Multimodal · Cohere

Command A Reasoning on MMMU: score, rank and what it means

Command A Reasoning scores 78.2 on MMMU, placing it #90 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
78.2
0–100 scale
Rank
#90
of 600
Percentile
85th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
8.7
points

Score distribution

The chart shows the top 10 models on MMMU, with Command A Reasoning highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Command A Reasoning sits at #90 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 8.7 points. The median model in this index scores 70.0, which puts Command A Reasoning above the midpoint.

Cohere models average 65.1 on this benchmark. Command A Reasoning is 13.1 points above that provider line, so it is a stronger result than the average Cohere model.

Among multimodal models, the average is 74.3. Command A Reasoning is 3.9 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 78.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $13.74 per million input tokens, Command A Reasoning is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
Gemini 2.5 Pro Turbo Google DeepMind 1000000 $16.32 83.9
Kimi K2 Instruct Moonshot AI 1000000 $5.80 82.3
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2
Command A Reasoning Cohere 400000 $13.74 80.2
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6

Other benchmarks for Command A Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.2 178 70th
GPQA Diamond 76.3 112 81th
SWE-bench Verified 71.1 94 84th
HumanEval 83.6 141 77th
MATH-500 85.2 105 83th
AIME 2025 74.2 171 72th
LiveCodeBench 74.1 107 82th
IFEval 87.8 106 82th
TruthfulQA 83.4 95 84th
HellaSwag 87.6 157 74th
Arena Elo 1435.9 106 82th

FAQ

What score does Command A Reasoning get on MMMU?

Command A Reasoning scores 78.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Command A Reasoning rank on MMMU?

It ranks #90 of 600 models, in the 85th percentile. The leader is GPT-5.2 Max at 86.9.

Is Command A Reasoning good at MMMU?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the MMMU score calculated?

MMMU is a multimodal benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Command A Reasoning cost?

Command A Reasoning costs $13.74 per million input tokens and $51.49 per million output tokens.

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