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Kimi K2 Thinking

Moonshot · 1T · open weights

Strongest in Legal (#37 of 151), weakest in Harm refusal (#191 of 300). Above par in 14 of 20 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5 and Claude Opus 5 and ahead of GPT-6 Luna and Mimo V2.6 Flash.

§ 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.

Professional53.8#44/168
Legal55.6#37/151
Medical54.8#40/140
Finance52.3#74/151
Core abilities54#55/204
General intelligence55.7#57/204
Reasoning50.7#84/178
Mathematics55.1#47/140
Science51.7#72/122
Reasoning45.2#80/140
Knowledge49.8#87/138
Academic knowledge49.8#80/123
Coding45.2#112/165
Agentic coding44.2#109/157
Safety52.2#128/337
Fairness56.7#54/300
Secure code56.9#97/274
Toxicity avoidance54.8#114/272
Jailbreak resistance51.4#168/272
Harm refusal47.9#191/300

§ 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
Mistral Large 3won 15 · lost 0
Command Awon 18 · lost 1
Grok 3won 17 · lost 1
Mistral Smallwon 15 · lost 1
Jamba 1.6 Miniwon 14 · lost 1
Jamba 1.6 Largewon 14 · lost 1
Command R Pluswon 13 · lost 1
Grok Build 0.1won 12 · lost 1
Gemini 2.0 Flashwon 18 · lost 2
DeepSeek V3won 18 · lost 2
GPT-5.4 Nanowon 13 · lost 2
Mistral Largewon 12 · lost 2
Gemini 2.5 Flash Litewon 12 · lost 2
Llama 4 Scout Instructwon 15 · lost 3
Gemini 1.5 Prowon 13 · lost 3
Grok 4.3won 16 · lost 4
GPT-4.1 Nanowon 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
Gemma 4 31Bwon 12 · lost 4
Claude Haiku 4.5won 15 · lost 5
GPT OSS 120Bwon 15 · lost 5
GPT-4o Miniwon 14 · lost 5
GPT-5 Nanowon 13 · lost 5
Gemini 3.5 Flash Litewon 10 · lost 4
Qwen3.6 Pluswon 10 · lost 4
GLM-4.5won 12 · lost 5
Gemini 2.5 Flashwon 14 · lost 6
Nemotron 3 Ultrawon 9 · lost 4
Ling 3.0 Flashwon 11 · lost 5
Grok 4.1 Fastwon 12 · lost 6
GPT-4owon 12 · lost 6
Kimi K2.6won 13 · lost 7
GPT-4.1 Miniwon 13 · lost 7
GPT-5.4 Miniwon 9 · lost 5
MiniMax M2.5won 9 · lost 5
Mimo V2.5 Prowon 12 · lost 7
DeepSeek R1won 12 · lost 7
Kimi K2.7 Codewon 8 · lost 5
Grok 3 Miniwon 8 · lost 5
Grok 4 Fastwon 9 · lost 6
MiniMax M3won 12 · lost 8
DeepSeek V3.2won 12 · lost 8
DeepSeek V4 Flashwon 12 · lost 8
Qwen3.7 Maxwon 12 · lost 8
GPT-4 Turbowon 7 · lost 5
MiniMax M2.1won 7 · lost 5
Qwen3 235B A22B Instructwon 11 · lost 8
Gemini 3.1 Flash Litewon 8 · lost 6
Claude 3.5 Haikuwon 9 · lost 7
O3 Miniwon 10 · lost 8
GLM-5.2won 11 · lost 9
GPT-4.1won 11 · lost 9
Gemini 3.6 Flashwon 11 · lost 9
O4 Miniwon 11 · lost 9
Mimo V2.6 Flashwon 7 · lost 6
GPT-6 Lunawon 9 · lost 8
MiniMax M2.7won 8 · lost 9
Claude 3.5 Sonnetwon 8 · lost 9
Qwen3 Maxwon 6 · lost 7
GLM-5.3 Flashwon 9 · lost 11
Grok 4won 9 · lost 11
Kimi K2.5won 9 · lost 11
Claude 3.7 Sonnetwon 8 · lost 10
Claude Sonnet 4.6won 8 · lost 10
Qwen3.8 27Bwon 6 · lost 8
Grok 4.20won 6 · lost 8
Inkling Smallwon 5 · lost 7
O1 Miniwon 5 · lost 7
GPT-5.6 Lunawon 8 · lost 12
Inklingwon 8 · lost 12
Gemini 3.5 Flashwon 8 · lost 12
Claude Sonnet 4won 8 · lost 12
Gemini 3 Flashwon 5 · lost 8
GPT-6 Solwon 6 · lost 11
DeepSeek V4 Prowon 7 · lost 13
Claude Opus 4won 7 · lost 13
Qwen3.5 Flashwon 4 · lost 8
GLM-4.7won 4 · lost 8
O1won 6 · lost 12
DeepSeek V4.1 Flashwon 4 · lost 9
Gemini 2.5 Prowon 6 · lost 14
Gemini 3.8 Flashwon 6 · lost 14
GLM-5.1won 5 · lost 13
Claude Opus 4.6won 5 · lost 13
Mimo V2.6 Prowon 4 · lost 11
Gemini 3.1 Prowon 4 · lost 11
GPT-5 Miniwon 5 · lost 15
Claude Opus 4.5won 3 · lost 12
GLM-5won 3 · lost 12
Muse Spark 1.1won 4 · lost 16
Claude Sonnet 4.5won 4 · lost 16
O3won 4 · lost 16
GPT-5.4won 4 · lost 16
Qwen3.8 Maxwon 4 · lost 16
Qwen 3.5 Pluswon 2 · lost 10
GPT-6 Astrawon 2 · lost 10
Muse Spark 1.2won 2 · lost 11
Claude Sonnet 5won 3 · lost 17
GPT-5.6 Terrawon 3 · lost 17
GPT-5.6 Solwon 3 · lost 17
GLM-5.3won 2 · lost 12
Grok 4.7won 2 · lost 15
Gemini 3 Prowon 2 · lost 15
Claude Opus 5.5won 2 · lost 15
GPT-5.2won 2 · lost 18
Grok 4.5won 2 · lost 18
Grok 4.6won 2 · lost 18
Gemini 3.7 Flashwon 1 · lost 13
Kimi K3won 1 · lost 13
GPT-5.1won 1 · lost 17
Claude Opus 4.8won 1 · lost 19
Claude Opus 4.7won 1 · lost 19
GPT-5.5won 1 · lost 19
Claude Fable 5.1won 0 · lost 14
Claude Fable 5won 0 · lost 14
Claude Opus 5won 0 · lost 20
GPT-5won 0 · lost 20

§ 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 2026-09-26
Kagi LLM Benchmark 64.4%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 39.6%
Vals.ai ↗9 measuresread 2026-09-26
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 2026-09-26
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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