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Kimi K2 Thinking

Moonshot · 1T · open weights

Strongest in Legal (#43 of 173), weakest in Harm refusal (#185 of 292). Above par in 14 of 20 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5 and Claude Fable 5 and ahead of O4 Mini and GPT-4.1.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Professional53.7#50/194
Legal55.6#43/173
Medical54.8#43/149
Finance52.3#82/162
Core abilities54#58/199
General intelligence55.7#47/178
Reasoning50.4#95/195
Mathematics55.1#53/152
Science51.7#72/122
Reasoning44.5#92/147
Knowledge49.9#115/197
Academic knowledge49.8#80/123
Safety52.2#125/329
Fairness56.7#53/292
Secure code56.6#99/270
Toxicity avoidance54.8#110/268
Jailbreak resistance51.4#164/268
Harm refusal48#185/292
Coding45.2#126/179
Agentic coding44.8#122/173

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for Kimi K2 Thinking, left for the other.

Mistral Medium 3.5won 13 · lost 0
Magistral Small 1.2won 15 · lost 0
Mistral Large 3won 15 · lost 0
Command Awon 18 · lost 1
Jamba 1.6 Miniwon 14 · lost 1
Jamba 1.6 Largewon 14 · lost 1
Command R+won 13 · lost 1
DeepSeek V3.1won 12 · lost 1
DeepSeek V3won 18 · lost 2
Gemini 2.5 Flash-Litewon 12 · lost 2
Grok 3won 17 · lost 3
Llama 4 Scout Instructwon 15 · lost 3
Gemini 1.5 Prowon 13 · lost 3
Gemma 4 31Bwon 13 · lost 3
Llama 3.3 70B Instructwon 12 · lost 3
GPT-5.4 nanowon 12 · lost 3
GPT-4.1 nanowon 16 · lost 4
Gemini 2.0 Flashwon 16 · lost 4
Kimi K2won 16 · lost 4
GLM-4.6won 15 · lost 4
Gemini 1.5 Flashwon 11 · lost 3
GPT OSS 20Bwon 13 · lost 4
MiMo V2.6 Flashwon 12 · lost 4
GPT OSS 120Bwon 15 · lost 5
GPT-4o miniwon 14 · lost 5
Claude Haiku 4.5won 13 · lost 5
GPT-5 nanowon 13 · lost 5
Gemini 3.5 Flash-Litewon 10 · lost 4
GLM-4.5won 12 · lost 5
Gemini 2.5 Flashwon 14 · lost 6
Ling 3.0 Flashwon 11 · lost 5
Mistral Large 4won 11 · lost 5
MiniMax M2.5won 10 · lost 5
Grok 4.1 Fastwon 12 · lost 6
GPT-4owon 12 · lost 6
Grok 4.3won 12 · lost 6
GPT-4.1 miniwon 13 · lost 7
Qwen3 235B A22B Instructwon 13 · lost 7
GPT-5.4 miniwon 9 · lost 5
Gemini 3.1 Flash-Litewon 9 · lost 5
DeepSeek R1won 12 · lost 7
MiniMax M2.1won 8 · lost 5
Kimi K2.6won 11 · lost 7
Grok 4 Fastwon 9 · lost 6
DeepSeek V4 Flashwon 12 · lost 8
DeepSeek V3.2won 12 · lost 8
MiMo V2.5 Prowon 10 · lost 7
GPT-4 Turbowon 7 · lost 5
Qwen3.6 Pluswon 7 · lost 5
Qwen3.7 Maxwon 11 · lost 8
Claude 3.5 Haikuwon 9 · lost 7
O3 Miniwon 10 · lost 8
GPT-6 Lunawon 10 · lost 8
GPT-4.1won 11 · lost 9
O4 Miniwon 11 · lost 9
Inkling Smallwon 7 · lost 7
Qwen3.8 27Bwon 7 · lost 7
Claude 3.7 Sonnetwon 9 · lost 9
MiniMax M3won 10 · lost 10
Inklingwon 10 · lost 10
GLM-5.3 Flashwon 10 · lost 10
GLM-5.2won 10 · lost 10
DeepSeek V4 Prowon 10 · lost 10
Gemini 3.6 Flashwon 9 · lost 10
MiniMax M2.7won 8 · lost 9
Claude 3.5 Sonnetwon 8 · lost 9
MiMo V2.6 Prowon 8 · lost 9
Grok 3 Miniwon 8 · lost 9
Qwen3 Maxwon 6 · lost 7
Grok 4won 9 · lost 11
Kimi K2.5won 9 · lost 11
Grok 4.20won 6 · lost 8
O1 Miniwon 5 · lost 7
GPT-6 Solwon 7 · lost 10
GPT-5.6 Lunawon 8 · lost 12
Gemini 3.8 Flashwon 8 · lost 12
Claude Sonnet 4won 8 · lost 12
Gemini 3 Flashwon 5 · lost 8
GLM-4.7won 5 · lost 8
Claude Sonnet 4.6won 6 · lost 11
Claude Opus 4won 7 · lost 13
Qwen 3.5 Pluswon 4 · lost 8
Qwen3.5 Flashwon 4 · lost 8
GLM-5.1won 6 · lost 12
O1won 6 · lost 12
Gemini 3.5 Flashwon 6 · lost 13
DeepSeek V4.1 Flashwon 4 · lost 9
Qwen3.8 Maxwon 6 · lost 14
GPT-5 miniwon 6 · lost 14
Gemini 2.5 Prowon 6 · lost 14
Claude Opus 4.5won 4 · lost 11
Claude Haiku 5.5won 3 · lost 9
O3won 5 · lost 15
Gemini 3.7 Flashwon 3 · lost 10
Muse Spark 1.1won 4 · lost 14
Claude Opus 4.6won 4 · lost 14
GLM-5.3won 3 · lost 11
Gemini 3.1 Prowon 3 · lost 11
GLM-5won 3 · lost 12
GPT-5.6 Terrawon 4 · lost 16
Claude Sonnet 4.5won 4 · lost 16
Grok 4.6won 4 · lost 16
Grok 4.5won 4 · lost 16
Grok 4.7won 3 · lost 14
GPT-6 Astrawon 2 · lost 11
GPT-5.4won 3 · lost 17
GPT-5.6 Solwon 3 · lost 17
Kimi K3won 2 · lost 12
Gemini 3 Prowon 2 · lost 15
Claude Opus 5.5won 2 · lost 16
Claude Sonnet 5won 2 · lost 17
GPT-5.2won 2 · lost 18
Muse Spark 1.2won 1 · lost 11
Claude Sonnet 5.5won 1 · lost 11
Gemini 4 Argonwon 1 · lost 11
GPT-6.1 Solwon 1 · lost 11
GPT-5.1won 1 · lost 17
Claude Opus 5won 1 · lost 18
Claude Opus 4.7won 1 · lost 19
Claude Opus 4.8won 1 · lost 19
GPT-5.5won 1 · lost 19
Claude Fable 5.1won 0 · lost 14
Claude Fable 5won 0 · lost 14
GPT-5won 0 · lost 19

§ 3 · Sources

Where the numbers come from

4 publications, 17 figures. Every one links to the page it was read from.

Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 64.4%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 39.6%
Vals.ai ↗9 measuresread 2026-11-10
Vals · CaseLaw 65.7%Vals · LegalBench 80.2%Vals · CorpFin 60.57%Vals · TaxEval 71.71%Vals · MedQA 92.59%Vals · SWE-bench Verified 60.2% (Mini-SWE-agent)Vals · GPQA Diamond 78.54%Vals · MMLU Pro 81.07%Vals · AIME 85.42%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 11.6%Enkrypt · Harmful content risk 26.1%Enkrypt · CBRN risk 24.3%Enkrypt · Toxicity risk 2.9%Enkrypt · Bias risk 67.4%Enkrypt · Insecure code risk 19.6%

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