Kimi K3
Moonshot AI's open-weight model with 2.8 trillion parameters, a 1M-token context window and native image and video understanding. It is the highest-ranked open-weight model in this list on the LMArena text and Code Arena leaderboards.
Moonshot AILanguage modelReleased July 2026Data checked October 18, 2026
Where people rank it
#10
Coding and building apps, 19,220 votes
From blind votes on LMArena, where people pick the better of two anonymous answers. See the full tables on the AI leaderboard.
On paper
Fixed-test rankings from the benchmarks tab: Value #8, Reasoning #11, Speed #20.
Strengths and weaknesses
- Top open-weight model on the LMArena text and Code Arena leaderboards
- Best long-context reasoning score in this list (88.7% on AA-LCR)
- Open weights on Hugging Face plus a first-party API ($3 / $15 per million tokens)
- Slow output on Artificial Analysis (42 tokens per second)
- Weak on terminal-based agent tasks (12.6% on Terminal-Bench 4.0 as run by Artificial Analysis)
Best for
- The strongest open model for chat and coding
- Long documents
- Creative writing with an open model
Every score we have
Each bar compares this model with the best result any model on this page has on the same test.
- LMArena text arena (human votes)1,487.1Arena score 1487.1 (95% CI 1482.5 to 1491.7); 32,795 votes; entry "Kimi K3 (Max)"; position 18 of 416 on the full board
- LMArena creative writing1,461.3Arena score 1461.3 (95% CI 1453.1 to 1469.5); 6,646 votes; entry "Kimi K3 (Max)"; position 27 of 414 on the full board
- LMArena WebDev (coding)1,655.2Arena score 1655.2 (95% CI 1649.2 to 1661.2); 19,220 votes; entry "Kimi K3 (Max)"; position 14 of 144 on the full board
- LMArena Agent Arena0.019IPS score 0.0193 (95% CI 0.0120 to 0.0267); 135,415 sessions; entry "Kimi K3 (Max)"; position 23 of 52 on the full board
- Artificial Analysis Intelligence Index43.643.6 on the Artificial Analysis Intelligence Index v4.3.2 (AA shows 44), setting "Kimi K3 (max)"
- Humanity's Last Exam (Artificial Analysis)46.9%46.9% on Humanity's Last Exam (AA, 2,158 text-only questions), setting "Kimi K3 (max)"
- GPQA Diamond, graduate-level science93.5%93.5% on GPQA Diamond (AA; no longer part of the AA index since v4.2), setting "Kimi K3 (max)"
- Terminal-Bench 4.0 (Artificial Analysis run)12.6%12.6% on Terminal-Bench 4.0 as run by AA (mini-swe-agent harness), setting "Kimi K3 (max)"
- Long-context reasoning (AA-LCR)88.7%88.7% on AA-LCR (long-context reasoning), setting "Kimi K3 (max)"
- MMMU-Pro, image understanding80.5%80.5% on MMMU-Pro (image understanding, AA), setting "Kimi K3 (max)"
- AA-Omniscience, accuracy minus hallucination19.719.7 on the AA-Omniscience Index (knowledge accuracy minus hallucination, range -100 to 100), setting "Kimi K3 (max)"
- Output speed, tokens per second42 t/s42 output tokens per second (AA median), row "Kimi K3 (max)"
- Cost per Artificial Analysis test task$2.00$2.00 to run one AA Intelligence Index task, row "Kimi K3 (max)"
- Artificial Analysis Coding Agent Index51.951.9 on the AA Coding Agent Index v1.5 (DeepSWE v1.1, Terminal-Bench 4.0, SWE-Atlas-QnA), best listed setup "Kimi Code CLI - Kimi K3"
- ARC-AGI-2 puzzles60.4%60.42% on ARC-AGI-2 (semi-private set), best listed setting "Kimi K3 (Max)", $1.59 per task
Compare with
- Claude Opus 5.5Anthropic's flagship for long-running agentic coding and knowledge work, and the model Anthropic suggests starting with for most jobs.
- Claude Sonnet 5.5Anthropic's mid-priced model, which Anthropic describes as its best mix of speed and intelligence.
- Claude Fable 5.1Anthropic's top tier for the hardest reasoning and long-horizon agent work, which Anthropic recommends when Opus 5.5 still falls short.
- GPT-6 AstraOpenAI's most capable model, aimed at complex reasoning, coding, research and document creation.