The LLM benchmark aggregator.

Command A

Cohere · 111B · open weights

Strongest in Tool use (#26 of 81), weakest in Fairness (#291 of 300). Above par in 8 of 24 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 5 and Claude Opus 4.8 and ahead of Mistral Small and GPT-4o 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.

Agents53.5−14.6#81/2681/5

Tool use56.3−17.7#26/811/1

Professional47.4−14.2#108/1681/1

Legal54.6−12.5#42/1511/1

Medical48.4−18.4#92/1401/1

Finance39−23.9#133/1511/1

Knowledge37.4−26.1#126/1381/2

Academic knowledge34.9−29#110/1231/1

Coding39.7−29.4#155/1651/5

Agentic coding37.5−31.2#154/1571/4

Human preference52.6−14.9#161/3421/1

Reasoning36.7−30.2#165/1781/4

Science30.8−32.7#110/1221/1

Mathematics35.9−29.8#126/1401/2

Core abilities41.9−25.5#175/2041/3

General intelligence38.3−31.8#182/2041/3

Safety46.1−15.4#273/3372/3

Factual grounding51.7−18.9#49/1011/1

Toxicity avoidance53.3−5.7#147/2721/1

Secure code49.7−16.8#158/2741/1

Jailbreak resistance51.8−13.1#162/2721/1

Harm refusal41.6−20#277/3001/2

Fairness36.9−33.1#291/3001/2

§ 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 Command A, left for the other.

Jamba 1.6 Miniwon 12 · lost 3

Command R Pluswon 12 · lost 4

Jamba 1.6 Largewon 11 · lost 4

Mistral Largewon 12 · lost 7

Gemini 1.5 Flashwon 10 · lost 6

Claude 3.5 Haikuwon 11 · lost 8

GPT-4o Miniwon 12 · lost 9

Mistral Smallwon 11 · lost 10

Gemini 1.5 Prowon 8 · lost 9

Llama 4 Scout Instructwon 10 · lost 12

GPT-4.1 Nanowon 10 · lost 13

Mistral Medium 3.5won 6 · lost 10

Grok 4.1 Fastwon 8 · lost 14

Grok 4.3won 8 · lost 14

Ling 3.0 Flashwon 6 · lost 11

GPT OSS 20Bwon 7 · lost 13

Llama 4 Maverick Instructwon 8 · lost 16

DeepSeek R1won 7 · lost 15

Gemini 3.5 Flash Litewon 5 · lost 11

GPT OSS 120Bwon 7 · lost 16

GPT-4owon 6 · lost 14

GPT-5.4 Miniwon 5 · lost 12

Gemini 3.1 Flash Litewon 5 · lost 13

GPT-5 Nanowon 6 · lost 16

Gemini 2.5 Flash Litewon 5 · lost 14

Qwen3.6 Pluswon 4 · lost 12

Grok 3won 5 · lost 15

Gemma 4 31Bwon 5 · lost 16

Grok 4 Fastwon 4 · lost 13

DeepSeek V4 Flashwon 5 · lost 17

GPT-5.4 Nanowon 4 · lost 14

DeepSeek V3won 5 · lost 18

Kimi K2.6won 5 · lost 18

GLM-4.5won 4 · lost 15

Claude Haiku 4.5won 5 · lost 19

Llama 3.3 Instruct Turbo (70B)won 3 · lost 12

Gemma 3 27B Itwon 3 · lost 12

Qwen3.5 Flashwon 3 · lost 12

Mimo V2.6 Flashwon 3 · lost 12

O3 Miniwon 4 · lost 16

MiniMax M2.7won 4 · lost 16

GLM-5.1won 4 · lost 16

Gemini 2.0 Flashwon 4 · lost 17

Mimo V2.5 Prowon 4 · lost 18

Gemini 3.6 Flashwon 4 · lost 18

Claude Sonnet 4won 4 · lost 19

Grok 4won 4 · lost 19

MiniMax M3won 4 · lost 19

Mistral Large 3won 3 · lost 15

Gemini 3.1 Prowon 3 · lost 15

O4 Miniwon 4 · lost 20

Kimi K2won 4 · lost 20

GLM-4.6won 4 · lost 20

GPT-6 Lunawon 3 · lost 16

Claude 3.7 Sonnetwon 3 · lost 17

GPT-6 Solwon 3 · lost 17

GPT-5.1won 3 · lost 18

Qwen3.7 Maxwon 3 · lost 19

Gemini 3.5 Flashwon 3 · lost 19

Qwen3 Maxwon 2 · lost 13

Gemini 3 Flashwon 2 · lost 13

GPT-4.1 Miniwon 3 · lost 20

Qwen3 235B A22B Instructwon 3 · lost 20

O3won 3 · lost 20

Inklingwon 3 · lost 20

Gemini 2.5 Prowon 3 · lost 20

Kimi K2.5won 3 · lost 20

GPT-5 Miniwon 3 · lost 21

Gemini 2.5 Flashwon 3 · lost 21

DeepSeek V3.2won 3 · lost 21

GLM-5won 2 · lost 15

Claude Opus 4.6won 2 · lost 18

Gemini 3 Prowon 2 · lost 19

Claude Opus 4won 2 · lost 20

GPT-5won 2 · lost 21

GPT-5.6 Lunawon 2 · lost 21

GPT-5.6 Terrawon 2 · lost 21

GLM-5.2won 2 · lost 21

GPT-5.6 Solwon 2 · lost 21

Claude Sonnet 4.5won 2 · lost 22

MiniMax M2.5won 1 · lost 14

GPT-6 Astrawon 1 · lost 14

Qwen3.8 27Bwon 1 · lost 16

Claude 3.5 Sonnetwon 1 · lost 17

Kimi K2 Thinkingwon 1 · lost 18

O1won 1 · lost 18

Claude Opus 4.5won 1 · lost 18

Claude Sonnet 4.6won 1 · lost 20

Grok 4.5won 1 · lost 21

GLM-5.3 Flashwon 1 · lost 21

Qwen3.8 Maxwon 1 · lost 21

Claude Opus 5won 1 · lost 21

Muse Spark 1.1won 1 · lost 21

Gemini 3.8 Flashwon 1 · lost 21

DeepSeek V4 Prowon 1 · lost 22

GPT-5.4won 1 · lost 22

GPT-5.5won 1 · lost 22

Claude Opus 4.7won 1 · lost 22

GPT-4.1won 1 · lost 23

GPT-5.2won 1 · lost 23

DeepSeek V4.1 Flashwon 0 · lost 15

Muse Spark 1.2won 0 · lost 15

GLM-5.3won 0 · lost 16

Gemini 3.7 Flashwon 0 · lost 16

Kimi K3won 0 · lost 16

Claude Fable 5.1won 0 · lost 16

Claude Fable 5won 0 · lost 16

Mimo V2.6 Prowon 0 · lost 18

Grok 4.7won 0 · lost 19

Claude Opus 5.5won 0 · lost 19

Grok 4.6won 0 · lost 22

Claude Opus 4.8won 0 · lost 22

Claude Sonnet 5won 0 · lost 23

§ 3 · Sources

Where the numbers come from

6 publications, 19 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26

LMArena Text 1354

BFCL ↗1 measureread 2026-09-26

BFCL v4 46.49%

Kagi LLM Benchmark ↗1 measureread 2026-09-26

Kagi LLM Benchmark 28.8%

Vals.ai ↗9 measuresread 2026-09-26

Vals · CaseLaw 64.52%Vals · LegalBench 79.7%Vals · CorpFin 45.96%Vals · TaxEval 61.37%Vals · MedQA 80.55%Vals · SWE-bench Verified 7.8% (Mini-SWE-agent)Vals · GPQA Diamond 48.48%Vals · MMLU Pro 69.17%Vals · AIME 13.33%

Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26

Enkrypt · Jailbreak risk 11.3%Enkrypt · Harmful content risk 51.1%Enkrypt · CBRN risk 27.3%Enkrypt · Toxicity risk 4%Enkrypt · Bias risk 98.2%Enkrypt · Insecure code risk 34.2%

Vectara Hallucination Leaderboard ↗1 measureread 2026-09-26

Vectara · Factual consistency 90.7%

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