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AnswersPublic URLApr 25, 202612 sources

How good Kimi K2.6 is?

Kimi K2.6 looks very strong, especially for coding, long context work, and agent style tool use, but the public evidence is still early and should be treated as partly preliminary. Best at coding/agent tasks: Reports...

Kimi K2.6 looks very strong, especially for coding, long context work, and agent style tool use, but the public evidence is still early and should be treated as partly preliminary. Best at coding/agent tasks: Reports say Kimi K2.6 scores 58.6% on SWE Bench Pro , slightly ahead of cited GPT 5.4 and Claude Opus 4.6 resul

Key takeaways

  • Kimi K2.6 looks very strong, especially for coding, long-context work, and agent-style tool use, but the public evidence is still early and should be treated as partly preliminary.
  • **Best at coding/agent tasks:** Reports say Kimi K2.6 scores **58.6% on SWE-Bench Pro**, slightly ahead of cited GPT-5.4 and Claude Opus 4.6 results in that benchmark [1]. Another source reports **65.8% on SWE-bench Verified**, **53.7% on LiveCodeBench v6**, and **80.3% on EvalPl

Research answer

Kimi K2.6 looks very strong, especially for coding, long-context work, and agent-style tool use, but the public evidence is still early and should be treated as partly preliminary.

  • Best at coding/agent tasks: Reports say Kimi K2.6 scores 58.6% on SWE-Bench Pro, slightly ahead of cited GPT-5.4 and Claude Opus 4.6 results in that benchmark [1]. Another source reports 65.8% on SWE-bench Verified, 53.7% on LiveCodeBench v6, and 80.3% on EvalPlus [8].

  • Large and capable architecture: It is described as a 1T-parameter Mixture-of-Experts model, with about 32B active parameters, and a 262K-token context window [3]. That makes it suitable for large codebases, long documents, and multi-step workflows.

  • Agentic use is a major selling point: Sources describe support for long-running sessions, thousands of tool calls, and large multi-agent orchestration, including claims of up to 300 sub-agents [3][4]. If true in real use, that is more important than normal chat quality.

  • Open-weight / open-source angle: Multiple sources describe it as an open or open-weight model, which is a big advantage if you need self-hosting, customization, or lower vendor lock-in [1][4].

  • Cost looks competitive: One pricing source lists about $0.80 per million input tokens and $3.50 per million output tokens [7], though pricing may vary by provider.

  • Main caveat: Independent benchmark coverage is still limited because the model is very new; one review notes that evaluations are preliminary and likely to be updated [9]. So I would not treat all leaderboard claims as settled yet.

Overall: Kimi K2.6 appears to be one of the strongest open-weight models for coding and agent workflows right now. For general chat, writing, safety, and reliability, I’d want more independent testing before saying it clearly beats top closed models.

Supporting visuals

The Best AI Models So Far in 2026 | Design for Online Gemini 3.1 Pro, Claude Sonnet 4.6, Grok 4.20 and more all dropped in February 2026. We rank the best AI models, compare benchm
The Best AI Models So Far in 2026 | Design for Online Gemini 3.1 Pro, Claude Sonnet 4.6, Grok 4.20 and more all dropped in February 2026The Best AI Models So Far in 2026 | Design for Online Gemini 3.1 Pro, Claude Sonnet 4.6, Grok 4.20 and more all dropped in February 2026. We rank the best AI models, compare benchmarks and break down real costs.
Multi-objective performance optimization plot from a 13-hour Kimi K2.6 session: throughput lifts from 0.43 MT/s baseline to 1.24 MT/s after CPU-aware tuning and empty-set short-cir
Multi-objective performance optimization plot from a 13-hour Kimi K2.6 session: throughput lifts from 0.43 MT/s baseline to 1.24 MT/s afterMulti-objective performance optimization plot from a 13-hour Kimi K2.6 session: throughput lifts from 0.43 MT/s baseline to 1.24 MT/s after CPU-aware tuning and empty-set short-circuit optimizations
Kimi K2.6 Qwen3.5-0.8B inference optimization case showing a jump from ~15 to 193 tokens/sec, 20% faster than LM Studio
Kimi K2.6 Qwen3.5-0.8B inference optimization case showing a jump from ~15 to 193 tokens/sec, 20% faster than LM Studio
Kimi Design Bench comparing K2.6 Agent against Gemini 3.1 Pro — Kimi wins 47.5%, tie 21.1%, Google wins 31.4%
Kimi Design Bench comparing K2.6 Agent against Gemini 3.1 Pro — Kimi wins 47.5%, tie 21.1%, Google wins 31.4%
Kimi Code Bench chart showing K2.5 at 57.4% and K2.6 at 68.2% on Moonshot's internal coding evaluation
Kimi Code Bench chart showing K2.5 at 57.4% and K2.6 at 68.2% on Moonshot's internal coding evaluation
Kimi Claw Bench chart showing K2.5 at 59.6 and K2.6 at 65.5 on heterogeneous agent collaboration
Kimi Claw Bench chart showing K2.5 at 59.6 and K2.6 at 65.5 on heterogeneous agent collaboration
Moonshot AI Releases Kimi K2.6 Open-Source Coding Model with Autonomous Multi-Day Task Execution
Moonshot AI Releases Kimi K2.6 Open-Source Coding Model with Autonomous Multi-Day Task Execution
Kimi K2.6 launch visual showing a moon with iridescent aurora over a dark background
Kimi K2.6 launch visual showing a moon with iridescent aurora over a dark background
Viral Video Adverts with Google's Veo 3, IKEA, John Lewis, Lego, Dunelm and more.
Viral Video Adverts with Google's Veo 3, IKEA, John Lewis, Lego, Dunelm and moreViral Video Adverts with Google's Veo 3, IKEA, John Lewis, Lego, Dunelm and more.
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Research conversation

You

Research question

How good Kimi K2.6 is?

Studio Global AI12 sources

Cited answer

Kimi K2.6 looks very strong, especially for coding, long-context work, and agent-style tool use, but the public evidence is still early and should be treated as partly preliminary.

  • Best at coding/agent tasks: Reports say Kimi K2.6 scores 58.6% on SWE-Bench Pro, slightly ahead of cited GPT-5.4 and Claude Opus 4.6 results in that benchmark [1]. Another source reports 65.8% on SWE-bench Verified, 53.7% on LiveCodeBench v6, and 80.3% on EvalPlus [8].

  • Large and capable architecture: It is described as a 1T-parameter Mixture-of-Experts model, with about 32B active parameters, and a 262K-token context window [3]. That makes it suitable for large codebases, long documents, and multi-step workflows.

  • Agentic use is a major selling point: Sources describe support for long-running sessions, thousands of tool calls, and large multi-agent orchestration, including claims of up to 300 sub-agents [3][4]. If true in real use, that is more important than normal chat quality.

  • Open-weight / open-source angle: Multiple sources describe it as an open or open-weight model, which is a big advantage if you need self-hosting, customization, or lower vendor lock-in [1][4].

  • Cost looks competitive: One pricing source lists about $0.80 per million input tokens and $3.50 per million output tokens [7], though pricing may vary by provider.

  • Main caveat: Independent benchmark coverage is still limited because the model is very new; one review notes that evaluations are preliminary and likely to be updated [9]. So I would not treat all leaderboard claims as settled yet.

Overall: Kimi K2.6 appears to be one of the strongest open-weight models for coding and agent workflows right now. For general chat, writing, safety, and reliability, I’d want more independent testing before saying it clearly beats top closed models.

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What is the short answer to "How good Kimi K2.6 is?"?

Kimi K2.6 looks very strong, especially for coding, long-context work, and agent-style tool use, but the public evidence is still early and should be treated as partly preliminary.

What are the key points to validate first?

Kimi K2.6 looks very strong, especially for coding, long-context work, and agent-style tool use, but the public evidence is still early and should be treated as partly preliminary. **Best at coding/agent tasks:** Reports say Kimi K2.6 scores **58.6% on SWE-Bench Pro**, slightly ahead of cited GPT-5.4 and Claude Opus 4.6 results in that benchmark [1]. Another source reports **65.8% on SWE-bench Verified**, **53.7% on LiveCodeBench v6**, and **80.3% on EvalPl

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Cross-check this answer against "How Kimi K2.6 compare to US top AI models?".

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

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

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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...

Sources

  • [1] How to Use Kimi K2.6: Complete Guide to Moonshot AI's New 1T ...tosea.ai

    On April 20, 2026, Moonshot AI released Kimi K2.6 — a 1-trillion-parameter open-source Mixture-of-Experts model positioned directly at the agentic-coding segment that Claude Opus 4.7 and GPT-5.4 have dominated through early 2026. The numbers on paper are striking: SWE-Bench Pro at 58.6% (ahead of both Opus 4.6 and GPT-5.4), Humanity's Last Exam with tools at 54.0% (ahead of both), and a 185% throughput lift over K2.5 in a real 13-hour optimization run against the exchange-core benchmark. For a weights-available Chinese model to lead US frontier labs on commercially relevant agentic benchmar…

  • [2] Kimi K2.6 - Vals AIvals.ai

    Benchmarks Models Comparison Model Guide App Reports News About Benchmarks Models Comparison Model Guide App Reports About Release date Models 4/20/2026 Moonshot AI Kimi K2.6 4/16/2026 Anthropic Claude Opus 4.7 4/8/2026 Meta Muse Spark 4/2/2026 Google Gemma 4 31B IT 4/2/2026 Alibaba Qwen 3.6 Plus 4/1/2026 zAI GLM 5.1 4/1/2026 Arcee AI Trinity Large Thinking 3/17/2026 OpenAI GPT 5.4 Mini 3/17/2026 OpenAI GPT 5.4 Nano 3/17/2026 MiniMax MiniMax-M2.7 3/9/2026 xAI Grok 4.20 (Reasoning) 3/5/2026 OpenAI GPT 5.4 3/3/2026 Google Gemini 3.1 Flash Lite Preview 2/24/2026 OpenAI GPT 5.3 Codex 2/23/2026 Al…

  • [3] 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…

  • [4] 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…

  • [5] Kimi K2.6: Pricing, Benchmarks & Performance - LLM Statsllm-stats.com

    10Image 53Qwen3.5-27B 0.80 Show 21 more Notice missing or incorrect data?Let us know→ ### Specifications Parameters 1.0T License Modified MIT License Released Apr 2026 Output tokens 262K moe:true tuning:instruct thinking:true ### Modalities In text image video Out text ### Resources API ReferencePlaygroundBlogWeightsRepository CallingBox The voice stack, already built Telephony, STT, TTS, and orchestration in one API. Give your AI agents a phone number and have them make calls for you. Start for freeRead the docs $0.05 /min all-in 7 lines of code ## FAQ Common questions about Kimi K2.6 ### Wh…

  • [6] China’s Moonshot AI Releases Kimi K2.6, Pushing Boundaries in Coding, Multi-Agent Capabilitiesyicaiglobal.com

    account inflog out LOG IN| ABOUT US|CONTACT Home Economy Finance Business Tech Auto People Opinion Video China’s Moonshot AI Releases Kimi K2.6, Pushing Boundaries in Coding, Multi-Agent Capabilities Lv Qian DATE: Apr 21 2026 / SOURCE: Yicai China’s Moonshot AI Releases Kimi K2.6, Pushing Boundaries in Coding, Multi-Agent Capabilities (Yicai) April 21 -- Chinese artificial intelligence startup Moonshot AI launched Kimi K2.6, the latest addition to its Kimi series of open-source large language models, today. The new model is designed to strengthen performance in coding, long-horizon task…

  • [7] Kimi K2.6 Model Specs, Costs & Benchmarks (April 2026) | Galaxy.aiblog.galaxy.ai

    Galaxy.ai Logo # Kimi K2.6Model Specs, Costs & Benchmarks (April2026) Kimi K2.6, developed by MoonshotAI, features a context window of 262.1K tokens. The model costs $0.80 per million tokens for input and $3.50 per million tokens for output. It was released on April 20, 2026, and has achieved impressive scores in various benchmarks. Access Kimi K2.6 & 210+ other AI models all in one platformTry Galaxy.ai for free | Kimi K2.6Kimi K2.6 | [...] ## Capabilities & Features | Kimi K2.6Kimi K2.6 | | Input Types Supported input formats | textimage | | Output Types Supported output formats | text | |…

  • [8] Moonshot AI Releases Kimi K2.6 Open-Source Coding Model with ...mlq.ai

    Benchmark Performance On SWE-Bench Pro, Kimi K2.6 scores 58.6, surpassing GPT-5.4's 57.7 and Claude Opus 4.6's 53.4. It achieves 65.8% pass@1 on SWE-bench Verified and 47.3% on Multilingual tests. Additional results include 53.7% on LiveCodeBench v6 and 80.3% on EvalPlus.6 Output speed reaches 60-100 tokens per second with 256k context length.3 ## Technical Specifications Built as a 1 trillion parameter mixture-of-experts model with 32 billion activated parameters, trained on 15.5T tokens using the Muon optimizer. Variants include Kimi-K2-Base for fine-tuning and Kimi-K2-Instruct for chat…

  • [9] 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 | |…

  • [10] Kimi K2.6 Is the Open Model Release OpenClaw Users Were ...trilogyai.substack.com

    Kimi K2.6 Is the Open Model Release OpenClaw Users Were Waiting For Leonardo Gonzalez Apr 20, 2026 Moonshot AI’s Kimi K2.6 arrives at a convenient moment for agent builders: it is open, it is strong on coding benchmarks, and it treats multimodality as part of the main model rather than a side branch. That last point matters. Many open coding models still ask you to choose between the model that codes and the model that sees. Kimi K2.6 is a 1T-parameter mixture-of-experts model with 32B active parameters, a 262K context window in Moonshot’s published runs, and native image and video input on…

  • [11] Model Drop: Kimi K2.6 - by Jake Handyhandyai.substack.com

    Model Drop: Kimi K2.6 ### The open weight titan gets even better Jake Handy Apr 22, 2026 Model: Kimi K2.6 (kimi-k2.6) Model type: Text + vision, with native image and video input Ship date: April 20, 2026 Maker: Moonshot AI (Beijing) Pricing: $0.60 / $2.50 per million input / output tokens on the Moonshot API. $0.60 / $2.80 on OpenRouter. Free weights on Hugging Face for self-hosting. Available on: Kimi.com, the Kimi App, Kimi API, Kimi Code, Hugging Face (open weights), OpenRouter, and Vercel AI Gateway [...] Moonshot claims frontier-grade coding and agent performance at roughly 88% less…

  • [12] 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…