Kimi K2.6 之所以突然成日出現喺 benchmark 討論，最直接原因係佢係 2026 年 4 月新推出、主打 coding 同 multi agent 能力嘅模型，而且第三方榜單同媒體都將佢描述成「逼近前沿模型」嘅 open weights 選手。[1][2][4][7] 點解忽然多人講？ Moonshot AI 近期發布咗 Kimi K2.6，媒體報道重點就係佢喺 coding 同 multi agent capabi...
Kimi K2.6 之所以突然成日出現喺 benchmark 討論，最直接原因係佢係 2026 年 4 月新推出、主打 coding 同 multi agent 能力嘅模型，而且第三方榜單同媒體都將佢描述成「逼近前沿模型」嘅 open weights 選手。[1][2][4][7] 點解忽然多人講？ Moonshot AI 近期發布咗 Kimi K2.6，媒體報道重點就係佢喺 coding 同 multi agent capabilities 上「推高界線」。[1] 有第三方指南將佢定位為直接打 agentic coding 市場，並稱佢係 1T 參數嘅 open source MoE 模型。[2] BenchLM 的摘要顯示，Ki
如果你想，我可以下一步幫你將 Kimi K2.6 同 GPT-5.4／Claude Opus 4.7 用「benchmark 類型」逐項對比，整理成一張簡表。
支持視覺效果
Kimi K2.6 Released: Benchmarks, API Pricing & How It Compares toThe image presents the release announcement of Kimi K2.5, highlighting benchmark results, API pricing, and comparison data with Claude and GPT, featuring digital illustrations of a human head with a glowing brain and a trajectory of performance metrics.China’s Moonshot AI Releases Kimi K2.6, Pushing Boundaries in Coding, Multi-Agent CapabilitiesMoonshot AI Releases Kimi K2.6 Open-Source Coding Model with Autonomous Multi-Day Task ExecutionMoonshot AI Releases Kimi K2 Thinking Open-Source AI Model BuiltThe image presents a bar chart comparing the performance scores of different tools—K, SWEB, GPQA, and AV—in the Humanity's Last Exam, with K leading at 44.9%, followed by SWEB at 41.7%, GPQA at 41.0%, and AV at 32.0%.Kimi K2 vs GPT-5 Reasoning: Benchmark Battle & Real Tests - Skywork aiA dark-themed comparative chart displays benchmarking results for Kimi K2.6, SWE-Bench Pro, AIME, GPQA, Humanity's Last Exam, and LiveCodeBench across reasoning and coding evaluations, highlighting performance scores in various categories.Kimi-k2 Benchmarks explainedA comparative bar chart displays the performance benchmarks of Kimi K2.6, SWE-Bench Pro, AIME, GPQA, and Humanity's Last Exam across two different platforms, LiveCodeBench v6 and OJBench, with Kimi K2.6 leading in both benchmarks.Kimi-k2 Benchmarks explainedA digital table displays benchmark accuracy scores for various AI models across multiple datasets, highlighting AutoLoki and Humanity’s Last Exam with notably low and high accuracy percentages respectively.New Chinese open weights models Try it here: https://www.kimi.comNew Chinese open weights models Try it here: https://www.kimi.com ...Kimi K2.6 Has Arrived: An Open-Weight Powerhouse for Agentic WorkThe image presents a comparative chart of advanced AI models, including Kimi K2.6, GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro, showcasing their performance across various benchmarks in categories like humanity's last exam, browsing, deep search, tooling, OS verification, terminal benchmarking, scientific computing, mKimi K2.6 lands at #4 on the Artificial Analysis IntelligenceThe chart displays the Artificial Analysis Intelligence Index scores for various AI models, highlighting Kimi K2.6's benchmark ranking in relation to other AI systems, and compares proprietary and open-weight models as of April 23, 2026.Kimi K2.6 Ranks 4th On Artificial Analysis Intelligence IndexThe bar chart displays the scores of various AI models evaluated on the Kimi K2.6 benchmark for artificial analysis intelligence, with the highest score achieved by Claude Opus at 57 and the lowest by Llama 4 Maverick at 18.Artificial Analysis has released a more in-depth benchmarkThe image depicts a bar chart illustrating the costs associated with running various artificial analysis models, with Kimi K2.6 and related benchmarks highlighted, showing a comparison of input, output, and reasoning costs.May be an image of battery, capacitor and text that says 'Kimi K2.6 GPT-5.4 (xhigh) K 密 82.7 Claude Opus 4.6 (max effort) 85.9 91.3 K GeminiMay be an image of battery, capacitor and text that says 'Kimi K2.6 GPT-5.4 (xhigh) K 密 82.7 Claude Opus 4.6 (max effort) 85.9 91.3 K Gemini 3.1 Pro (thinking high) 81.8 54.6 떡 K 日.日 Humanity's Last Exam (Full W/ tools 75.0 K 72.7 SE BrowseComp DeepSearchQA (f1 score) 65.4 K Toolathlon 57.7 OSWorld-Verified Verified osMay be a Twitter screenshot of screen and text that says 'README More K3s- Lightweight ල Kubernetes license scan passing Nightly Install pasMay be a Twitter screenshot of screen and text that says 'README More K3s- Lightweight ල Kubernetes license scan passing Nightly Install passing Build Status Integration Test Coverage Unit Test Coverage passing passing openssf best practices passing openssf scorecard 7.2 downloads 8.5M CLOMonitor Report Lightweight KubMay be an image of battery and text that says 'General GeneralAgents Agents K K K K Humanity's Last Exam (Full) (Full)w/tools W/ tools BrowsMay be an image of battery and text that says 'General GeneralAgents Agents K K K K Humanity's Last Exam (Full) (Full)w/tools W/ tools BrowseComp DeepSearchQA -score) Toolathlon OSWorld-Verifie Verified Visual Agents K Coding MIIIII K S K Terminal-Bench2 Bench 2 0 SWE-BenchPro Pro SWE-Multilingual (Terminus- 2) MathVisMay be an image of screen, desk, computer keyboard, office and textMulti-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 optimizationsKimi K2.6 Qwen3.5-0.8B inference optimization case showing a jump from ~15 to 193 tokens/sec, 20% faster than LM Studio
Humanity’s Last Exam (Text-only) w/ tools [3.b]. #### Humanity's Last Exam (Text-only) w/ tools [3.b]. Actually the hyperbolic normal distribution's pdf is defined as: p(y) = (1/( (2π)^{n/2} sqrt(|Σ|) )) * exp( - (1/2) d_Σ^2(μ, y) ), where d_Σ^2(μ, y) = (log_μ(y))^T Σ^{-1} (log_μ(y)). ### Full Evaluations [2] The table below shows that Kimi K2 Thinking matches or surpasses the latest open-source and frontier models across a wide range of t…
According to BenchLM.ai, Kimi 2.6 ranks #13 out of 110 models on the provisional leaderboard with an overall score of 83/100. ### How does Kimi 2.6 perform overall in AI benchmarks? Kimi 2.6 currently ranks #13 out of 110 models on BenchLM's provisional leaderboard with an overall score of 83. Kimi 2.6 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there. Kimi 2.6 ranks #6 out of 110 models in coding and programming benchmarks with an average score of 89.8. Kimi 2.6 has visible benchmark coverage i…
Kimi K2.6 Code Preview Is Here: A Deep Dive into Moonshot AI's Next-Gen Code & Agent Model. # Kimi K2.6 Code Preview Is Here: A Deep Dive into Moonshot AI's Next-Gen Code & Agent Model. On April 13, 2026, Moonshot AI confirmed via an official email that the model being used by its beta testers is Kimi K2.6 Code Preview. This marks another significant milestone for the Kimi K2 series in code generation and agent capabilities. | Kimi K2 | July 2025 | Debut trillion-parameter MoE model, open-sourced under Apache 2.0 |. | Kimi K2.6 Code Preview | April 2026 (Beta) | Further enhanced…
Kimi K2.6 is Moonshot AI's open-weight agentic model released April 20, 2026. It leads SWE-Bench Pro at 58.6% — ahead of GPT-5.4 (57.7%) and Claude Opus 4.6 (53.4%) — with API access starting at $0.60 per million input tokens on the Moonshot platform. Kimi K2.6 is Moonshot AI's open-weight multimodal agentic model, released April 20, 2026. The API is fully OpenAI-compatible — point base_url at https://api.moonshot.ai/v1 and set
model = "kimi-k2.6"
. | Benchmark | Kimi K2.6 | GPT-5.4 | Claude Opus 4.6 | Gemini 3.1 Pro |. Use Kimi K2.6 if you run agentic coding pipelines at scale, need…
Released April 20, 2026 by Moonshot AI, Kimi K2.6 is a 1-trillion-parameter open-weight model that leads SWE-Bench Pro (58.6%) ahead of GPT-5.4 (57.7%) and Claude Opus 4.6 (53.4%) — with API pricing starting at $0.60 per million input tokens, roughly 8x cheaper than Claude Opus. Kimi K2.6 is Moonshot AI's open-weight multimodal reasoning model, released on April 20, 2026. Kimi K2.6 is available through three channels: the Kimi chat app at kimi.com (free tier), the Kimi Code CLI (subscription-gated), and the Moonshot API (pay-per-token). Does not include the full coding agent capabilities — us…
Kimi K2.6: The new leading open weights model. **Moonshot’s Kimi K2.6 is the new leading open weights model. ➤ Low hallucination rate: Kimi K2.5 scores 6 on the AA-Omniscience Index, our knowledge evaluation measuring both accuracy and hallucination rate. This score is primarily driven by a comparatively low hallucination rate of 39% (reduced from Kimi K2.5’s 65%), indicating a greater capability to abstain rather than fabricate knowledge when the model is uncertain. Kimi K2.6’s low hallucination rate places it similarly to other models such as Claude Opus 4.7 (36%) and MiniMax-M2.7 (34…
Moonshot AI releases Kimi K2.6, featuring open weights, impressive coding benchmarks, and support for agentic swarms with up to 300 sub-agents. Moonshot AI has officially announced the release of Kimi K2.6, a significant update to its foundation model lineup that emphasizes long-term reasoning, coding proficiency, and agentic autonomy. With impressive scores on specialized benchmarks like SWE-bench and HLE, Moonshot AI is positioning Kimi as a primary tool for developers and researchers looking for high-performance models outside the closed-source ecosystems of OpenAI and Anthropic. Kimi…
This will create a clear and effective interaction plot, making it easy to see if the salary lines for remote, hybrid, and on-site work diverge across different experience levels. The webpage successfully demonstrates the significant interaction effect between remote work ratio and experience level on salary, with clear visual presentation and an interactive tool for personalized recommendations. Imagine using Kimi K2 to explore remote-work salaries with the Salary Data Analysis example, where 16 IPython calls generate stats, visualizations, and an interactive webpage of insights. For pre…
256K context window exceeds GPT-4o (128K) and Claude 3.5 (200K), making Kimi particularly strong for long-document analysis and research tasks. Kimi wins on: API pricing (4-17x cheaper), context window (256K vs 128K), web research (BrowseComp), Chinese language understanding, open-source availability, and cost-conscious deployment. Kimi wins on: API pricing (5-6x cheaper), context window (256K vs 200K), parallel agent coordination (Agent Swarm), open-weight model availability, and total cost of ownership. Kimi wins on: API pricing, Agent Swarm parallelism, open-source availa…
Why Organisations Must Embrace Open Source AI Models. ### Unleashing The Power Of Generative AI Agents With Open Source Software. ### Unleashing The Power Of Generative AI Agents With Open Source Software. Open Source Security For AI-Generated Code Advances As Chainguard And Cursor Secure Agentic Development. Moonshot AI’s Kimi K2.6 has become the top-ranked open-weights model, landing fourth globally and closing to within three points of the leading US frontier models, signalling a major shift in open-source AI competitiveness.. Moonshot AI has pushed open-source AI closer to the front…
Comparison between Kimi K2.6 and Grok 4.1 Fast (Reasoning) across intelligence, price, speed, context window and more. The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input and output token pricing and the number of tokens used across evaluations (excluding repeats). Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed. ### Which is the most intelligent AI model? Claude Opus 4.7 (Adaptive Reasoning, Max Effort) currently leads the Artificial Analysis Intelligenc…
Kimi K2.6 is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text, image, and video input, outputs text, and has a 256k tokens context window. Kimi K2.6 scores 54 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 28). The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input and output token pricing and the number of tokens used across evaluations (excluding repeats). Kimi K2.6 scores 54…
Kimi K2.6 Has Arrived: An Open-Weight Powerhouse for Agentic Work. Moonshot AI just dropped their latest model, Kimi K2.6, and it’s an absolute powerhouse for agentic workflows. During our early preview testing, Kimi K2.6 blew us away with its ability to handle complex, long-context tasks across massive codebases. We’re thrilled to announce that Kimi K2.6 is already live, fully integrated, and available to use in Kilo Code and KiloClaw.. K2.6 offers SOTA-level performance at a fraction of the cost. It's tremendously good at long-context tasks across the codebase, as well as the…
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. Tosea.ai sits at the orchestration layer for document-to-presentation workflows, turning PDFs, research papers, and long-form reports into decks your team can share with stakeholders — a workflow that stays the same whether the underlying agent model is K2…
Kimi K2.6 released beating closed models on multiple benchmarks with SOTA scores across HLE, DeepSearchQA and SWE-Bench Pro. It now outperforms GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro on key agentic and coding tests while scaling to 4000-plus tool calls over 12-hour runs - open-source just closed the gap on frontier capabilities. Kimi K2.6 released beating closed models on multiple benchmarks with SOTA scores across HLE, DeepSearchQA and SWE-Bench Pro. It now outperforms GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro on key agentic and coding tests while scaling to 4000-plus tool calls ove…
Moonshot AI Releases Kimi K2.6: Open-Source Model Matches Opus 4.6 on SWE-Bench and Orchestrates 300-Agent Swarms. Beijing-based Moonshot AI has released Kimi K2.6, a one-trillion-parameter open-weights model that dethrones every frontier lab on Humanity's Last Exam with tools and narrowly beats GPT-5.4 on SWE-Bench Pro. Announced on April 20, 2026, the model ships under a Modified MIT License and is immediately available on Kimi.com, the Kimi app, the official API, and the Kimi Code CLI — closing the gap between Chinese open-source models and proprietary Western systems to a matter of poin…
And it crushed Claude Opus 4.6 on SWE-Bench Pro. Kimi K2.6: 58.6 GPT-5.4 xhigh: 57.7 Gemini 3.1 Pro: 54.2 Claude Opus 4.6: 53.4 An open source Chinese model is now #1 on agentic coding. Kimi K2.6 released beating closed models on multiple benchmarks with SOTA scores across HLE, DeepSearchQA and SWE-Bench Pro. It now outperforms GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro on key agentic and coding tests while scaling to 4000-plus tool calls over 12-hour runs - open-source just closed the gap on frontier capabilities. Kimi K2.6 just dropped and it’s wild: 🤯 • Matches or beats GPT-5.4 & Claude…
Kimi K2.6 之所以突然成日出現喺 benchmark 討論，最直接原因係佢係 2026 年 4 月新推出、主打 coding 同 multi agent 能力嘅模型，而且第三方榜單同媒體都將佢描述成「逼近前沿模型」嘅 open weights 選手。[1][2][4][7] 點解忽然多人講？ Moonshot AI 近期發布咗 Kimi K2.6，媒體報道重點就係佢喺 coding 同 multi agent capabi...
Kimi K2.6 之所以突然成日出現喺 benchmark 討論，最直接原因係佢係 2026 年 4 月新推出、主打 coding 同 multi agent 能力嘅模型，而且第三方榜單同媒體都將佢描述成「逼近前沿模型」嘅 open weights 選手。[1][2][4][7] 點解忽然多人講？ Moonshot AI 近期發布咗 Kimi K2.6，媒體報道重點就係佢喺 coding 同 multi agent capabilities 上「推高界線」。[1] 有第三方指南將佢定位為直接打 agentic coding 市場，並稱佢係 1T 參數嘅 open source MoE 模型。[2] BenchLM 的摘要顯示，Ki
如果你想，我可以下一步幫你將 Kimi K2.6 同 GPT-5.4／Claude Opus 4.7 用「benchmark 類型」逐項對比，整理成一張簡表。
支持視覺效果
Kimi K2.6 Released: Benchmarks, API Pricing & How It Compares toThe image presents the release announcement of Kimi K2.5, highlighting benchmark results, API pricing, and comparison data with Claude and GPT, featuring digital illustrations of a human head with a glowing brain and a trajectory of performance metrics.China’s Moonshot AI Releases Kimi K2.6, Pushing Boundaries in Coding, Multi-Agent CapabilitiesMoonshot AI Releases Kimi K2.6 Open-Source Coding Model with Autonomous Multi-Day Task ExecutionMoonshot AI Releases Kimi K2 Thinking Open-Source AI Model BuiltThe image presents a bar chart comparing the performance scores of different tools—K, SWEB, GPQA, and AV—in the Humanity's Last Exam, with K leading at 44.9%, followed by SWEB at 41.7%, GPQA at 41.0%, and AV at 32.0%.Kimi K2 vs GPT-5 Reasoning: Benchmark Battle & Real Tests - Skywork aiA dark-themed comparative chart displays benchmarking results for Kimi K2.6, SWE-Bench Pro, AIME, GPQA, Humanity's Last Exam, and LiveCodeBench across reasoning and coding evaluations, highlighting performance scores in various categories.Kimi-k2 Benchmarks explainedA comparative bar chart displays the performance benchmarks of Kimi K2.6, SWE-Bench Pro, AIME, GPQA, and Humanity's Last Exam across two different platforms, LiveCodeBench v6 and OJBench, with Kimi K2.6 leading in both benchmarks.Kimi-k2 Benchmarks explainedA digital table displays benchmark accuracy scores for various AI models across multiple datasets, highlighting AutoLoki and Humanity’s Last Exam with notably low and high accuracy percentages respectively.New Chinese open weights models Try it here: https://www.kimi.comNew Chinese open weights models Try it here: https://www.kimi.com ...Kimi K2.6 Has Arrived: An Open-Weight Powerhouse for Agentic WorkThe image presents a comparative chart of advanced AI models, including Kimi K2.6, GPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro, showcasing their performance across various benchmarks in categories like humanity's last exam, browsing, deep search, tooling, OS verification, terminal benchmarking, scientific computing, mKimi K2.6 lands at #4 on the Artificial Analysis IntelligenceThe chart displays the Artificial Analysis Intelligence Index scores for various AI models, highlighting Kimi K2.6's benchmark ranking in relation to other AI systems, and compares proprietary and open-weight models as of April 23, 2026.Kimi K2.6 Ranks 4th On Artificial Analysis Intelligence IndexThe bar chart displays the scores of various AI models evaluated on the Kimi K2.6 benchmark for artificial analysis intelligence, with the highest score achieved by Claude Opus at 57 and the lowest by Llama 4 Maverick at 18.Artificial Analysis has released a more in-depth benchmarkThe image depicts a bar chart illustrating the costs associated with running various artificial analysis models, with Kimi K2.6 and related benchmarks highlighted, showing a comparison of input, output, and reasoning costs.May be an image of battery, capacitor and text that says 'Kimi K2.6 GPT-5.4 (xhigh) K 密 82.7 Claude Opus 4.6 (max effort) 85.9 91.3 K GeminiMay be an image of battery, capacitor and text that says 'Kimi K2.6 GPT-5.4 (xhigh) K 密 82.7 Claude Opus 4.6 (max effort) 85.9 91.3 K Gemini 3.1 Pro (thinking high) 81.8 54.6 떡 K 日.日 Humanity's Last Exam (Full W/ tools 75.0 K 72.7 SE BrowseComp DeepSearchQA (f1 score) 65.4 K Toolathlon 57.7 OSWorld-Verified Verified osMay be a Twitter screenshot of screen and text that says 'README More K3s- Lightweight ල Kubernetes license scan passing Nightly Install pasMay be a Twitter screenshot of screen and text that says 'README More K3s- Lightweight ල Kubernetes license scan passing Nightly Install passing Build Status Integration Test Coverage Unit Test Coverage passing passing openssf best practices passing openssf scorecard 7.2 downloads 8.5M CLOMonitor Report Lightweight KubMay be an image of battery and text that says 'General GeneralAgents Agents K K K K Humanity's Last Exam (Full) (Full)w/tools W/ tools BrowsMay be an image of battery and text that says 'General GeneralAgents Agents K K K K Humanity's Last Exam (Full) (Full)w/tools W/ tools BrowseComp DeepSearchQA -score) Toolathlon OSWorld-Verifie Verified Visual Agents K Coding MIIIII K S K Terminal-Bench2 Bench 2 0 SWE-BenchPro Pro SWE-Multilingual (Terminus- 2) MathVisMay be an image of screen, desk, computer keyboard, office and textMulti-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 optimizationsKimi K2.6 Qwen3.5-0.8B inference optimization case showing a jump from ~15 to 193 tokens/sec, 20% faster than LM Studio
Humanity’s Last Exam (Text-only) w/ tools [3.b]. #### Humanity's Last Exam (Text-only) w/ tools [3.b]. Actually the hyperbolic normal distribution's pdf is defined as: p(y) = (1/( (2π)^{n/2} sqrt(|Σ|) )) * exp( - (1/2) d_Σ^2(μ, y) ), where d_Σ^2(μ, y) = (log_μ(y))^T Σ^{-1} (log_μ(y)). ### Full Evaluations [2] The table below shows that Kimi K2 Thinking matches or surpasses the latest open-source and frontier models across a wide range of t…
According to BenchLM.ai, Kimi 2.6 ranks #13 out of 110 models on the provisional leaderboard with an overall score of 83/100. ### How does Kimi 2.6 perform overall in AI benchmarks? Kimi 2.6 currently ranks #13 out of 110 models on BenchLM's provisional leaderboard with an overall score of 83. Kimi 2.6 has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there. Kimi 2.6 ranks #6 out of 110 models in coding and programming benchmarks with an average score of 89.8. Kimi 2.6 has visible benchmark coverage i…
Kimi K2.6 Code Preview Is Here: A Deep Dive into Moonshot AI's Next-Gen Code & Agent Model. # Kimi K2.6 Code Preview Is Here: A Deep Dive into Moonshot AI's Next-Gen Code & Agent Model. On April 13, 2026, Moonshot AI confirmed via an official email that the model being used by its beta testers is Kimi K2.6 Code Preview. This marks another significant milestone for the Kimi K2 series in code generation and agent capabilities. | Kimi K2 | July 2025 | Debut trillion-parameter MoE model, open-sourced under Apache 2.0 |. | Kimi K2.6 Code Preview | April 2026 (Beta) | Further enhanced…
Kimi K2.6 is Moonshot AI's open-weight agentic model released April 20, 2026. It leads SWE-Bench Pro at 58.6% — ahead of GPT-5.4 (57.7%) and Claude Opus 4.6 (53.4%) — with API access starting at $0.60 per million input tokens on the Moonshot platform. Kimi K2.6 is Moonshot AI's open-weight multimodal agentic model, released April 20, 2026. The API is fully OpenAI-compatible — point base_url at https://api.moonshot.ai/v1 and set
model = "kimi-k2.6"
. | Benchmark | Kimi K2.6 | GPT-5.4 | Claude Opus 4.6 | Gemini 3.1 Pro |. Use Kimi K2.6 if you run agentic coding pipelines at scale, need…
Released April 20, 2026 by Moonshot AI, Kimi K2.6 is a 1-trillion-parameter open-weight model that leads SWE-Bench Pro (58.6%) ahead of GPT-5.4 (57.7%) and Claude Opus 4.6 (53.4%) — with API pricing starting at $0.60 per million input tokens, roughly 8x cheaper than Claude Opus. Kimi K2.6 is Moonshot AI's open-weight multimodal reasoning model, released on April 20, 2026. Kimi K2.6 is available through three channels: the Kimi chat app at kimi.com (free tier), the Kimi Code CLI (subscription-gated), and the Moonshot API (pay-per-token). Does not include the full coding agent capabilities — us…
Kimi K2.6: The new leading open weights model. **Moonshot’s Kimi K2.6 is the new leading open weights model. ➤ Low hallucination rate: Kimi K2.5 scores 6 on the AA-Omniscience Index, our knowledge evaluation measuring both accuracy and hallucination rate. This score is primarily driven by a comparatively low hallucination rate of 39% (reduced from Kimi K2.5’s 65%), indicating a greater capability to abstain rather than fabricate knowledge when the model is uncertain. Kimi K2.6’s low hallucination rate places it similarly to other models such as Claude Opus 4.7 (36%) and MiniMax-M2.7 (34…
Moonshot AI releases Kimi K2.6, featuring open weights, impressive coding benchmarks, and support for agentic swarms with up to 300 sub-agents. Moonshot AI has officially announced the release of Kimi K2.6, a significant update to its foundation model lineup that emphasizes long-term reasoning, coding proficiency, and agentic autonomy. With impressive scores on specialized benchmarks like SWE-bench and HLE, Moonshot AI is positioning Kimi as a primary tool for developers and researchers looking for high-performance models outside the closed-source ecosystems of OpenAI and Anthropic. Kimi…
This will create a clear and effective interaction plot, making it easy to see if the salary lines for remote, hybrid, and on-site work diverge across different experience levels. The webpage successfully demonstrates the significant interaction effect between remote work ratio and experience level on salary, with clear visual presentation and an interactive tool for personalized recommendations. Imagine using Kimi K2 to explore remote-work salaries with the Salary Data Analysis example, where 16 IPython calls generate stats, visualizations, and an interactive webpage of insights. For pre…
256K context window exceeds GPT-4o (128K) and Claude 3.5 (200K), making Kimi particularly strong for long-document analysis and research tasks. Kimi wins on: API pricing (4-17x cheaper), context window (256K vs 128K), web research (BrowseComp), Chinese language understanding, open-source availability, and cost-conscious deployment. Kimi wins on: API pricing (5-6x cheaper), context window (256K vs 200K), parallel agent coordination (Agent Swarm), open-weight model availability, and total cost of ownership. Kimi wins on: API pricing, Agent Swarm parallelism, open-source availa…
Why Organisations Must Embrace Open Source AI Models. ### Unleashing The Power Of Generative AI Agents With Open Source Software. ### Unleashing The Power Of Generative AI Agents With Open Source Software. Open Source Security For AI-Generated Code Advances As Chainguard And Cursor Secure Agentic Development. Moonshot AI’s Kimi K2.6 has become the top-ranked open-weights model, landing fourth globally and closing to within three points of the leading US frontier models, signalling a major shift in open-source AI competitiveness.. Moonshot AI has pushed open-source AI closer to the front…
Comparison between Kimi K2.6 and Grok 4.1 Fast (Reasoning) across intelligence, price, speed, context window and more. The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input and output token pricing and the number of tokens used across evaluations (excluding repeats). Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed. ### Which is the most intelligent AI model? Claude Opus 4.7 (Adaptive Reasoning, Max Effort) currently leads the Artificial Analysis Intelligenc…
Kimi K2.6 is amongst the leading models in intelligence and well priced when comparing to other open weight models of similar size. The model supports text, image, and video input, outputs text, and has a 256k tokens context window. Kimi K2.6 scores 54 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 28). The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input and output token pricing and the number of tokens used across evaluations (excluding repeats). Kimi K2.6 scores 54…
Kimi K2.6 Has Arrived: An Open-Weight Powerhouse for Agentic Work. Moonshot AI just dropped their latest model, Kimi K2.6, and it’s an absolute powerhouse for agentic workflows. During our early preview testing, Kimi K2.6 blew us away with its ability to handle complex, long-context tasks across massive codebases. We’re thrilled to announce that Kimi K2.6 is already live, fully integrated, and available to use in Kilo Code and KiloClaw.. K2.6 offers SOTA-level performance at a fraction of the cost. It's tremendously good at long-context tasks across the codebase, as well as the…
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. Tosea.ai sits at the orchestration layer for document-to-presentation workflows, turning PDFs, research papers, and long-form reports into decks your team can share with stakeholders — a workflow that stays the same whether the underlying agent model is K2…
Kimi K2.6 released beating closed models on multiple benchmarks with SOTA scores across HLE, DeepSearchQA and SWE-Bench Pro. It now outperforms GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro on key agentic and coding tests while scaling to 4000-plus tool calls over 12-hour runs - open-source just closed the gap on frontier capabilities. Kimi K2.6 released beating closed models on multiple benchmarks with SOTA scores across HLE, DeepSearchQA and SWE-Bench Pro. It now outperforms GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro on key agentic and coding tests while scaling to 4000-plus tool calls ove…
Moonshot AI Releases Kimi K2.6: Open-Source Model Matches Opus 4.6 on SWE-Bench and Orchestrates 300-Agent Swarms. Beijing-based Moonshot AI has released Kimi K2.6, a one-trillion-parameter open-weights model that dethrones every frontier lab on Humanity's Last Exam with tools and narrowly beats GPT-5.4 on SWE-Bench Pro. Announced on April 20, 2026, the model ships under a Modified MIT License and is immediately available on Kimi.com, the Kimi app, the official API, and the Kimi Code CLI — closing the gap between Chinese open-source models and proprietary Western systems to a matter of poin…
And it crushed Claude Opus 4.6 on SWE-Bench Pro. Kimi K2.6: 58.6 GPT-5.4 xhigh: 57.7 Gemini 3.1 Pro: 54.2 Claude Opus 4.6: 53.4 An open source Chinese model is now #1 on agentic coding. Kimi K2.6 released beating closed models on multiple benchmarks with SOTA scores across HLE, DeepSearchQA and SWE-Bench Pro. It now outperforms GPT-5.4, Claude Opus 4.6 and Gemini 3.1 Pro on key agentic and coding tests while scaling to 4000-plus tool calls over 12-hour runs - open-source just closed the gap on frontier capabilities. Kimi K2.6 just dropped and it’s wild: 🤯 • Matches or beats GPT-5.4 & Claude…
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. Kimi K2.6Qwen3.6 PlusGemini 3 FlashClaude Opus 4.6[Muse Spark](https:…