Kimi K3
Released 16 Jul 2026$3 input, $15 output per million tokens1M context2.8T total / 104B activeKimi K3 License (open weights)
5 results on 5 of 13 boards, latest measured Sep 2026. Compare with other models
Clinical Benchmarks Index50.2Rank 16 of 1494 of 10 boardsAverage × multiplier 61.5 × 0.816 = 50.2This site’s own calculation. Working How it is computed
Results
Each line sits on its own board's scale. Tall tick: the board leader.
Clinical reasoning and knowledge
- 60.1Rank 2 of 8 here, 11 models on the boardLeader GPT-5.6 Sol 60.2
Documentation and coding
- 87.96Rank 13 of 105Leader Claude Opus 5.5 91.43
- MedCode (Vals AI)model ID kimi/kimi-k3; temperature=1; max_output_tokens=3000048.88Rank 24 of 103Leader Claude Opus 5 63.57
EHR and workflow agents
- CHI-BenchListed as openai-agents + kimi-k325.3Rank 7 of 43 here, 45 models on the boardLeader erius + claude-opus-5 54.7
Safety
- 74.0Rank 7 of 17 here, 19 models on the boardLeader LiSA 2.5 86.2
Index working
The Clinical Benchmarks Index is this site's own calculation: a weighted average of the board scores times a multiplier for the boards behind it. How it is computed
- MedScribe (Vals AI)87.9688.0×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25
- MedCode (Vals AI)48.8848.9×0.911model ID kimi/kimi-k3; temperature=1; max_output_tokens=30000
- MAST (Medical AI Superintelligence Test)60.160.1×0.995
- First, Do NOHARM (v2)74.074.0×0.507
- Weighted average of 4 boards
- 61.5
- Multiplier for 4 of 10 boards
- × 0.816
- Index
- 61.5 × 0.816 = 50.2
Score: the result on the board’s own 0 to 100 scale. Dot: this model; tick: the board’s leader. Weight: how much the board counts in the weighted average; bold where the board is near its ceiling and counts for less. Each result links to its quote and page; the line under it is the setting it was measured with.
Sources
The quote, page and document for each of the 5 results
13MedScribe (Vals AI) 87.96
Printed as 87.96%Official leaderboard, measured Sep 2026Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 13 of 105 (Kimi K3), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["kimi/kimi-k3"].13 | Kimi K3 | 87.96%±1.89 | $3/$15 | 2m17s
Every result from this document24MedCode (Vals AI) kimi-k3 48.88
Printed as 48.88%Official leaderboard, measured Sep 2026Configuration: model ID kimi/kimi-k3; temperature=1; max_output_tokens=30000Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 24 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["kimi/kimi-k3"].24 | Kimi K3 | 48.88%±2.19 | $3/$15 | 116.18s
Every result from this document2MAST (Medical AI Superintelligence Test) 60.1
Printed as 60.1%Official leaderboard, measured Aug 2026MAST: Medical AI Superintelligence Test leaderboard (General board) official leaderboard, ARISE AI Research Network, 15 Aug 2026. arise-ai.org/mast, 'Which AI can you trust for medical questions?' General tab, composite score table (8 of 11 models shown; 'Last updated August 15, 2026')2 Kimi K3 Moonshot AI 60.1%
Every result from this document7First, Do NOHARM (v2) 74.0
Printed as 74.0%Official leaderboard, measured Aug 2026MAST technical leaderboard (First Do NOHARM v2 and per-benchmark results) official leaderboard, ARISE AI Research Network, 15 Aug 2026. arise-ai.org/mast/technical, 'First Do NOHARM v2 overall metric across 19 models' ranking (Latest Flagships view), plus Model Leaderboard SAFETY column7Kimi K3OSSMoonshot AI 74.0%
Every result from this document7CHI-Bench 25.3
Printed as 25.3%Official leaderboard, measured Jul 2026CHI-Bench leaderboard (actAVA) official leaderboard, actAVA, 12 Aug 2026. CHI-Bench v1.0.0, All Domains, rank 08, Agent/Model and Accuracy columns; PA/UM/CM follow; board last updated 2026-08-12; board Date column 2026-07-24; accessed 2026-09-30. Linked submission provenance: run 2026-07-22T08:03:23.788878Z to 2026-07-22T14:22:38.269923Z; submitted_at 2026-08-12T20:20:00Z.08 | openai-agents | kimi-k3 | Open-source | 25.3% | 28.0% | 32.0% | 16.0% | 2026-07-24
Every result from this document- Also printed in CHI-Bench submission manifest: openai-agents + moonshotai/kimi-k3, submission.model; provenance.started_at / finished_at; results.overall.pass_at_1; retrieved 2026-09-30