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Kimi K2.6

Moonshot · 1T · open weights

Strongest in Computer use (#7 of 37), weakest in Harm refusal (#248 of 300). Above par in 14 of 30 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of O4 Mini and GPT-5 Mini.

§ 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.

Knowledge56.6#28/138
Academic knowledge57.9#25/123
Human preference62.9#47/342
Human preference62.9#47/342
Agents56#56/268
Computer use64.7#7/37
Knowledge work52.9#64/178
Professional51.2#68/168
Finance55.2#43/151
Legal48.7#88/151
Medical48.8#90/140
Coding49.2#80/165
Code generation52.5#37/77
Agentic coding48.2#81/157
Reasoning47.5#104/178
Science59.1#31/122
Reasoning43.9#83/140
Mathematics42.8#106/140
Core abilities41.4#181/204
Instruction following43.8#39/57
Language42.1#40/57
Data analysis36#50/57
General intelligence43.1#148/204
Safety48.2#232/337
Secure code60.4#63/274
Factual grounding47.9#67/101
Fairness54.2#74/300
Toxicity avoidance52.3#175/272
Jailbreak resistance33#242/272
Harm refusal44.9#248/300

§ 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 K2.6, left for the other.

Gemini 3.5 Flash Litewon 21 · lost 1
Grok 4.3won 24 · lost 4
Ling 3.0 Flashwon 15 · lost 3
GPT-5.4 Miniwon 19 · lost 4
Mistral Large 3won 16 · lost 4
GPT-4o Miniwon 19 · lost 5
GPT-4.1 Nanowon 19 · lost 5
Grok Build 0.1won 15 · lost 4
Command Awon 18 · lost 5
Gemini 1.5 Prowon 14 · lost 4
Grok 4.1 Fastwon 17 · lost 5
Claude 3.5 Haikuwon 15 · lost 5
Mistral Smallwon 15 · lost 5
Llama 4 Scout Instructwon 17 · lost 6
Gemini 2.0 Flashwon 16 · lost 6
Qwen3.6 Pluswon 16 · lost 6
Mistral Largewon 13 · lost 5
GPT-5.4 Nanowon 17 · lost 7
DeepSeek V3won 18 · lost 8
Gemini 3.1 Flash Litewon 13 · lost 6
GPT-4.1 Miniwon 16 · lost 8
DeepSeek R1won 16 · lost 9
DeepSeek V3.2won 16 · lost 9
GPT-4owon 14 · lost 8
Grok 3won 13 · lost 8
MiniMax M2.7won 13 · lost 8
Grok 4 Fastwon 11 · lost 7
O3 Miniwon 14 · lost 9
GPT OSS 120Bwon 15 · lost 10
Claude Haiku 4.5won 15 · lost 10
GLM-4.6won 14 · lost 10
Kimi K2.5won 15 · lost 11
GPT OSS 20Bwon 12 · lost 9
Mimo V2.5 Prowon 13 · lost 10
Gemini 2.5 Flash Litewon 10 · lost 8
Claude 3.5 Sonnetwon 11 · lost 9
GPT-5 Nanowon 12 · lost 10
GLM-4.5won 10 · lost 9
Grok 4won 12 · lost 11
GPT-5 Miniwon 13 · lost 12
O4 Miniwon 13 · lost 12
GLM-5won 9 · lost 9
Claude 3.7 Sonnetwon 11 · lost 11
MiniMax M3won 14 · lost 15
Claude Sonnet 4won 13 · lost 14
GPT-5.1won 11 · lost 12
Kimi K2.7 Codewon 9 · lost 10
Claude Sonnet 4.5won 12 · lost 14
Kimi K2won 11 · lost 13
Qwen3.8 27Bwon 10 · lost 12
Gemma 4 31Bwon 10 · lost 12
GLM-5.1won 10 · lost 12
Gemini 2.5 Flashwon 11 · lost 14
Inklingwon 12 · lost 16
Gemini 2.5 Prowon 11 · lost 15
Qwen3 235B A22B Instructwon 10 · lost 14
Claude Opus 4won 10 · lost 14
DeepSeek V4 Flashwon 11 · lost 17
GPT-4.1won 9 · lost 15
O3won 9 · lost 16
Kimi K2 Thinkingwon 7 · lost 13
O1won 7 · lost 13
GLM-5.2won 9 · lost 19
GPT-5won 8 · lost 17
GPT-6 Lunawon 8 · lost 17
Claude Opus 4.5won 7 · lost 16
GPT-5.6 Lunawon 8 · lost 20
GLM-5.3 Flashwon 8 · lost 20
Qwen3.7 Maxwon 8 · lost 20
GPT-6 Solwon 7 · lost 19
Gemini 3.1 Prowon 6 · lost 18
Claude Sonnet 4.6won 7 · lost 21
Gemini 3.5 Flashwon 7 · lost 21
Gemini 3.6 Flashwon 7 · lost 21
GPT-5.2won 6 · lost 22
DeepSeek V4 Prowon 6 · lost 23
Claude Opus 4.6won 5 · lost 20
Claude Sonnet 5won 5 · lost 23
GPT-5.4won 5 · lost 24
Grok 4.7won 4 · lost 21
DeepSeek V4.1 Flashwon 3 · lost 18
Gemini 3 Prowon 3 · lost 18
Grok 4.5won 4 · lost 24
GPT-5.6 Terrawon 4 · lost 24
GLM-5.3won 3 · lost 19
Grok 4.6won 3 · lost 25
Qwen3.8 Maxwon 3 · lost 25
Mimo V2.6 Prowon 2 · lost 17
GPT-5.6 Solwon 3 · lost 26
Muse Spark 1.1won 3 · lost 26
Claude Opus 4.7won 3 · lost 26
Gemini 3.8 Flashwon 2 · lost 26
GPT-6 Astrawon 1 · lost 20
Muse Spark 1.2won 1 · lost 20
Claude Opus 4.8won 1 · lost 27
GPT-5.5won 1 · lost 28
Claude Opus 5won 1 · lost 28
Muse Spark 1.3won 0 · lost 18
Gemini 3.7 Flashwon 0 · lost 22
Kimi K3won 0 · lost 22
Claude Fable 5.1won 0 · lost 22
Claude Fable 5won 0 · lost 23
Claude Opus 5.5won 0 · lost 25

§ 3 · Sources

Where the numbers come from

8 publications, 34 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1461
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1026
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 818
LiveBench ↗8 measuresread 2026-09-26
LiveBench 70.5LiveBench · Reasoning 79.4LiveBench · Coding 78.6LiveBench · Agentic Coding 46.9LiveBench · Mathematics 84.3LiveBench · Data Analysis 65.1LiveBench · Language 75.1LiveBench · Instruction Following 64.4
OSWorld ↗1 measureread 2026-09-26
OSWorld 73.1%
Vals.ai ↗15 measuresread 2026-09-26
Vals · Legal Research Bench 15.87%Vals · CaseLaw 61.2%Vals · LegalBench 84.74%Vals · Harvey Legal Agent Benchmark 1.67%Vals · Finance Agent 44.9%Vals · CorpFin 66.74%Vals · TaxEval 74.65%Vals · MortgageTax 65.82%Vals · MedCode 40.14%Vals · MedScribe 78.15%Vals · SWE-bench Verified 76.2% (Mini-SWE-agent)Vals · Vibe Code Bench 37.89% (OpenHands)Vals · Code Migration 27.77%Vals · GPQA Diamond 89.14%Vals · MMLU Pro 87.57%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 27.1%Enkrypt · Harmful content risk 9.4%Enkrypt · CBRN risk 48.5%Enkrypt · Toxicity risk 4.7%Enkrypt · Bias risk 71.3%Enkrypt · Insecure code risk 12.4%
Vectara · Factual consistency 89.2%

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