Kimi K3 is an AI model released by Moonshot AI on Thursday, Jul 16 2026, 34 days after Kimi K2.7 Code. It is an open-weight model — the trained weights are available to download and run. It is a 2.8T parameter model with a 1M token context window. Benchmark results (shown below) cover DeepSWE 1.0, Terminal-Bench 2.1, MCP Atlas, JobBench, Toolathlon-Verified, BrowseComp, and 5 more.
Benchmarks
Agentic coding
DeepSWE 1.0Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. Higher is better.
67.5%
Agentic terminal coding
Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better.
88.3%
Multi-step tool use
MCP AtlasCan the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better.
84.2%
Professional tool use
JobBenchTests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better.
52.9%
Personal tool use
Toolathlon-VerifiedTests how well the AI uses everyday personal tools and apps to get things done — a human-checked version of Toolathlon. Higher is better.
73.2%
Web browsing
BrowseCompCan the AI browse the web and track down hard-to-find answers? Higher is better.
91.2%
Multidisciplinary reasoning
Humanity's Last ExamHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better.
43.5%
no tools
56%
with tools
Science
GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better.
93.5%+3%vs Kimi K2.6
Knowledge work
GDPval-AA v2economically valuable knowledge work (v2, re-based Elo)
1668
Chart reasoning
CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better.
84.8%
Multimodal reasoning
MMMU-ProA tougher version of MMMU — college-level questions that mix images, diagrams, and text together. Higher is better.
81.6%
About Kimi K3
Kimi K3, released July 16, 2026, was Moonshot AI's biggest swing yet: a 2.8-trillion-parameter mixture-of-experts model — billed as the world's first open 3T-class release — activating 16 of 896 experts per token, with a 1M-token context window and native vision built on the lab's Kimi Delta Attention architecture. At launch it scored 93.5% on GPQA Diamond, the strongest open-weight result on that benchmark published at the time, alongside 88.3% on Terminal-Bench 2.1.
Agentic work was the headline: 91.2% on BrowseComp — the best published score on this tracker at release — plus 56.0% on Humanity's Last Exam with tools and 84.2% on MCP Atlas. Moonshot's own framing placed K3 just behind Claude Fable 5 and GPT-5.6 Sol overall while undercutting both sharply on price, and the lab promised full open weights within days of the API launch — the same open-frontier playbook that began with K2 a year earlier, now at nearly triple the scale.