoning model? Yes, Gemini 2.5 Pro is a reasoning model. It uses…
[22] LLM API Pricing Comparison (2025): OpenAI, Gemini, Claudeintuitionlabs.ai
| Provider | Model | Input ($/M) | Output ($/M) | Context (tokens) | Remarks | --- --- --- | | OpenAI | GPT-5.2 Pro | $21.00 | $168.00 | 128K | Premium flagship (2026) | | OpenAI | GPT-5.2 | $1.75 | $14.00 | 128K | Latest flagship (2026) | | OpenAI | GPT-5 mini | $0.25 | $2.00 | 32K | Lite model | | OpenAI | GPT-5 nano | $0.05 | $0.40 | 32K | Budget model | | Google | Gemini 3.1 Pro | $2.00-$4.00 | $12-$18 | 2M | Latest Pro (2026) | | Google | Gemini 3 Flash | $0.50 | $3.00 | 2M | Latest Flash (2026) | | Google | Gemini 2.5 Pro | $1.25-$2.50 | $10-$15 | 2M | Tiered pricing | | Google | Gemini…
[23] The Complete Guide to AI Models in 2026: Capabilities, Pricing, and ...sureprompts.com
The pricing advantages are real. According to Google's Gemini API pricing page, Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens. That is 10x cheaper than Claude Sonnet 4.6 on input and 6x cheaper on output. Every current Gemini model supports 1M token context windows. Gemini 3.1 Pro Preview pushes to 2M tokens. According to TeamAI's March 2026 analysis, 2.5 Flash runs at 201 tokens per second versus Pro's 148. 1M+ Every current Gemini model supports 1M token context windows. Gemini 3.1 Pro Preview extends to 2M tokens, per Google's official documentat…
[24] Claude Sonnet 4.6 - Anthropicanthropic.com
© 2026 Anthropic PBC []( []( []( # Claude Sonnet 4.6 \ Anthropic
[25] Kimi 2.6 Benchmarks 2026: Scores, Rankings & Performancebenchlm.ai
What is the context window size of Kimi 2.6? Kimi 2.6 has a context window of 256K, which determines how much text it can process in a single interaction. ## Related Resources ### Don't miss the next GPT moment Which models moved up, what’s new, and what it costs. One email a week, 3-min read. Free. One email per week. Transparent LLM benchmark comparisons. Updated regularly. Last updated: April 20, 2026 ### Stay ahead of the LLM curve Rankings Dashboards Use Cases Explore & Tools Resources © 2026 benchlm.ai [...] Core Rankings Specialized Use Cases Dashboards Directories Guides & Lists T…
[26] Kimi K2.6 - API Pricing & Providers - OpenRouteropenrouter.ai
Kimi K2.6 - API Pricing & Providers | OpenRouter Skip to content OpenRouter / FusionModelsChatRankingsAppsEnterprisePricingDocs Sign Up Sign Up # MoonshotAI: Kimi K2.6 ### moonshotai/kimi-k2.6 ChatCompare Released Apr 20, 2026 262,144 context$0.75/M input tokens$3.50/M output tokens Academia (#28)Finance (#23)Health (#43)SEO (#45)Programming (#2)+3 categories [...] Moonlight 16B A3B Instruct Moonlight-16B-A3B-Instruct is a 16B-parameter Mixture-of-Experts (MoE) language model developed by Moonshot AI. It is optimized for instruction-following tasks with 3B activated parameters per inference…
[27] Kimi K2.6 is here: the open model that refuses to clock out - WhatLLMwhatllm.org
TL;DR Moonshot AI shipped Kimi K2.6 on April 20, a 1T parameter MoE with 32B active, 262K context, and native vision through MoonViT. It is built to run 12+ hour sessions with 4,000+ tool calls and to coordinate swarms of up to 300 sub-agents. This is not a better chatbot. It is an engineer that does not log off. Benchmarks land at or above GPT-5.4 and Claude Opus 4.6 on HLE-Full with tools (54.0), BrowseComp (83.2), SWE-Bench Pro (58.6), GPQA-Diamond (90.5), and AIME 2026 (96.4). Cloudflare Workers AI lists it at $0.95 per million input, $4 per million output. Claude Opus 4.6 is roughly 1…
[28] Kimi K2.6 on GMI Cloud: Architecture, Benchmarks & API Accessgmicloud.ai
Kimi K2.6: Architecture, Benchmarks, and What It Means for Production AI April 22, 2026 .png) Moonshot AI just open-sourced Kimi K2.6, and the results speak for themselves. It tops SWE-Bench Pro, runs 300 parallel sub-agents, and fits on 4x H100s in INT4. Built for autonomous coding, agent orchestration, and full-stack design. ## What Kimi K2.6 Is Kimi K2.6 is an open-source, native multimodal agentic model released by Moonshot AI on April 20, 2026, under a Modified MIT License. It is built for three things: long-horizon autonomous coding, coding-driven UI and full-stack design, and agent s…
[29] Kimi K2.6 pricing & specs — Moonshot AI (Kimi) | CloudPricecloudprice.net
Moonshot AI (Kimi) logo") # Kimi K2.6 Kimi K2.6isMoonshot AI (Kimi) logoMoonshot AI (Kimi)'s language model with a 262K context window, available from 3 providers, starting at $0.600 / 1M input and $2.80 / 1M output. An open-source native multimodal agentic LLM specializing in long-horizon coding, coding-driven design, autonomous execution, and swarm-based task orchestration. | Spec | [...] | | | --- | | Intelligence Index | 53.9 #4 | | Coding Index | 47.1 #12 | | GPQA | 0.9 #5 | | HLE | 0.4 #8 | | IFBench | 0.8 #12 | | Time to First Token | 0.78s #276 | | SciCode | 0.5 #6 | | LCR | 0.7 #19 |…
[30] Kimi K2.6 Pricing & Specs on Moonshot AI Kimi — LLMReference | LLM Referencellmreference.com
LLM Reference Moonshot AI Kimi # Kimi K2.6 on Moonshot AI Kimi Kimi K2 · Moonshot AI ## Capabilities ## About Kimi K2.6 Kimi K2.6 is Moonshot AI's latest agentic reasoning model, launched April 13 2026 as a code preview for Kimi Code subscribers. Built on a 1-trillion-parameter MoE architecture (32B active, 384 experts), it inherits K2.5's 256K context window and adds enhanced reliability for long-horizon agentic workflows — supporting 200–300 sequential tool calls without drift. Optimized for coding, multi-step agent planning, and vision-assisted tasks such as processing screenshots, PDFs, a…
[31] Moonshot AI's Kimi K2.6 - AI Model Details - DocsBot AIdocsbot.ai
NEWQ1 2026: Building the Foundation for AI That Acts → Moonshot AI # Kimi K2.6 Kimi K2.6 is Moonshot AI's latest open-source native multimodal agentic model, advancing long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. It keeps the Kimi K2.5 1T parameter MoE architecture with 32B activated parameters and 256K context, adds stronger coding and agent performance, and scales agent swarms up to 300 sub-agents and 4,000 coordinated steps for complex end-to-end tasks. Overview ↓Pricing ↓Price Comparison ↓Benchmarks ↓FAQ ↓ ## Model Overview…
[32] MoonshotAI: Kimi K2.6 – Effective Pricing | OpenRouteropenrouter.ai
MoonshotAI: Kimi K2.6 ### moonshotai/kimi-k2.6 Released Apr 20, 2026262,144 context$0.60/M input tokens$2.80/M output tokens Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a singl…
[33] moonshotai/Kimi-K2.6 - Hugging Facehuggingface.co
| OSWorld-Verified | 73.1 | 75.0 | 72.7 63.3 | | Coding | | Terminal-Bench 2.0 (Terminus-2) | 66.7 | 65.4 | 65.4 | 68.5 | 50.8 | | SWE-Bench Pro | 58.6 | 57.7 | 53.4 | 54.2 | 50.7 | | SWE-Bench Multilingual | 76.7 77.8 | 76.9 | 73.0 | | SWE-Bench Verified | 80.2 80.8 | 80.6 | 76.8 | | SciCode | 52.2 | 56.6 | 51.9 | 58.9 | 48.7 | | OJBench (python) | 60.6 60.3 | 70.7 | 54.7 | | LiveCodeBench (v6) | 89.6 88.8 | 91.7 | 85.0 | | Reasoning & Knowledge | | HLE-Full | 34.7 | 39.8 | 40.0 | 44.4 | 30.1 | | AIME 2026 | 96.4 | 99.2 | 96.7 | 98.3 | 95.8 | | HMMT 2026 (Feb) | 92.7 | 97.7 | 96.2 | 94.7 | 8…
[34] MoonshotAI: Kimi K2.6 Reviewdesignforonline.com
Performance Indices Source: Artificial Analysis This model was released recently. Independent benchmark evaluations are typically completed within days of release — these figures are preliminary and are likely to be updated as testing is finalised. ## Benchmark Scores ### Intelligence ### Technical ### Content Benchmark data from Artificial Analysis and Hugging Face How does MoonshotAI: Kimi K2.6 stack up? Compare side-by-side with other similar models. ## Model Information | | | --- | | OpenRouter ID | moonshotai/kimi-k2.6 | | Provider | moonshotai | | Release Date | April 20, 2026 | |…
[35] Moonshot AI Unveils Kimi K2.6, an Open-Weight Model Built for ...linkedin.com
36K followers Published Apr 20, 2026 + Follow Moonshot AI has released Kimi K2.6 as an open-weight model, positioning it directly against GPT-5.4 and Claude Opus 4.6 on coding benchmarks while emphasizing large-scale agent orchestration as its main differentiator. The model is designed not just for strong benchmark performance, but for extended autonomous execution, including the ability to run up to 300 agents in parallel. [...] Sign inJoin nowImage 2 Image 3: Moonshot AI Unveils Kimi K2.6, an Open-Weight Model Built for Benchmark Parity and Massive Agent Scale Kimi K2.6 is now availabl…
[36] API Pricingopenai.com
Price $10.00 / 1k calls Search content tokens are free. ## Containers Run code and tools in secure, scalable environments alongside your models. ### Price Now: 1 GB for $0.03 / 64GB for $1.92 per container Starting March 31, 2026: 1 GB for $0.03 / 64GB for $1.92 per 20-minute session per container ### Service tiers Balance performance, predictable costs, and availability based on your needs. Image 1: Stack icon #### Batch API Save 50% on inputs and outputs with the Batch API and run tasks asynchronously over 24 hours. Learn more(opens in a new window) Image 2: Timer icon #### Priority pro…
[37] 🚨 AI News | TestingCatalog (@testingcatalog) on Threadsthreads.com
BREAKING 🚨: GPT-5 API pricing details are now available! - 400,000 context window - pricing - in $1.25 / out $10 []( []( []( # Thread 10.6K views Image 1: A Threads user's profile picture testingcatalog 08/07/25 BREAKING 🚨: GPT-5 API pricing details are now available! - 400,000 context window - pricing - in $1.25 / out $10 Image 2: No photo description available. 95 5 4 2 Image 3: A Threads user's profile picture testingcatalog 08/07/25 ·Author Image 4: A Threads user's profile picture Link platform.openai.com/docs… Image 5: GPT-5 Model | OpenAI API Image 6 developers.openai.com GPT-5 Mod…
[38] GPT-5.4 API Pricing 2026: Latest Forecast, Scenarios & Cost ...evolink.ai
GPT-5.x Pricing History | Model | Release | Price (Input / Output, per 1M tokens) | Context | Notes | --- --- | GPT-5.0 | Aug 2025 | $1.25 / $10.00 | 400K context / 128K max output | Launch pricing | | GPT-5.1 | Nov 2025 | $1.25 / $10.00 | 400K | Same price, same core context tier | | GPT-5.2 | Dec 2025 | $1.75 / $14.00 | 400K | 40% increase for stronger reasoning | | GPT-5.2 Pro | Dec 2025 | $21.00 / $168.00 | 400K | Separately priced premium tier (Standard) | | GPT-5.3 (gpt-5.3-chat-latest / gpt-5.3-codex) | Mar 2026 | $1.75 / $14.00 | 400K | Listed API pricing (Standard) | | GPT-5.4…
[39] GPT-5.4 Pricing (2026): API Costs, Benchmarks & Worth the Upgrade?glbgpt.com
OpenAI’s public docs confirm that GPT-5.4 and GPT-5.4 Pro support a 1.05M context window. At the same time, the company also distinguishes between the normal pricing threshold under 272K input tokens and larger long-context sessions. For ChatGPT manual “Thinking” selection, OpenAI Help says context availability differs by plan, with higher limits on Pro and Enterprise than other paid tiers. So buyers should not assume that every product surface exposes the full long-context experience in the same way. [...] OpenAI’s public docs confirm that GPT-5.4 and GPT-5.4 Pro support a 1.05M context wind…
[40] OpenAI API Cost In 2026: Every Model Compared - CloudZerocloudzero.com
Model Provider Input (per 1M tokens) Output (per 1M tokens) Context window Best for GPT-5.4 Standard OpenAI $2.50 $15.00 272K (up to 1M) General-purpose, coding, computer use GPT-5.4 Mini OpenAI $0.75 $4.50 400K High-volume chat, content generation Claude Sonnet 4.6 Anthropic $3.00 $15.00 200K (up to 1M Nuanced writing, instruction-following Claude Haiku 4.5 Anthropic $1.00 $5.00 200K Fast, lightweight tasks Claude Opus 4.6 Anthropic $5.00 $25.00 1M Complex reasoning, agentic tasks, nuanced analysis Gemini 3.1 Pro (preview) Google $2.00 $12.00 1M Long-context reasoning and analysis Gemini 2.5…
[41] OpenAI API Pricing (March 2026): GPT-5, GPT-4.1, GPT-4o, o3 Per ...devtk.ai
Bottom Line OpenAI’s 2026 pricing strategy gives developers more options than ever. GPT-5 at $1.25/$10.00 is competitively priced against Gemini 2.5 Pro and significantly cheaper than Claude Sonnet 4.5. The budget tier — GPT-5 Mini at $0.25/$2.00 and GPT-4.1 Nano at $0.10/$0.40 — makes OpenAI accessible for high-volume production use cases that were previously cost-prohibitive. For most developers, the optimal strategy is: 1. Start with GPT-5 Mini for development and testing 2. Upgrade to GPT-5 only for tasks where Mini’s quality falls short 3. Use GPT-4.1 when you need the 1M context wind…
[42] OpenAI API Pricing 2026: True Cost Guide for Every Model - MetaCTOmetacto.com
| Model | Input (per 1M tokens) | Cached Input | Output (per 1M tokens) | Context Window | Best For | --- --- --- | | GPT-4.1 Nano | $0.10 | $0.025 | $0.40 | 1M | Ultra-low-cost classification, routing, simple tasks | | GPT-4o mini | $0.15 | $0.075 | $0.60 | 128K | Budget-friendly general tasks, high-volume processing | | GPT-5 Mini | $0.25 | $0.025 | $2.00 | 128K | Balanced cost and capability, chatbots, content generation | | GPT-4.1 Mini | $0.40 | $0.10 | $1.60 | 1M | Long-context tasks at low cost | | o4-mini | $1.10 | $0.275 | $4.40 | 200K | Budget reasoning, math, logic at scale | | o3-…
[43] GPT 5 API Pricing 2026 - Costs, Performance & Providerspricepertoken.com
Join the conversation on AI models, pricing, and tools. Price Per Token Community Price Per TokenPrice Per Token |Follow: OpenAI # GPT 5 API Pricing 2026 Compare pricing, benchmarks, and providers for GPT 5. Find the best value for your use case. Get our weekly newsletter on pricing changes, new releases, and tools. No bots, no big tech influence — join the new community for AI devs 8 Ways to Use Fewer Tokens Last updated: April 6, 2026 at 08:28 AM ## Overview GPT 5was released on August 7, 2025. Pricing starts at $1.25 per million input tokens and $10.00 per million output tokens. The model…
[44] GPT-5 Nano Pricing (2026): Cost per 1M Tokens + Calculatorgptbreeze.io
The model’s cheap AI model positioning doesn’t compromise on capability. With a massive 400,000-token context window and support for four different reasoning levels, GPT-5 Nano offers flexibility that matches its affordability. ## Complete GPT-5 Nano Cost Breakdown ### Input/Output Token Pricing Input tokens: $0.05 per 1 million tokens Output tokens: $0.40 per 1 million tokens Cached input tokens: $0.005 per 1 million (90% discount from $0.05) ### Context Limits Input limit: 400,000 tokens Output limit: 128,000 tokens Total context: ~528,000 tokens ### Reasoning Levels GPT-5 Nano can operate…
[45] Introducing GPT-5.5 - OpenAIopenai.com
For API developers, gpt-5.5 will soon be available in the Responses and Chat Completions APIs at $5 per 1M input tokens and $30 per 1M output tokens, with a 1M context window. Batch and Flex pricing are available at half the standard API rate, while Priority processing is available at 2.5x the standard rate. We will also release gpt-5.5-pro in the API for even higher accuracy, priced at $30 per 1M input tokens and $180 per 1M output tokens. See the pricing page⁠ for full details. While GPT‑5.5 is priced higher than GPT‑5.4, it is both more intelligent and much more token efficient. In Codex,…
[46] OpenAI Pricing in 2026 for Individuals, Orgs & Developers - Finoutfinout.io
ChatGPT Team is priced at $25 per user/month (billed annually) or $30 per user/month (billed monthly). It includes access to GPT-5 with increased usage limits, shared workspaces, and basic administrative tools. This plan is designed for small to mid-sized teams that need collaborative features and better performance than individual tiers. ChatGPT Enterprise provides a fully managed solution for large-scale deployments. Pricing is custom based on team size, usage volume, and feature requirements. It includes unlimited access to GPT-5, advanced security (e.g., SOC 2 compliance), single sign-on…
[47] OpenAI: GPT-5 Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com
Transform your business & boost efficiency with AI automation, utilising the very latest in LLMs, seamless no code automation options & MCPs Home > AI Models > OpenAI: GPT-5 # OpenAI: GPT-5 openai # OpenAI: GPT-5 ## Analysis Summary OpenAI: GPT-5 sits in the Specialist tier on our leaderboard, ranked #106 of 523 published models on overall intelligence. At $1.25 input and $10.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning. Editorial…

AnswersPublic URLApr 25, 202647 sources

How Kimi K2.6 compare to US top AI models?

Key takeaways

Kimi K2.6 looks competitive with top U.S. models, but not clearly dominant overall. The strongest case for it is cost-efficient coding and agent-style workflows; the strongest case for the U.S. leaders is broader multimodality, larger context in some cases, and more mature produc
**Where Kimi K2.6 looks strong**

Research answer

Where Kimi K2.6 looks strong
- Kimi K2.6 is positioned as an open, multimodal, agent-oriented model with a 262,144-token context window and API pricing around $0.75 per 1M input tokens and $3.50 per 1M output tokens on OpenRouter.^[1]
- Third-party coverage describes it as especially strong for long-horizon coding, UI/code generation, and multi-agent orchestration, rather than just normal chatbot use.^[1]^[5]
- On price, it appears cheaper than premium U.S. frontier models and even cheaper than Gemini 2.5 Pro’s official API price of $1.25 per 1M input and $10.00 per 1M output tokens.^[1]^[2]
Where U.S. top models still appear ahead
- Gemini 2.5 Pro has a much larger official context window of 1M tokens, which matters for very large documents, repositories, and long-running sessions.^[2]
- Third-party comparisons say Gemini 2.5 Pro supports voice processing, while Kimi K2.6 does not in those comparisons.^[6]
- U.S. models also generally have stronger ecosystem advantages: tighter integrations, more mature enterprise support, and better-known safety/governance tooling. I don’t have enough primary-source benchmark evidence here to rank GPT-5 or Claude definitively against Kimi K2.6 on pure intelligence.^[2]^[3]
How I’d compare them in practice
1. For coding agents and cost-sensitive API use: Kimi K2.6 is a serious contender.^[1]^[5]
2. For largest-context work: Gemini 2.5 Pro has the edge.^[2]
3. For safest “default enterprise bet”: U.S. leaders still look stronger because of ecosystem maturity and deployment confidence, though that is partly qualitative rather than benchmark-only.^[2]^[3]
Important caveat
- The available evidence in these search results is mixed: pricing/context data are reasonably supported, including official Google pricing, but many direct “Kimi vs GPT/Claude” performance claims come from aggregators and blog-style sources rather than clear primary benchmark pages.^[1]^[2]^[5] So the fair summary is: Kimi K2.6 is competitive and probably underpriced for its capability, but there is insufficient evidence here to say it broadly beats the top U.S. models overall.^[1]^[5]

If you want, I can turn this into a tighter head-to-head table against GPT-5, Claude, and Gemini by coding, reasoning, context, multimodality, and price.

Supporting visuals

Research conversation

YouApr 25, 2026

Research question

How Kimi K2.6 compare to US top AI models?

Studio Global AIApr 25, 202640 sources

Cited answer

Where Kimi K2.6 looks strong
- Kimi K2.6 is positioned as an open, multimodal, agent-oriented model with a 262,144-token context window and API pricing around $0.75 per 1M input tokens and $3.50 per 1M output tokens on OpenRouter.^[1]
- Third-party coverage describes it as especially strong for long-horizon coding, UI/code generation, and multi-agent orchestration, rather than just normal chatbot use.^[1]^[5]
- On price, it appears cheaper than premium U.S. frontier models and even cheaper than Gemini 2.5 Pro’s official API price of $1.25 per 1M input and $10.00 per 1M output tokens.^[1]^[2]
Where U.S. top models still appear ahead
- Gemini 2.5 Pro has a much larger official context window of 1M tokens, which matters for very large documents, repositories, and long-running sessions.^[2]
- Third-party comparisons say Gemini 2.5 Pro supports voice processing, while Kimi K2.6 does not in those comparisons.^[6]
- U.S. models also generally have stronger ecosystem advantages: tighter integrations, more mature enterprise support, and better-known safety/governance tooling. I don’t have enough primary-source benchmark evidence here to rank GPT-5 or Claude definitively against Kimi K2.6 on pure intelligence.^[2]^[3]
How I’d compare them in practice
1. For coding agents and cost-sensitive API use: Kimi K2.6 is a serious contender.^[1]^[5]
2. For largest-context work: Gemini 2.5 Pro has the edge.^[2]
3. For safest “default enterprise bet”: U.S. leaders still look stronger because of ecosystem maturity and deployment confidence, though that is partly qualitative rather than benchmark-only.^[2]^[3]
Important caveat
- The available evidence in these search results is mixed: pricing/context data are reasonably supported, including official Google pricing, but many direct “Kimi vs GPT/Claude” performance claims come from aggregators and blog-style sources rather than clear primary benchmark pages.^[1]^[2]^[5] So the fair summary is: Kimi K2.6 is competitive and probably underpriced for its capability, but there is insufficient evidence here to say it broadly beats the top U.S. models overall.^[1]^[5]

If you want, I can turn this into a tighter head-to-head table against GPT-5, Claude, and Gemini by coding, reasoning, context, multimodality, and price.

Continue your research

Search and fact-check: Why is there confusion about Grok 4.3’s actual specs and what has really shipped so far?

Can you make a comprehensive revision guide for me based on these documents? Using any sources to enrich the revision guide is also welcome.

Can you make a comprehensive revision guide for me based on these documents? Using any sources to enrich the revision...

Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index/introducing-gpt-5-5 Se

Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index...

How good Kimi K2.6 is?

Sources

[1] [AINews] Moonshot Kimi K2.6: the world's leading Open Model ...latent.space
DeepSeek V4 rumors are back, and we learned our lesson not to get too excited, but in their deafening silence since v3.2, Moonshot has owned the crown of leading Chinese open model lab for all of 2026 to date, and K2.6 refreshes the lead that K2.5 established in January, with (presumably) more continued pre/posttraining (this time, details of how much more training were not disclosed). Comparing the numbers from the two launches 3 months apart demonstrates the staggering amount of progress: Image 4 [...] Moonshot’s Kimi K2.6 was the clear release of the day: an open-weight 1T-parameter MoE wi…
[2] Claude vs Gemini: Complete Comparison 2026 - GuruSupgurusup.com
Claude Pro: $20/month — access to Opus 4.6 and Sonnet 4.6, extended context, priority access Gemini Advanced: $20/month (bundled with Google One AI Premium) — access to Pro 2.5, 1M context, integration with Google Workspace API pricing is where they diverge: Model | Input (per 1M tokens) | Output (per 1M tokens) Claude Opus 4.6 | $15 | $75 Claude Sonnet 4.6 | $3 | $15 Gemini 3.1 Pro | $7 | $21 Gemini 3.1 Flash | $0.15 | $0.60 Gemini Flash 2.5 is the cheapest high-quality model available — ideal for high-volume tasks. Claude Sonnet offers a strong mid-range option for teams that need better re…
[3] GPT-5 vs Kimi K2.5 — Pricing, Benchmarks & Performance Comparedanotherwrapper.com
AnotherWrapper.com logo AnotherWrapper.com logo Model Comparison # GPT-5vsKimi K2.5 API pricing, context window, throughput, and benchmark performance compared side by side. Kimi K2.5 costs 72% less per million tokens. OpenAI GPT-5 OpenAI Input $1.25 Output $10.00 Moonshot AI Kimi K2.5 Moonshot AI Input $0.60 Output $2.50 Save $8.15 per million tokens by choosing Kimi K2.5 over GPT-5 Based on blended rate (1M input + 1M output) ## Full Comparison Pricing, specs, and benchmarks side by side Verdict ## GPT-5 vs Kimi K2.5: The Bottom Line Kimi K2.5 offers both lower pricing and stronger benchmar…
[4] GPT-5 vs Kimi K2.6 (Comparative Analysis) | Galaxy.aiblog.galaxy.ai
Galaxy Logo # GPT-5 vs Kimi K2.6 (Comparative Analysis) OpenAI logo MoonshotAI logo ## Overview | | GPT-5GPT-5 | Kimi K2.6Kimi K2.6 | --- | Model Provider The organization behind this AI's development | OpenAI logoOpenAI | MoonshotAI logoMoonshotAI | | Input Context Window Maximum input tokens this model can process at once | 400K tokens | 256K tokens | | Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 65.5K tokens | | Release Date When this model first became publicly available | August 7, 2025 8 months ago August 7th, 2025 | April 20, 2026 6 days ago…
[5] Kimi AI: Complete Guide to Features, Pricing & How It ...nxcode.io
Key Takeaways Kimi AI is Moonshot AI's flagship assistant, powered by the K2.5 model -- a 1 trillion parameter Mixture-of-Experts architecture that activates only 32 billion parameters per request, balancing frontier performance with cost efficiency. 256K context window exceeds GPT-4o (128K) and Claude 3.5 (200K), making Kimi particularly strong for long-document analysis and research tasks. API pricing at $0.60/$2.50 per million tokens (input/output) undercuts GPT-5.4 by 4-17x and Claude Sonnet 4.6 by 5-6x. Kimi Code CLI is an open-source coding agent for your terminal, competing directly…
[6] Kimi K2.6 vs Gemini 2.5 Pro - Detailed Performance & Feature Comparisondocsbot.ai
Gemini 2.5 Pro is 13 months older than Kimi K2.6. Gemini 2.5 Pro has a larger context window (1M vs 262K tokens). Unlike Kimi K2.6, Gemini 2.5 Pro supports voice processing. ## Pricing Comparison Compare costs for input and output tokens between Kimi K2.6 and Gemini 2.5 Pro. | Price Type | MoonshotAIKimi K2.6 | Gemini 2.5 Pro | --- | Input Cost for processing tokens in your prompts | $0.95 per million tokens | $1.25 per million tokens | | Output Cost for tokens generated by the model | $4.00 per million tokens | $10.00 per million tokens | Gemini 2.5 Pro is roughly 2.3x more expensive compare…
[7] Kimi K2.6 vs GPT-5.3 Chat - AI Model Comparison | OpenRouteropenrouter.ai
moonshotai Context Length 262K Reasoning Providers 5 Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight. ### Activity Prompt 104B Reasoning 856M Com…
[8] Kimi K2.6: Pricing, Benchmarks & Performance - LLM Statsllm-stats.com
Kimi K2.6: Pricing, Benchmarks & Performance Image 1: LLM Stats LogoLLM Stats Leaderboards Benchmarks Compare Playground Arenas Gateway Services Search⌘K Sign in Toggle theme NEW•NEW•NEW•NEW• What if your agent could call anyone? CallingBox Start for free 1. Organizations 2. Moonshot AI 3. Kimi K2.6 Compare Chat Image 2: Moonshot AI logo # Kimi K2.6 Moonshot AI·Apr 2026·Modified MIT License Kimi K2.6 is Moonshot AI's open-source, native multimodal agentic model focused on state-of-the-art coding, long-horizon execution, and agent swarm capabilities. It scales horizontally to 300 sub-agents…
[9] Claude vs Gemini 2026: 82.1% vs 63.8% SWE-bench [Tested]tech-insider.org
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context Window | --- --- | | Claude Haiku 4.5 | $1.00 | $5.00 | 200K | | Claude Sonnet 4.6 | $3.00 | $15.00 | 200K | | Claude Opus 4.6 | $15.00 | $75.00 | 200K (1M beta) | | Gemini 2.5 Flash | $0.15 | $0.60 | 1M | | Gemini 2.5 Pro | $1.25 | $10.00 | 1M | | Gemini 3.1 Pro | $2.00 | $12.00 | 2M | The pricing gap is most dramatic at the lightweight tier. Gemini 2.5 Flash costs $0.15 per million input tokens, making it roughly 6.7 times cheaper than Claude Haiku 4.5 at $1.00. For high-volume applications like chatbots, document processing…
[10] Kimi K2.6 vs GPT-5.4: Moonshot AI's Open-Source Coding ...geeky-gadgets.com
A defining feature of Kimi K2.6 is its Agent Swarm technology, which coordinates up to 300 sub-agents across 4,000 steps. This marks a significant improvement over its predecessor, K2.5, allowing more efficient and scalable task execution. As an open source model, Kimi K2.6 enables developers with the freedom to test, modify and deploy it independently. This openness fosters innovation, transparency and collaboration within the AI development community, making it a valuable resource for developers seeking innovative tools without the constraints of proprietary systems. Kimi K2.6 Benchmarks Ki…
[11] Claude vs Gemini 2026: Ultimate AI Model Comparison & Picks - aicomparison.aiaicomparison.ai
Claude vs Gemini # Claude vs Gemini 2026: Ultimate AI Model Comparison & Picks This guide compares Claude vs Gemini for 2026 so you can pick the right model for your project. I focus on practical differences for developers, product teams, and enterprise buyers. Expect clear verdicts on coding accuracy, multimodal handling, context windows, pricing, and integration. Read this if you need to know whether Claude 3.7 or Claude Opus 4 gives safer, higher quality outputs for mission critical tasks, or whether Gemini 2.5 Pro or Gemini Flash delivers the throughput and multimodal power your pipeline…
[12] Moonshot AI vs ChatGPT-5: The Shock That Rewrites AI Powermedium.com
Moonshot AI vs GPT-5: The Power Shift SaaS Teams Can’t Ignore | Medium Sitemap Open in app Sign up Sign in , the frontier lab was always in the U.S. Think OpenAI, Anthropic, and others. That assumption just got shattered. Meet China’s Moonshot AI. Its latest model, Kimi K2 Thinking, beat both GPT-5 and Claude Sonnet 4.5 in multiple benchmark tests, and at a cost reportedly six to ten times lower. (AI News) [...] In practical SaaS terms: A model now exists that offers frontier-level reasoning and major cost savings. Accessibility to high-capability AI is widening. The competitive edge is shi…
[13] Gemini Developer API pricingai.google.dev
Image input is set at 560 tokens or $0.0011 per image. Image output is priced at $120 per 1,000,000 tokens. Output images from 1024x1024px (1K) and up to 2048x2048px (2K) consume 1120 tokens and are equivalent to $0.134 per image. Output images up to 4096x4096px (4K) consume 2000 tokens and are equivalent to $0.24 per image. A customer-submitted request to Gemini may result in one or more queries to Google Search. You will be charged for each individual search query performed. ## Gemini 2.5 Pro gemini-2.5-pro Try it in Google AI Studio Our state-of-the-art multipurpose model, which excels…
[14] Anthropic Claude API Pricing 2026 - Silicon Datasilicondata.com
| Provider | Model | Status | Input ($/1M) | Output ($/1M) | 10M in + 2M out | Note | --- --- --- | Anthropic | Claude Haiku 4.5 | Active | $1.00 | $5.00 | $20.00 | Low-cost Anthropic tier | | Anthropic | Claude Sonnet 4.6 | Active | $3.00 | $15.00 | $60.00 | Middle tier; 1M context available | | Anthropic | Claude Opus 4.6 | Active | $5.00 | $25.00 | $100.00 | Premium Anthropic tier | | OpenAI | GPT-5 mini | Active | $0.25 | $2.00 | $6.50 | Standard processing under 270K | | OpenAI | GPT-5.4 | Active | $2.50 | $15.00 | $55.00 | Flagship model | | Google | Gemini 3.1 Flash-Lite Preview | Prev…
[15] Anthropic Pricing 2026: Plans, Costs & Real Spend - CheckThat.aicheckthat.ai
API Token Pricing (Per Million Tokens): | Provider | Model | Input | Output | --- --- | | Anthropic | Opus 4.7 | $5.00 | $25.00 | | OpenAI | GPT-4.1/o3 | $2.00 | $8.00 | | Google | Gemini 2.5 Pro (≤200k) | $1.25 | $10.00 | | Google | Gemini 3.1 Pro (≤200k) | $2.00 | $12.00 | Anthropic's flagship models cost 2–2.5× more per token than comparable OpenAI and Google offerings. The justification for the premium: 1M context window at standard pricing (no surcharge for 900k+ token requests) Constitutional AI safeguards as documented privacy-by-design No-training-by-default on commercial plans Self-s…
[16] Anthropic vs Google AI 2026: Claude 4 vs Gemini 2.5 Comparedpecollective.com
Feature Comparison | Feature | Anthropic (Claude API) | Google AI (Gemini API) | --- | Code Generation Quality | Excellent (Claude Sonnet 4.6) | Very good (Gemini 2.5 Pro) | | Context Window | 200K tokens | 1M tokens | | Reasoning / Analysis | Top | Strong | | Fast/Cheap Model | Claude Haiku 4.5 ($1/1M input) | Gemini Flash ($0.075/1M input) | | Safety / Guardrails | Constitutional AI (industry-leading) | Standard safety filters | | Multimodal | Vision + documents | Vision + audio + video | | API Design | Clean Messages API | REST + client libraries | | Free Tier | Limited free tier | Gene…
[17] Claude AI Pricing 2026: Every Plan — Free, Pro $20, Max $100/$200heyuan110.com

Important: These are approximate limits. Anthropic adjusts them dynamically based on server load, model used, and conversation complexity. Longer messages with more context consume more of your allocation. ### Claude Pro Rate Limits in Detail: Rarely hit limits Medium use (feature implementation, debugging): May hit limits in 2–3 hour sessions Heavy use (multi-file refactors, agentic loops): Will hit limits within 30–60 minutes When you hit the limit, Claude Code doesn’t stop working — it slows down. You’ll see longer wait times between responses, and Opus requests may temporarily downgrade…
[18] Claude AI Pricing 2026: The Ultimate Guide to Plans, API Costs, and ...glbgpt.com
GlobalGPT is an all-in-one AI platform featuring over 100+ top-tier models, including Claude 4.6 (Opus/Sonnet), GPT-5.4, and Gemini 3.1 Pro, grok. While the official Max plan costs $100, our $10.8 Pro Plan provides high-capacity access for text, image, and video generation without region locks or watermarks. By integrating these models into a single workspace, GlobalGPT allows you to switch between Claude and GPT-5.2 instantly to optimize both cost and performance. ## Claude AI Pricing: What Are the Subscription Plans Available for 2026? Claude AI Pricing: What Are the Subscription Plans Avai…
[19] Claude API Pricing 2026: Full Anthropic Cost Breakdown - MetaCTOmetacto.com
Quick Summary: Claude API Pricing at a Glance Anthropic offers three recommended tiers in 2026: Haiku 4.5 ($1/$5), Sonnet 4.6 ($3/$15), and Opus 4.6 ($5/$25) per million input/output tokens. Both 4.6 models include 1M context at standard pricing. Legacy models range from Haiku 3 ($0.25/$1.25) to Opus 4.1 ($15/$75). Combine prompt caching (90% savings) and batch API (50% off) to reduce costs by up to 95%. For alternatives, see our guides on OpenAI API pricing, Cohere pricing, and Google Gemini. [...] Short on time? Here’s the summary: Anthropic offers three current-generation model tiers:…
[20] Claude Pricing in 2026 for Individuals, Organizations, and ...finout.io
Subscription Plans for Individuals Anthropic offers individual Claude pricing across three tiers on claude.ai (all prices in USD). The Free plan requires no credit card and covers web, iOS, Android, and desktop access with text, image, and code generation, web search, and desktop extensions — subject to daily usage limits. Pro runs $20/month [annual rate TBC] and adds Claude Code in the terminal, file creation and code execution, unlimited projects, Google Workspace integration, remote MCP connectors, and extended reasoning models — the right tier for developers and power users. Max star…
[21] Gemini 2.5 Pro - Intelligence, Performance & Price Analysisartificialanalysis.ai
What is Gemini 2.5 Pro API pricing? Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens (based on Google's API). For a blended rate (3:1 input to output ratio), this is $3.44 per 1M tokens. Pricing may vary by provider. Compare provider pricing ### How verbose is Gemini 2.5 Pro? When evaluated on the Intelligence Index, Gemini 2.5 Pro generated 55M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 35M). ### Is Gemini 2.5 Pro a reasoning model? Yes, Gemini 2.5 Pro is a reasoning model. It uses…
[22] LLM API Pricing Comparison (2025): OpenAI, Gemini, Claudeintuitionlabs.ai
| Provider | Model | Input ($/M) | Output ($/M) | Context (tokens) | Remarks | --- --- --- | | OpenAI | GPT-5.2 Pro | $21.00 | $168.00 | 128K | Premium flagship (2026) | | OpenAI | GPT-5.2 | $1.75 | $14.00 | 128K | Latest flagship (2026) | | OpenAI | GPT-5 mini | $0.25 | $2.00 | 32K | Lite model | | OpenAI | GPT-5 nano | $0.05 | $0.40 | 32K | Budget model | | Google | Gemini 3.1 Pro | $2.00-$4.00 | $12-$18 | 2M | Latest Pro (2026) | | Google | Gemini 3 Flash | $0.50 | $3.00 | 2M | Latest Flash (2026) | | Google | Gemini 2.5 Pro | $1.25-$2.50 | $10-$15 | 2M | Tiered pricing | | Google | Gemini…
[23] The Complete Guide to AI Models in 2026: Capabilities, Pricing, and ...sureprompts.com
The pricing advantages are real. According to Google's Gemini API pricing page, Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens. That is 10x cheaper than Claude Sonnet 4.6 on input and 6x cheaper on output. Every current Gemini model supports 1M token context windows. Gemini 3.1 Pro Preview pushes to 2M tokens. According to TeamAI's March 2026 analysis, 2.5 Flash runs at 201 tokens per second versus Pro's 148. 1M+ Every current Gemini model supports 1M token context windows. Gemini 3.1 Pro Preview extends to 2M tokens, per Google's official documentat…
[24] Claude Sonnet 4.6 - Anthropicanthropic.com
© 2026 Anthropic PBC []( []( []( # Claude Sonnet 4.6 \ Anthropic
[25] Kimi 2.6 Benchmarks 2026: Scores, Rankings & Performancebenchlm.ai
What is the context window size of Kimi 2.6? Kimi 2.6 has a context window of 256K, which determines how much text it can process in a single interaction. ## Related Resources ### Don't miss the next GPT moment Which models moved up, what’s new, and what it costs. One email a week, 3-min read. Free. One email per week. Transparent LLM benchmark comparisons. Updated regularly. Last updated: April 20, 2026 ### Stay ahead of the LLM curve Rankings Dashboards Use Cases Explore & Tools Resources © 2026 benchlm.ai [...] Core Rankings Specialized Use Cases Dashboards Directories Guides & Lists T…
[26] Kimi K2.6 - API Pricing & Providers - OpenRouteropenrouter.ai
Kimi K2.6 - API Pricing & Providers | OpenRouter Skip to content OpenRouter / FusionModelsChatRankingsAppsEnterprisePricingDocs Sign Up Sign Up # MoonshotAI: Kimi K2.6 ### moonshotai/kimi-k2.6 ChatCompare Released Apr 20, 2026 262,144 context$0.75/M input tokens$3.50/M output tokens Academia (#28)Finance (#23)Health (#43)SEO (#45)Programming (#2)+3 categories [...] Moonlight 16B A3B Instruct Moonlight-16B-A3B-Instruct is a 16B-parameter Mixture-of-Experts (MoE) language model developed by Moonshot AI. It is optimized for instruction-following tasks with 3B activated parameters per inference…
[27] Kimi K2.6 is here: the open model that refuses to clock out - WhatLLMwhatllm.org
TL;DR Moonshot AI shipped Kimi K2.6 on April 20, a 1T parameter MoE with 32B active, 262K context, and native vision through MoonViT. It is built to run 12+ hour sessions with 4,000+ tool calls and to coordinate swarms of up to 300 sub-agents. This is not a better chatbot. It is an engineer that does not log off. Benchmarks land at or above GPT-5.4 and Claude Opus 4.6 on HLE-Full with tools (54.0), BrowseComp (83.2), SWE-Bench Pro (58.6), GPQA-Diamond (90.5), and AIME 2026 (96.4). Cloudflare Workers AI lists it at $0.95 per million input, $4 per million output. Claude Opus 4.6 is roughly 1…
[28] Kimi K2.6 on GMI Cloud: Architecture, Benchmarks & API Accessgmicloud.ai
Kimi K2.6: Architecture, Benchmarks, and What It Means for Production AI April 22, 2026 .png) Moonshot AI just open-sourced Kimi K2.6, and the results speak for themselves. It tops SWE-Bench Pro, runs 300 parallel sub-agents, and fits on 4x H100s in INT4. Built for autonomous coding, agent orchestration, and full-stack design. ## What Kimi K2.6 Is Kimi K2.6 is an open-source, native multimodal agentic model released by Moonshot AI on April 20, 2026, under a Modified MIT License. It is built for three things: long-horizon autonomous coding, coding-driven UI and full-stack design, and agent s…
[29] Kimi K2.6 pricing & specs — Moonshot AI (Kimi) | CloudPricecloudprice.net
Moonshot AI (Kimi) logo") # Kimi K2.6 Kimi K2.6isMoonshot AI (Kimi) logoMoonshot AI (Kimi)'s language model with a 262K context window, available from 3 providers, starting at $0.600 / 1M input and $2.80 / 1M output. An open-source native multimodal agentic LLM specializing in long-horizon coding, coding-driven design, autonomous execution, and swarm-based task orchestration. | Spec | [...] | | | --- | | Intelligence Index | 53.9 #4 | | Coding Index | 47.1 #12 | | GPQA | 0.9 #5 | | HLE | 0.4 #8 | | IFBench | 0.8 #12 | | Time to First Token | 0.78s #276 | | SciCode | 0.5 #6 | | LCR | 0.7 #19 |…
[30] Kimi K2.6 Pricing & Specs on Moonshot AI Kimi — LLMReference | LLM Referencellmreference.com
LLM Reference Moonshot AI Kimi # Kimi K2.6 on Moonshot AI Kimi Kimi K2 · Moonshot AI ## Capabilities ## About Kimi K2.6 Kimi K2.6 is Moonshot AI's latest agentic reasoning model, launched April 13 2026 as a code preview for Kimi Code subscribers. Built on a 1-trillion-parameter MoE architecture (32B active, 384 experts), it inherits K2.5's 256K context window and adds enhanced reliability for long-horizon agentic workflows — supporting 200–300 sequential tool calls without drift. Optimized for coding, multi-step agent planning, and vision-assisted tasks such as processing screenshots, PDFs, a…
[31] Moonshot AI's Kimi K2.6 - AI Model Details - DocsBot AIdocsbot.ai
NEWQ1 2026: Building the Foundation for AI That Acts → Moonshot AI # Kimi K2.6 Kimi K2.6 is Moonshot AI's latest open-source native multimodal agentic model, advancing long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. It keeps the Kimi K2.5 1T parameter MoE architecture with 32B activated parameters and 256K context, adds stronger coding and agent performance, and scales agent swarms up to 300 sub-agents and 4,000 coordinated steps for complex end-to-end tasks. Overview ↓Pricing ↓Price Comparison ↓Benchmarks ↓FAQ ↓ ## Model Overview…
[32] MoonshotAI: Kimi K2.6 – Effective Pricing | OpenRouteropenrouter.ai
MoonshotAI: Kimi K2.6 ### moonshotai/kimi-k2.6 Released Apr 20, 2026262,144 context$0.60/M input tokens$2.80/M output tokens Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a singl…
[33] moonshotai/Kimi-K2.6 - Hugging Facehuggingface.co
| OSWorld-Verified | 73.1 | 75.0 | 72.7 63.3 | | Coding | | Terminal-Bench 2.0 (Terminus-2) | 66.7 | 65.4 | 65.4 | 68.5 | 50.8 | | SWE-Bench Pro | 58.6 | 57.7 | 53.4 | 54.2 | 50.7 | | SWE-Bench Multilingual | 76.7 77.8 | 76.9 | 73.0 | | SWE-Bench Verified | 80.2 80.8 | 80.6 | 76.8 | | SciCode | 52.2 | 56.6 | 51.9 | 58.9 | 48.7 | | OJBench (python) | 60.6 60.3 | 70.7 | 54.7 | | LiveCodeBench (v6) | 89.6 88.8 | 91.7 | 85.0 | | Reasoning & Knowledge | | HLE-Full | 34.7 | 39.8 | 40.0 | 44.4 | 30.1 | | AIME 2026 | 96.4 | 99.2 | 96.7 | 98.3 | 95.8 | | HMMT 2026 (Feb) | 92.7 | 97.7 | 96.2 | 94.7 | 8…
[34] MoonshotAI: Kimi K2.6 Reviewdesignforonline.com
Performance Indices Source: Artificial Analysis This model was released recently. Independent benchmark evaluations are typically completed within days of release — these figures are preliminary and are likely to be updated as testing is finalised. ## Benchmark Scores ### Intelligence ### Technical ### Content Benchmark data from Artificial Analysis and Hugging Face How does MoonshotAI: Kimi K2.6 stack up? Compare side-by-side with other similar models. ## Model Information | | | --- | | OpenRouter ID | moonshotai/kimi-k2.6 | | Provider | moonshotai | | Release Date | April 20, 2026 | |…
[35] Moonshot AI Unveils Kimi K2.6, an Open-Weight Model Built for ...linkedin.com
36K followers Published Apr 20, 2026 + Follow Moonshot AI has released Kimi K2.6 as an open-weight model, positioning it directly against GPT-5.4 and Claude Opus 4.6 on coding benchmarks while emphasizing large-scale agent orchestration as its main differentiator. The model is designed not just for strong benchmark performance, but for extended autonomous execution, including the ability to run up to 300 agents in parallel. [...] Sign inJoin nowImage 2 Image 3: Moonshot AI Unveils Kimi K2.6, an Open-Weight Model Built for Benchmark Parity and Massive Agent Scale Kimi K2.6 is now availabl…
[36] API Pricingopenai.com
Price $10.00 / 1k calls Search content tokens are free. ## Containers Run code and tools in secure, scalable environments alongside your models. ### Price Now: 1 GB for $0.03 / 64GB for $1.92 per container Starting March 31, 2026: 1 GB for $0.03 / 64GB for $1.92 per 20-minute session per container ### Service tiers Balance performance, predictable costs, and availability based on your needs. Image 1: Stack icon #### Batch API Save 50% on inputs and outputs with the Batch API and run tasks asynchronously over 24 hours. Learn more(opens in a new window) Image 2: Timer icon #### Priority pro…
[37] 🚨 AI News | TestingCatalog (@testingcatalog) on Threadsthreads.com
BREAKING 🚨: GPT-5 API pricing details are now available! - 400,000 context window - pricing - in $1.25 / out $10 []( []( []( # Thread 10.6K views Image 1: A Threads user's profile picture testingcatalog 08/07/25 BREAKING 🚨: GPT-5 API pricing details are now available! - 400,000 context window - pricing - in $1.25 / out $10 Image 2: No photo description available. 95 5 4 2 Image 3: A Threads user's profile picture testingcatalog 08/07/25 ·Author Image 4: A Threads user's profile picture Link platform.openai.com/docs… Image 5: GPT-5 Model | OpenAI API Image 6 developers.openai.com GPT-5 Mod…
[38] GPT-5.4 API Pricing 2026: Latest Forecast, Scenarios & Cost ...evolink.ai
GPT-5.x Pricing History | Model | Release | Price (Input / Output, per 1M tokens) | Context | Notes | --- --- | GPT-5.0 | Aug 2025 | $1.25 / $10.00 | 400K context / 128K max output | Launch pricing | | GPT-5.1 | Nov 2025 | $1.25 / $10.00 | 400K | Same price, same core context tier | | GPT-5.2 | Dec 2025 | $1.75 / $14.00 | 400K | 40% increase for stronger reasoning | | GPT-5.2 Pro | Dec 2025 | $21.00 / $168.00 | 400K | Separately priced premium tier (Standard) | | GPT-5.3 (gpt-5.3-chat-latest / gpt-5.3-codex) | Mar 2026 | $1.75 / $14.00 | 400K | Listed API pricing (Standard) | | GPT-5.4…
[39] GPT-5.4 Pricing (2026): API Costs, Benchmarks & Worth the Upgrade?glbgpt.com
OpenAI’s public docs confirm that GPT-5.4 and GPT-5.4 Pro support a 1.05M context window. At the same time, the company also distinguishes between the normal pricing threshold under 272K input tokens and larger long-context sessions. For ChatGPT manual “Thinking” selection, OpenAI Help says context availability differs by plan, with higher limits on Pro and Enterprise than other paid tiers. So buyers should not assume that every product surface exposes the full long-context experience in the same way. [...] OpenAI’s public docs confirm that GPT-5.4 and GPT-5.4 Pro support a 1.05M context wind…
[40] OpenAI API Cost In 2026: Every Model Compared - CloudZerocloudzero.com
Model Provider Input (per 1M tokens) Output (per 1M tokens) Context window Best for GPT-5.4 Standard OpenAI $2.50 $15.00 272K (up to 1M) General-purpose, coding, computer use GPT-5.4 Mini OpenAI $0.75 $4.50 400K High-volume chat, content generation Claude Sonnet 4.6 Anthropic $3.00 $15.00 200K (up to 1M Nuanced writing, instruction-following Claude Haiku 4.5 Anthropic $1.00 $5.00 200K Fast, lightweight tasks Claude Opus 4.6 Anthropic $5.00 $25.00 1M Complex reasoning, agentic tasks, nuanced analysis Gemini 3.1 Pro (preview) Google $2.00 $12.00 1M Long-context reasoning and analysis Gemini 2.5…
[41] OpenAI API Pricing (March 2026): GPT-5, GPT-4.1, GPT-4o, o3 Per ...devtk.ai
Bottom Line OpenAI’s 2026 pricing strategy gives developers more options than ever. GPT-5 at $1.25/$10.00 is competitively priced against Gemini 2.5 Pro and significantly cheaper than Claude Sonnet 4.5. The budget tier — GPT-5 Mini at $0.25/$2.00 and GPT-4.1 Nano at $0.10/$0.40 — makes OpenAI accessible for high-volume production use cases that were previously cost-prohibitive. For most developers, the optimal strategy is: 1. Start with GPT-5 Mini for development and testing 2. Upgrade to GPT-5 only for tasks where Mini’s quality falls short 3. Use GPT-4.1 when you need the 1M context wind…
[42] OpenAI API Pricing 2026: True Cost Guide for Every Model - MetaCTOmetacto.com
| Model | Input (per 1M tokens) | Cached Input | Output (per 1M tokens) | Context Window | Best For | --- --- --- | | GPT-4.1 Nano | $0.10 | $0.025 | $0.40 | 1M | Ultra-low-cost classification, routing, simple tasks | | GPT-4o mini | $0.15 | $0.075 | $0.60 | 128K | Budget-friendly general tasks, high-volume processing | | GPT-5 Mini | $0.25 | $0.025 | $2.00 | 128K | Balanced cost and capability, chatbots, content generation | | GPT-4.1 Mini | $0.40 | $0.10 | $1.60 | 1M | Long-context tasks at low cost | | o4-mini | $1.10 | $0.275 | $4.40 | 200K | Budget reasoning, math, logic at scale | | o3-…
[43] GPT 5 API Pricing 2026 - Costs, Performance & Providerspricepertoken.com
Join the conversation on AI models, pricing, and tools. Price Per Token Community Price Per TokenPrice Per Token |Follow: OpenAI # GPT 5 API Pricing 2026 Compare pricing, benchmarks, and providers for GPT 5. Find the best value for your use case. Get our weekly newsletter on pricing changes, new releases, and tools. No bots, no big tech influence — join the new community for AI devs 8 Ways to Use Fewer Tokens Last updated: April 6, 2026 at 08:28 AM ## Overview GPT 5was released on August 7, 2025. Pricing starts at $1.25 per million input tokens and $10.00 per million output tokens. The model…
[44] GPT-5 Nano Pricing (2026): Cost per 1M Tokens + Calculatorgptbreeze.io
The model’s cheap AI model positioning doesn’t compromise on capability. With a massive 400,000-token context window and support for four different reasoning levels, GPT-5 Nano offers flexibility that matches its affordability. ## Complete GPT-5 Nano Cost Breakdown ### Input/Output Token Pricing Input tokens: $0.05 per 1 million tokens Output tokens: $0.40 per 1 million tokens Cached input tokens: $0.005 per 1 million (90% discount from $0.05) ### Context Limits Input limit: 400,000 tokens Output limit: 128,000 tokens Total context: ~528,000 tokens ### Reasoning Levels GPT-5 Nano can operate…
[45] Introducing GPT-5.5 - OpenAIopenai.com
For API developers, gpt-5.5 will soon be available in the Responses and Chat Completions APIs at $5 per 1M input tokens and $30 per 1M output tokens, with a 1M context window. Batch and Flex pricing are available at half the standard API rate, while Priority processing is available at 2.5x the standard rate. We will also release gpt-5.5-pro in the API for even higher accuracy, priced at $30 per 1M input tokens and $180 per 1M output tokens. See the pricing page⁠ for full details. While GPT‑5.5 is priced higher than GPT‑5.4, it is both more intelligent and much more token efficient. In Codex,…
[46] OpenAI Pricing in 2026 for Individuals, Orgs & Developers - Finoutfinout.io
ChatGPT Team is priced at $25 per user/month (billed annually) or $30 per user/month (billed monthly). It includes access to GPT-5 with increased usage limits, shared workspaces, and basic administrative tools. This plan is designed for small to mid-sized teams that need collaborative features and better performance than individual tiers. ChatGPT Enterprise provides a fully managed solution for large-scale deployments. Pricing is custom based on team size, usage volume, and feature requirements. It includes unlimited access to GPT-5, advanced security (e.g., SOC 2 compliance), single sign-on…
[47] OpenAI: GPT-5 Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com
Transform your business & boost efficiency with AI automation, utilising the very latest in LLMs, seamless no code automation options & MCPs Home > AI Models > OpenAI: GPT-5 # OpenAI: GPT-5 openai # OpenAI: GPT-5 ## Analysis Summary OpenAI: GPT-5 sits in the Specialist tier on our leaderboard, ranked #106 of 523 published models on overall intelligence. At $1.25 input and $10.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning. Editorial…

AnswersPublic URLApr 25, 202647 sources

How Kimi K2.6 compare to US top AI models?

Key takeaways

Kimi K2.6 looks competitive with top U.S. models, but not clearly dominant overall. The strongest case for it is cost-efficient coding and agent-style workflows; the strongest case for the U.S. leaders is broader multimodality, larger context in some cases, and more mature produc
**Where Kimi K2.6 looks strong**

Research answer

Where Kimi K2.6 looks strong
- Kimi K2.6 is positioned as an open, multimodal, agent-oriented model with a 262,144-token context window and API pricing around $0.75 per 1M input tokens and $3.50 per 1M output tokens on OpenRouter.^[1]
- Third-party coverage describes it as especially strong for long-horizon coding, UI/code generation, and multi-agent orchestration, rather than just normal chatbot use.^[1]^[5]
- On price, it appears cheaper than premium U.S. frontier models and even cheaper than Gemini 2.5 Pro’s official API price of $1.25 per 1M input and $10.00 per 1M output tokens.^[1]^[2]
Where U.S. top models still appear ahead
- Gemini 2.5 Pro has a much larger official context window of 1M tokens, which matters for very large documents, repositories, and long-running sessions.^[2]
- Third-party comparisons say Gemini 2.5 Pro supports voice processing, while Kimi K2.6 does not in those comparisons.^[6]
- U.S. models also generally have stronger ecosystem advantages: tighter integrations, more mature enterprise support, and better-known safety/governance tooling. I don’t have enough primary-source benchmark evidence here to rank GPT-5 or Claude definitively against Kimi K2.6 on pure intelligence.^[2]^[3]
How I’d compare them in practice
1. For coding agents and cost-sensitive API use: Kimi K2.6 is a serious contender.^[1]^[5]
2. For largest-context work: Gemini 2.5 Pro has the edge.^[2]
3. For safest “default enterprise bet”: U.S. leaders still look stronger because of ecosystem maturity and deployment confidence, though that is partly qualitative rather than benchmark-only.^[2]^[3]
Important caveat
- The available evidence in these search results is mixed: pricing/context data are reasonably supported, including official Google pricing, but many direct “Kimi vs GPT/Claude” performance claims come from aggregators and blog-style sources rather than clear primary benchmark pages.^[1]^[2]^[5] So the fair summary is: Kimi K2.6 is competitive and probably underpriced for its capability, but there is insufficient evidence here to say it broadly beats the top U.S. models overall.^[1]^[5]

If you want, I can turn this into a tighter head-to-head table against GPT-5, Claude, and Gemini by coding, reasoning, context, multimodality, and price.

Supporting visuals

Research conversation

YouApr 25, 2026

Research question

How Kimi K2.6 compare to US top AI models?

Studio Global AIApr 25, 202640 sources

Cited answer

Where Kimi K2.6 looks strong
- Kimi K2.6 is positioned as an open, multimodal, agent-oriented model with a 262,144-token context window and API pricing around $0.75 per 1M input tokens and $3.50 per 1M output tokens on OpenRouter.^[1]
- Third-party coverage describes it as especially strong for long-horizon coding, UI/code generation, and multi-agent orchestration, rather than just normal chatbot use.^[1]^[5]
- On price, it appears cheaper than premium U.S. frontier models and even cheaper than Gemini 2.5 Pro’s official API price of $1.25 per 1M input and $10.00 per 1M output tokens.^[1]^[2]
Where U.S. top models still appear ahead
- Gemini 2.5 Pro has a much larger official context window of 1M tokens, which matters for very large documents, repositories, and long-running sessions.^[2]
- Third-party comparisons say Gemini 2.5 Pro supports voice processing, while Kimi K2.6 does not in those comparisons.^[6]
- U.S. models also generally have stronger ecosystem advantages: tighter integrations, more mature enterprise support, and better-known safety/governance tooling. I don’t have enough primary-source benchmark evidence here to rank GPT-5 or Claude definitively against Kimi K2.6 on pure intelligence.^[2]^[3]
How I’d compare them in practice
1. For coding agents and cost-sensitive API use: Kimi K2.6 is a serious contender.^[1]^[5]
2. For largest-context work: Gemini 2.5 Pro has the edge.^[2]
3. For safest “default enterprise bet”: U.S. leaders still look stronger because of ecosystem maturity and deployment confidence, though that is partly qualitative rather than benchmark-only.^[2]^[3]
Important caveat
- The available evidence in these search results is mixed: pricing/context data are reasonably supported, including official Google pricing, but many direct “Kimi vs GPT/Claude” performance claims come from aggregators and blog-style sources rather than clear primary benchmark pages.^[1]^[2]^[5] So the fair summary is: Kimi K2.6 is competitive and probably underpriced for its capability, but there is insufficient evidence here to say it broadly beats the top U.S. models overall.^[1]^[5]

If you want, I can turn this into a tighter head-to-head table against GPT-5, Claude, and Gemini by coding, reasoning, context, multimodality, and price.

Continue your research

Search and fact-check: Why is there confusion about Grok 4.3’s actual specs and what has really shipped so far?

Can you make a comprehensive revision guide for me based on these documents? Using any sources to enrich the revision guide is also welcome.

Can you make a comprehensive revision guide for me based on these documents? Using any sources to enrich the revision...

Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index/introducing-gpt-5-5 Se

Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index...

How good Kimi K2.6 is?

Sources

[1] [AINews] Moonshot Kimi K2.6: the world's leading Open Model ...latent.space
DeepSeek V4 rumors are back, and we learned our lesson not to get too excited, but in their deafening silence since v3.2, Moonshot has owned the crown of leading Chinese open model lab for all of 2026 to date, and K2.6 refreshes the lead that K2.5 established in January, with (presumably) more continued pre/posttraining (this time, details of how much more training were not disclosed). Comparing the numbers from the two launches 3 months apart demonstrates the staggering amount of progress: Image 4 [...] Moonshot’s Kimi K2.6 was the clear release of the day: an open-weight 1T-parameter MoE wi…
[2] Claude vs Gemini: Complete Comparison 2026 - GuruSupgurusup.com
Claude Pro: $20/month — access to Opus 4.6 and Sonnet 4.6, extended context, priority access Gemini Advanced: $20/month (bundled with Google One AI Premium) — access to Pro 2.5, 1M context, integration with Google Workspace API pricing is where they diverge: Model | Input (per 1M tokens) | Output (per 1M tokens) Claude Opus 4.6 | $15 | $75 Claude Sonnet 4.6 | $3 | $15 Gemini 3.1 Pro | $7 | $21 Gemini 3.1 Flash | $0.15 | $0.60 Gemini Flash 2.5 is the cheapest high-quality model available — ideal for high-volume tasks. Claude Sonnet offers a strong mid-range option for teams that need better re…
[3] GPT-5 vs Kimi K2.5 — Pricing, Benchmarks & Performance Comparedanotherwrapper.com
AnotherWrapper.com logo AnotherWrapper.com logo Model Comparison # GPT-5vsKimi K2.5 API pricing, context window, throughput, and benchmark performance compared side by side. Kimi K2.5 costs 72% less per million tokens. OpenAI GPT-5 OpenAI Input $1.25 Output $10.00 Moonshot AI Kimi K2.5 Moonshot AI Input $0.60 Output $2.50 Save $8.15 per million tokens by choosing Kimi K2.5 over GPT-5 Based on blended rate (1M input + 1M output) ## Full Comparison Pricing, specs, and benchmarks side by side Verdict ## GPT-5 vs Kimi K2.5: The Bottom Line Kimi K2.5 offers both lower pricing and stronger benchmar…
[4] GPT-5 vs Kimi K2.6 (Comparative Analysis) | Galaxy.aiblog.galaxy.ai
Galaxy Logo # GPT-5 vs Kimi K2.6 (Comparative Analysis) OpenAI logo MoonshotAI logo ## Overview | | GPT-5GPT-5 | Kimi K2.6Kimi K2.6 | --- | Model Provider The organization behind this AI's development | OpenAI logoOpenAI | MoonshotAI logoMoonshotAI | | Input Context Window Maximum input tokens this model can process at once | 400K tokens | 256K tokens | | Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | 65.5K tokens | | Release Date When this model first became publicly available | August 7, 2025 8 months ago August 7th, 2025 | April 20, 2026 6 days ago…
[5] Kimi AI: Complete Guide to Features, Pricing & How It ...nxcode.io
Key Takeaways Kimi AI is Moonshot AI's flagship assistant, powered by the K2.5 model -- a 1 trillion parameter Mixture-of-Experts architecture that activates only 32 billion parameters per request, balancing frontier performance with cost efficiency. 256K context window exceeds GPT-4o (128K) and Claude 3.5 (200K), making Kimi particularly strong for long-document analysis and research tasks. API pricing at $0.60/$2.50 per million tokens (input/output) undercuts GPT-5.4 by 4-17x and Claude Sonnet 4.6 by 5-6x. Kimi Code CLI is an open-source coding agent for your terminal, competing directly…
[6] Kimi K2.6 vs Gemini 2.5 Pro - Detailed Performance & Feature Comparisondocsbot.ai
Gemini 2.5 Pro is 13 months older than Kimi K2.6. Gemini 2.5 Pro has a larger context window (1M vs 262K tokens). Unlike Kimi K2.6, Gemini 2.5 Pro supports voice processing. ## Pricing Comparison Compare costs for input and output tokens between Kimi K2.6 and Gemini 2.5 Pro. | Price Type | MoonshotAIKimi K2.6 | Gemini 2.5 Pro | --- | Input Cost for processing tokens in your prompts | $0.95 per million tokens | $1.25 per million tokens | | Output Cost for tokens generated by the model | $4.00 per million tokens | $10.00 per million tokens | Gemini 2.5 Pro is roughly 2.3x more expensive compare…
[7] Kimi K2.6 vs GPT-5.3 Chat - AI Model Comparison | OpenRouteropenrouter.ai
moonshotai Context Length 262K Reasoning Providers 5 Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a single run without human oversight. ### Activity Prompt 104B Reasoning 856M Com…
[8] Kimi K2.6: Pricing, Benchmarks & Performance - LLM Statsllm-stats.com
Kimi K2.6: Pricing, Benchmarks & Performance Image 1: LLM Stats LogoLLM Stats Leaderboards Benchmarks Compare Playground Arenas Gateway Services Search⌘K Sign in Toggle theme NEW•NEW•NEW•NEW• What if your agent could call anyone? CallingBox Start for free 1. Organizations 2. Moonshot AI 3. Kimi K2.6 Compare Chat Image 2: Moonshot AI logo # Kimi K2.6 Moonshot AI·Apr 2026·Modified MIT License Kimi K2.6 is Moonshot AI's open-source, native multimodal agentic model focused on state-of-the-art coding, long-horizon execution, and agent swarm capabilities. It scales horizontally to 300 sub-agents…
[9] Claude vs Gemini 2026: 82.1% vs 63.8% SWE-bench [Tested]tech-insider.org
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context Window | --- --- | | Claude Haiku 4.5 | $1.00 | $5.00 | 200K | | Claude Sonnet 4.6 | $3.00 | $15.00 | 200K | | Claude Opus 4.6 | $15.00 | $75.00 | 200K (1M beta) | | Gemini 2.5 Flash | $0.15 | $0.60 | 1M | | Gemini 2.5 Pro | $1.25 | $10.00 | 1M | | Gemini 3.1 Pro | $2.00 | $12.00 | 2M | The pricing gap is most dramatic at the lightweight tier. Gemini 2.5 Flash costs $0.15 per million input tokens, making it roughly 6.7 times cheaper than Claude Haiku 4.5 at $1.00. For high-volume applications like chatbots, document processing…
[10] Kimi K2.6 vs GPT-5.4: Moonshot AI's Open-Source Coding ...geeky-gadgets.com
A defining feature of Kimi K2.6 is its Agent Swarm technology, which coordinates up to 300 sub-agents across 4,000 steps. This marks a significant improvement over its predecessor, K2.5, allowing more efficient and scalable task execution. As an open source model, Kimi K2.6 enables developers with the freedom to test, modify and deploy it independently. This openness fosters innovation, transparency and collaboration within the AI development community, making it a valuable resource for developers seeking innovative tools without the constraints of proprietary systems. Kimi K2.6 Benchmarks Ki…
[11] Claude vs Gemini 2026: Ultimate AI Model Comparison & Picks - aicomparison.aiaicomparison.ai
Claude vs Gemini # Claude vs Gemini 2026: Ultimate AI Model Comparison & Picks This guide compares Claude vs Gemini for 2026 so you can pick the right model for your project. I focus on practical differences for developers, product teams, and enterprise buyers. Expect clear verdicts on coding accuracy, multimodal handling, context windows, pricing, and integration. Read this if you need to know whether Claude 3.7 or Claude Opus 4 gives safer, higher quality outputs for mission critical tasks, or whether Gemini 2.5 Pro or Gemini Flash delivers the throughput and multimodal power your pipeline…
[12] Moonshot AI vs ChatGPT-5: The Shock That Rewrites AI Powermedium.com
Moonshot AI vs GPT-5: The Power Shift SaaS Teams Can’t Ignore | Medium Sitemap Open in app Sign up Sign in , the frontier lab was always in the U.S. Think OpenAI, Anthropic, and others. That assumption just got shattered. Meet China’s Moonshot AI. Its latest model, Kimi K2 Thinking, beat both GPT-5 and Claude Sonnet 4.5 in multiple benchmark tests, and at a cost reportedly six to ten times lower. (AI News) [...] In practical SaaS terms: A model now exists that offers frontier-level reasoning and major cost savings. Accessibility to high-capability AI is widening. The competitive edge is shi…
[13] Gemini Developer API pricingai.google.dev
Image input is set at 560 tokens or $0.0011 per image. Image output is priced at $120 per 1,000,000 tokens. Output images from 1024x1024px (1K) and up to 2048x2048px (2K) consume 1120 tokens and are equivalent to $0.134 per image. Output images up to 4096x4096px (4K) consume 2000 tokens and are equivalent to $0.24 per image. A customer-submitted request to Gemini may result in one or more queries to Google Search. You will be charged for each individual search query performed. ## Gemini 2.5 Pro gemini-2.5-pro Try it in Google AI Studio Our state-of-the-art multipurpose model, which excels…
[14] Anthropic Claude API Pricing 2026 - Silicon Datasilicondata.com
| Provider | Model | Status | Input ($/1M) | Output ($/1M) | 10M in + 2M out | Note | --- --- --- | Anthropic | Claude Haiku 4.5 | Active | $1.00 | $5.00 | $20.00 | Low-cost Anthropic tier | | Anthropic | Claude Sonnet 4.6 | Active | $3.00 | $15.00 | $60.00 | Middle tier; 1M context available | | Anthropic | Claude Opus 4.6 | Active | $5.00 | $25.00 | $100.00 | Premium Anthropic tier | | OpenAI | GPT-5 mini | Active | $0.25 | $2.00 | $6.50 | Standard processing under 270K | | OpenAI | GPT-5.4 | Active | $2.50 | $15.00 | $55.00 | Flagship model | | Google | Gemini 3.1 Flash-Lite Preview | Prev…
[15] Anthropic Pricing 2026: Plans, Costs & Real Spend - CheckThat.aicheckthat.ai
API Token Pricing (Per Million Tokens): | Provider | Model | Input | Output | --- --- | | Anthropic | Opus 4.7 | $5.00 | $25.00 | | OpenAI | GPT-4.1/o3 | $2.00 | $8.00 | | Google | Gemini 2.5 Pro (≤200k) | $1.25 | $10.00 | | Google | Gemini 3.1 Pro (≤200k) | $2.00 | $12.00 | Anthropic's flagship models cost 2–2.5× more per token than comparable OpenAI and Google offerings. The justification for the premium: 1M context window at standard pricing (no surcharge for 900k+ token requests) Constitutional AI safeguards as documented privacy-by-design No-training-by-default on commercial plans Self-s…
[16] Anthropic vs Google AI 2026: Claude 4 vs Gemini 2.5 Comparedpecollective.com
Feature Comparison | Feature | Anthropic (Claude API) | Google AI (Gemini API) | --- | Code Generation Quality | Excellent (Claude Sonnet 4.6) | Very good (Gemini 2.5 Pro) | | Context Window | 200K tokens | 1M tokens | | Reasoning / Analysis | Top | Strong | | Fast/Cheap Model | Claude Haiku 4.5 ($1/1M input) | Gemini Flash ($0.075/1M input) | | Safety / Guardrails | Constitutional AI (industry-leading) | Standard safety filters | | Multimodal | Vision + documents | Vision + audio + video | | API Design | Clean Messages API | REST + client libraries | | Free Tier | Limited free tier | Gene…
[17] Claude AI Pricing 2026: Every Plan — Free, Pro $20, Max $100/$200heyuan110.com

Important: These are approximate limits. Anthropic adjusts them dynamically based on server load, model used, and conversation complexity. Longer messages with more context consume more of your allocation. ### Claude Pro Rate Limits in Detail: Rarely hit limits Medium use (feature implementation, debugging): May hit limits in 2–3 hour sessions Heavy use (multi-file refactors, agentic loops): Will hit limits within 30–60 minutes When you hit the limit, Claude Code doesn’t stop working — it slows down. You’ll see longer wait times between responses, and Opus requests may temporarily downgrade…
[18] Claude AI Pricing 2026: The Ultimate Guide to Plans, API Costs, and ...glbgpt.com
GlobalGPT is an all-in-one AI platform featuring over 100+ top-tier models, including Claude 4.6 (Opus/Sonnet), GPT-5.4, and Gemini 3.1 Pro, grok. While the official Max plan costs $100, our $10.8 Pro Plan provides high-capacity access for text, image, and video generation without region locks or watermarks. By integrating these models into a single workspace, GlobalGPT allows you to switch between Claude and GPT-5.2 instantly to optimize both cost and performance. ## Claude AI Pricing: What Are the Subscription Plans Available for 2026? Claude AI Pricing: What Are the Subscription Plans Avai…
[19] Claude API Pricing 2026: Full Anthropic Cost Breakdown - MetaCTOmetacto.com
Quick Summary: Claude API Pricing at a Glance Anthropic offers three recommended tiers in 2026: Haiku 4.5 ($1/$5), Sonnet 4.6 ($3/$15), and Opus 4.6 ($5/$25) per million input/output tokens. Both 4.6 models include 1M context at standard pricing. Legacy models range from Haiku 3 ($0.25/$1.25) to Opus 4.1 ($15/$75). Combine prompt caching (90% savings) and batch API (50% off) to reduce costs by up to 95%. For alternatives, see our guides on OpenAI API pricing, Cohere pricing, and Google Gemini. [...] Short on time? Here’s the summary: Anthropic offers three current-generation model tiers:…
[20] Claude Pricing in 2026 for Individuals, Organizations, and ...finout.io
Subscription Plans for Individuals Anthropic offers individual Claude pricing across three tiers on claude.ai (all prices in USD). The Free plan requires no credit card and covers web, iOS, Android, and desktop access with text, image, and code generation, web search, and desktop extensions — subject to daily usage limits. Pro runs $20/month [annual rate TBC] and adds Claude Code in the terminal, file creation and code execution, unlimited projects, Google Workspace integration, remote MCP connectors, and extended reasoning models — the right tier for developers and power users. Max star…
[21] Gemini 2.5 Pro - Intelligence, Performance & Price Analysisartificialanalysis.ai
What is Gemini 2.5 Pro API pricing? Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens (based on Google's API). For a blended rate (3:1 input to output ratio), this is $3.44 per 1M tokens. Pricing may vary by provider. Compare provider pricing ### How verbose is Gemini 2.5 Pro? When evaluated on the Intelligence Index, Gemini 2.5 Pro generated 55M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 35M). ### Is Gemini 2.5 Pro a reasoning model? Yes, Gemini 2.5 Pro is a reasoning model. It uses…
[22] LLM API Pricing Comparison (2025): OpenAI, Gemini, Claudeintuitionlabs.ai
| Provider | Model | Input ($/M) | Output ($/M) | Context (tokens) | Remarks | --- --- --- | | OpenAI | GPT-5.2 Pro | $21.00 | $168.00 | 128K | Premium flagship (2026) | | OpenAI | GPT-5.2 | $1.75 | $14.00 | 128K | Latest flagship (2026) | | OpenAI | GPT-5 mini | $0.25 | $2.00 | 32K | Lite model | | OpenAI | GPT-5 nano | $0.05 | $0.40 | 32K | Budget model | | Google | Gemini 3.1 Pro | $2.00-$4.00 | $12-$18 | 2M | Latest Pro (2026) | | Google | Gemini 3 Flash | $0.50 | $3.00 | 2M | Latest Flash (2026) | | Google | Gemini 2.5 Pro | $1.25-$2.50 | $10-$15 | 2M | Tiered pricing | | Google | Gemini…
[23] The Complete Guide to AI Models in 2026: Capabilities, Pricing, and ...sureprompts.com
The pricing advantages are real. According to Google's Gemini API pricing page, Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens. That is 10x cheaper than Claude Sonnet 4.6 on input and 6x cheaper on output. Every current Gemini model supports 1M token context windows. Gemini 3.1 Pro Preview pushes to 2M tokens. According to TeamAI's March 2026 analysis, 2.5 Flash runs at 201 tokens per second versus Pro's 148. 1M+ Every current Gemini model supports 1M token context windows. Gemini 3.1 Pro Preview extends to 2M tokens, per Google's official documentat…
[25] Kimi 2.6 Benchmarks 2026: Scores, Rankings & Performancebenchlm.ai
What is the context window size of Kimi 2.6? Kimi 2.6 has a context window of 256K, which determines how much text it can process in a single interaction. ## Related Resources ### Don't miss the next GPT moment Which models moved up, what’s new, and what it costs. One email a week, 3-min read. Free. One email per week. Transparent LLM benchmark comparisons. Updated regularly. Last updated: April 20, 2026 ### Stay ahead of the LLM curve Rankings Dashboards Use Cases Explore & Tools Resources © 2026 benchlm.ai [...] Core Rankings Specialized Use Cases Dashboards Directories Guides & Lists T…
[26] Kimi K2.6 - API Pricing & Providers - OpenRouteropenrouter.ai
Kimi K2.6 - API Pricing & Providers | OpenRouter Skip to content OpenRouter / FusionModelsChatRankingsAppsEnterprisePricingDocs Sign Up Sign Up # MoonshotAI: Kimi K2.6 ### moonshotai/kimi-k2.6 ChatCompare Released Apr 20, 2026 262,144 context$0.75/M input tokens$3.50/M output tokens Academia (#28)Finance (#23)Health (#43)SEO (#45)Programming (#2)+3 categories [...] Moonlight 16B A3B Instruct Moonlight-16B-A3B-Instruct is a 16B-parameter Mixture-of-Experts (MoE) language model developed by Moonshot AI. It is optimized for instruction-following tasks with 3B activated parameters per inference…
[27] Kimi K2.6 is here: the open model that refuses to clock out - WhatLLMwhatllm.org
TL;DR Moonshot AI shipped Kimi K2.6 on April 20, a 1T parameter MoE with 32B active, 262K context, and native vision through MoonViT. It is built to run 12+ hour sessions with 4,000+ tool calls and to coordinate swarms of up to 300 sub-agents. This is not a better chatbot. It is an engineer that does not log off. Benchmarks land at or above GPT-5.4 and Claude Opus 4.6 on HLE-Full with tools (54.0), BrowseComp (83.2), SWE-Bench Pro (58.6), GPQA-Diamond (90.5), and AIME 2026 (96.4). Cloudflare Workers AI lists it at $0.95 per million input, $4 per million output. Claude Opus 4.6 is roughly 1…
[28] Kimi K2.6 on GMI Cloud: Architecture, Benchmarks & API Accessgmicloud.ai
Kimi K2.6: Architecture, Benchmarks, and What It Means for Production AI April 22, 2026 .png) Moonshot AI just open-sourced Kimi K2.6, and the results speak for themselves. It tops SWE-Bench Pro, runs 300 parallel sub-agents, and fits on 4x H100s in INT4. Built for autonomous coding, agent orchestration, and full-stack design. ## What Kimi K2.6 Is Kimi K2.6 is an open-source, native multimodal agentic model released by Moonshot AI on April 20, 2026, under a Modified MIT License. It is built for three things: long-horizon autonomous coding, coding-driven UI and full-stack design, and agent s…
[29] Kimi K2.6 pricing & specs — Moonshot AI (Kimi) | CloudPricecloudprice.net
Moonshot AI (Kimi) logo") # Kimi K2.6 Kimi K2.6isMoonshot AI (Kimi) logoMoonshot AI (Kimi)'s language model with a 262K context window, available from 3 providers, starting at $0.600 / 1M input and $2.80 / 1M output. An open-source native multimodal agentic LLM specializing in long-horizon coding, coding-driven design, autonomous execution, and swarm-based task orchestration. | Spec | [...] | | | --- | | Intelligence Index | 53.9 #4 | | Coding Index | 47.1 #12 | | GPQA | 0.9 #5 | | HLE | 0.4 #8 | | IFBench | 0.8 #12 | | Time to First Token | 0.78s #276 | | SciCode | 0.5 #6 | | LCR | 0.7 #19 |…
[30] Kimi K2.6 Pricing & Specs on Moonshot AI Kimi — LLMReference | LLM Referencellmreference.com
LLM Reference Moonshot AI Kimi # Kimi K2.6 on Moonshot AI Kimi Kimi K2 · Moonshot AI ## Capabilities ## About Kimi K2.6 Kimi K2.6 is Moonshot AI's latest agentic reasoning model, launched April 13 2026 as a code preview for Kimi Code subscribers. Built on a 1-trillion-parameter MoE architecture (32B active, 384 experts), it inherits K2.5's 256K context window and adds enhanced reliability for long-horizon agentic workflows — supporting 200–300 sequential tool calls without drift. Optimized for coding, multi-step agent planning, and vision-assisted tasks such as processing screenshots, PDFs, a…
[31] Moonshot AI's Kimi K2.6 - AI Model Details - DocsBot AIdocsbot.ai
NEWQ1 2026: Building the Foundation for AI That Acts → Moonshot AI # Kimi K2.6 Kimi K2.6 is Moonshot AI's latest open-source native multimodal agentic model, advancing long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. It keeps the Kimi K2.5 1T parameter MoE architecture with 32B activated parameters and 256K context, adds stronger coding and agent performance, and scales agent swarms up to 300 sub-agents and 4,000 coordinated steps for complex end-to-end tasks. Overview ↓Pricing ↓Price Comparison ↓Benchmarks ↓FAQ ↓ ## Model Overview…
[32] MoonshotAI: Kimi K2.6 – Effective Pricing | OpenRouteropenrouter.ai
MoonshotAI: Kimi K2.6 ### moonshotai/kimi-k2.6 Released Apr 20, 2026262,144 context$0.60/M input tokens$2.80/M output tokens Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and can convert prompts and visual inputs into production-ready interfaces. Its agent swarm architecture scales to hundreds of parallel sub-agents for autonomous task decomposition - delivering documents, websites, and spreadsheets in a singl…
[33] moonshotai/Kimi-K2.6 - Hugging Facehuggingface.co
| OSWorld-Verified | 73.1 | 75.0 | 72.7 63.3 | | Coding | | Terminal-Bench 2.0 (Terminus-2) | 66.7 | 65.4 | 65.4 | 68.5 | 50.8 | | SWE-Bench Pro | 58.6 | 57.7 | 53.4 | 54.2 | 50.7 | | SWE-Bench Multilingual | 76.7 77.8 | 76.9 | 73.0 | | SWE-Bench Verified | 80.2 80.8 | 80.6 | 76.8 | | SciCode | 52.2 | 56.6 | 51.9 | 58.9 | 48.7 | | OJBench (python) | 60.6 60.3 | 70.7 | 54.7 | | LiveCodeBench (v6) | 89.6 88.8 | 91.7 | 85.0 | | Reasoning & Knowledge | | HLE-Full | 34.7 | 39.8 | 40.0 | 44.4 | 30.1 | | AIME 2026 | 96.4 | 99.2 | 96.7 | 98.3 | 95.8 | | HMMT 2026 (Feb) | 92.7 | 97.7 | 96.2 | 94.7 | 8…
[34] MoonshotAI: Kimi K2.6 Reviewdesignforonline.com
Performance Indices Source: Artificial Analysis This model was released recently. Independent benchmark evaluations are typically completed within days of release — these figures are preliminary and are likely to be updated as testing is finalised. ## Benchmark Scores ### Intelligence ### Technical ### Content Benchmark data from Artificial Analysis and Hugging Face How does MoonshotAI: Kimi K2.6 stack up? Compare side-by-side with other similar models. ## Model Information | | | --- | | OpenRouter ID | moonshotai/kimi-k2.6 | | Provider | moonshotai | | Release Date | April 20, 2026 | |…
[35] Moonshot AI Unveils Kimi K2.6, an Open-Weight Model Built for ...linkedin.com
36K followers Published Apr 20, 2026 + Follow Moonshot AI has released Kimi K2.6 as an open-weight model, positioning it directly against GPT-5.4 and Claude Opus 4.6 on coding benchmarks while emphasizing large-scale agent orchestration as its main differentiator. The model is designed not just for strong benchmark performance, but for extended autonomous execution, including the ability to run up to 300 agents in parallel. [...] Sign inJoin nowImage 2 Image 3: Moonshot AI Unveils Kimi K2.6, an Open-Weight Model Built for Benchmark Parity and Massive Agent Scale Kimi K2.6 is now availabl…
[36] API Pricingopenai.com
Price $10.00 / 1k calls Search content tokens are free. ## Containers Run code and tools in secure, scalable environments alongside your models. ### Price Now: 1 GB for $0.03 / 64GB for $1.92 per container Starting March 31, 2026: 1 GB for $0.03 / 64GB for $1.92 per 20-minute session per container ### Service tiers Balance performance, predictable costs, and availability based on your needs. Image 1: Stack icon #### Batch API Save 50% on inputs and outputs with the Batch API and run tasks asynchronously over 24 hours. Learn more(opens in a new window) Image 2: Timer icon #### Priority pro…
[37] 🚨 AI News | TestingCatalog (@testingcatalog) on Threadsthreads.com
BREAKING 🚨: GPT-5 API pricing details are now available! - 400,000 context window - pricing - in $1.25 / out $10 []( []( []( # Thread 10.6K views Image 1: A Threads user's profile picture testingcatalog 08/07/25 BREAKING 🚨: GPT-5 API pricing details are now available! - 400,000 context window - pricing - in $1.25 / out $10 Image 2: No photo description available. 95 5 4 2 Image 3: A Threads user's profile picture testingcatalog 08/07/25 ·Author Image 4: A Threads user's profile picture Link platform.openai.com/docs… Image 5: GPT-5 Model | OpenAI API Image 6 developers.openai.com GPT-5 Mod…
[38] GPT-5.4 API Pricing 2026: Latest Forecast, Scenarios & Cost ...evolink.ai
GPT-5.x Pricing History | Model | Release | Price (Input / Output, per 1M tokens) | Context | Notes | --- --- | GPT-5.0 | Aug 2025 | $1.25 / $10.00 | 400K context / 128K max output | Launch pricing | | GPT-5.1 | Nov 2025 | $1.25 / $10.00 | 400K | Same price, same core context tier | | GPT-5.2 | Dec 2025 | $1.75 / $14.00 | 400K | 40% increase for stronger reasoning | | GPT-5.2 Pro | Dec 2025 | $21.00 / $168.00 | 400K | Separately priced premium tier (Standard) | | GPT-5.3 (gpt-5.3-chat-latest / gpt-5.3-codex) | Mar 2026 | $1.75 / $14.00 | 400K | Listed API pricing (Standard) | | GPT-5.4…
[39] GPT-5.4 Pricing (2026): API Costs, Benchmarks & Worth the Upgrade?glbgpt.com
OpenAI’s public docs confirm that GPT-5.4 and GPT-5.4 Pro support a 1.05M context window. At the same time, the company also distinguishes between the normal pricing threshold under 272K input tokens and larger long-context sessions. For ChatGPT manual “Thinking” selection, OpenAI Help says context availability differs by plan, with higher limits on Pro and Enterprise than other paid tiers. So buyers should not assume that every product surface exposes the full long-context experience in the same way. [...] OpenAI’s public docs confirm that GPT-5.4 and GPT-5.4 Pro support a 1.05M context wind…
[40] OpenAI API Cost In 2026: Every Model Compared - CloudZerocloudzero.com
Model Provider Input (per 1M tokens) Output (per 1M tokens) Context window Best for GPT-5.4 Standard OpenAI $2.50 $15.00 272K (up to 1M) General-purpose, coding, computer use GPT-5.4 Mini OpenAI $0.75 $4.50 400K High-volume chat, content generation Claude Sonnet 4.6 Anthropic $3.00 $15.00 200K (up to 1M Nuanced writing, instruction-following Claude Haiku 4.5 Anthropic $1.00 $5.00 200K Fast, lightweight tasks Claude Opus 4.6 Anthropic $5.00 $25.00 1M Complex reasoning, agentic tasks, nuanced analysis Gemini 3.1 Pro (preview) Google $2.00 $12.00 1M Long-context reasoning and analysis Gemini 2.5…
[41] OpenAI API Pricing (March 2026): GPT-5, GPT-4.1, GPT-4o, o3 Per ...devtk.ai
Bottom Line OpenAI’s 2026 pricing strategy gives developers more options than ever. GPT-5 at $1.25/$10.00 is competitively priced against Gemini 2.5 Pro and significantly cheaper than Claude Sonnet 4.5. The budget tier — GPT-5 Mini at $0.25/$2.00 and GPT-4.1 Nano at $0.10/$0.40 — makes OpenAI accessible for high-volume production use cases that were previously cost-prohibitive. For most developers, the optimal strategy is: 1. Start with GPT-5 Mini for development and testing 2. Upgrade to GPT-5 only for tasks where Mini’s quality falls short 3. Use GPT-4.1 when you need the 1M context wind…
[42] OpenAI API Pricing 2026: True Cost Guide for Every Model - MetaCTOmetacto.com
| Model | Input (per 1M tokens) | Cached Input | Output (per 1M tokens) | Context Window | Best For | --- --- --- | | GPT-4.1 Nano | $0.10 | $0.025 | $0.40 | 1M | Ultra-low-cost classification, routing, simple tasks | | GPT-4o mini | $0.15 | $0.075 | $0.60 | 128K | Budget-friendly general tasks, high-volume processing | | GPT-5 Mini | $0.25 | $0.025 | $2.00 | 128K | Balanced cost and capability, chatbots, content generation | | GPT-4.1 Mini | $0.40 | $0.10 | $1.60 | 1M | Long-context tasks at low cost | | o4-mini | $1.10 | $0.275 | $4.40 | 200K | Budget reasoning, math, logic at scale | | o3-…
[43] GPT 5 API Pricing 2026 - Costs, Performance & Providerspricepertoken.com
Join the conversation on AI models, pricing, and tools. Price Per Token Community Price Per TokenPrice Per Token |Follow: OpenAI # GPT 5 API Pricing 2026 Compare pricing, benchmarks, and providers for GPT 5. Find the best value for your use case. Get our weekly newsletter on pricing changes, new releases, and tools. No bots, no big tech influence — join the new community for AI devs 8 Ways to Use Fewer Tokens Last updated: April 6, 2026 at 08:28 AM ## Overview GPT 5was released on August 7, 2025. Pricing starts at $1.25 per million input tokens and $10.00 per million output tokens. The model…
[44] GPT-5 Nano Pricing (2026): Cost per 1M Tokens + Calculatorgptbreeze.io
The model’s cheap AI model positioning doesn’t compromise on capability. With a massive 400,000-token context window and support for four different reasoning levels, GPT-5 Nano offers flexibility that matches its affordability. ## Complete GPT-5 Nano Cost Breakdown ### Input/Output Token Pricing Input tokens: $0.05 per 1 million tokens Output tokens: $0.40 per 1 million tokens Cached input tokens: $0.005 per 1 million (90% discount from $0.05) ### Context Limits Input limit: 400,000 tokens Output limit: 128,000 tokens Total context: ~528,000 tokens ### Reasoning Levels GPT-5 Nano can operate…
[45] Introducing GPT-5.5 - OpenAIopenai.com
For API developers, gpt-5.5 will soon be available in the Responses and Chat Completions APIs at $5 per 1M input tokens and $30 per 1M output tokens, with a 1M context window. Batch and Flex pricing are available at half the standard API rate, while Priority processing is available at 2.5x the standard rate. We will also release gpt-5.5-pro in the API for even higher accuracy, priced at $30 per 1M input tokens and $180 per 1M output tokens. See the pricing page⁠ for full details. While GPT‑5.5 is priced higher than GPT‑5.4, it is both more intelligent and much more token efficient. In Codex,…
[46] OpenAI Pricing in 2026 for Individuals, Orgs & Developers - Finoutfinout.io
ChatGPT Team is priced at $25 per user/month (billed annually) or $30 per user/month (billed monthly). It includes access to GPT-5 with increased usage limits, shared workspaces, and basic administrative tools. This plan is designed for small to mid-sized teams that need collaborative features and better performance than individual tiers. ChatGPT Enterprise provides a fully managed solution for large-scale deployments. Pricing is custom based on team size, usage volume, and feature requirements. It includes unlimited access to GPT-5, advanced security (e.g., SOC 2 compliance), single sign-on…
[47] OpenAI: GPT-5 Review | Pricing, Benchmarks & Capabilities (2026) | Design for Onlinedesignforonline.com
Transform your business & boost efficiency with AI automation, utilising the very latest in LLMs, seamless no code automation options & MCPs Home > AI Models > OpenAI: GPT-5 # OpenAI: GPT-5 openai # OpenAI: GPT-5 ## Analysis Summary OpenAI: GPT-5 sits in the Specialist tier on our leaderboard, ranked #106 of 523 published models on overall intelligence. At $1.25 input and $10.00 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, vision, and reasoning. Editorial…

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Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index/introducing-gpt-5-5 Se

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Search and fact-check: Why is there confusion about Grok 4.3’s actual specs and what has really shipped so far?

Can you make a comprehensive revision guide for me based on these documents? Using any sources to enrich the revision guide is also welcome.

Claude Opus 4.7 vs GPT 5.5 introduction From https://www.anthropic.com/news/claude-opus-4-7, https://openai.com/index/introducing-gpt-5-5 Se

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