Reasoning · Cohere

Command A Max on GPQA Diamond: score, rank and what it means

Command A Max scores 74.5 on GPQA Diamond, placing it #153 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
74.5
0–100 scale
Rank
#153
of 600
Percentile
75th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
12.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Command A Max highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Command A Max sits at #153 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 12.5 points. The median model in this index scores 68.8, which puts Command A Max above the midpoint.

Cohere models average 63.7 on this benchmark. Command A Max is 10.8 points above that provider line, so it is a stronger result than the average Cohere model.

Among multimodal models, the average is 73.5. Command A Max is 1.0 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 74.5 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 $14.28 per million input tokens, Command A Max is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. 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
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4
ERNIE 4.0 Baidu 32768 $11.37 76.7
Sonar Reasoning Perplexity 200000 $11.48 76.2
Command A Max Cohere 400000 $14.28 79.9
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
Kimi K1.5 Moonshot AI 128000 $5.19 80.7

Other benchmarks for Command A Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.3 73 88th
SWE-bench Verified 69.7 116 81th
HumanEval 83.4 147 76th
MATH-500 85.7 97 84th
AIME 2025 77.2 126 79th
LiveCodeBench 73.1 124 79th
IFEval 86.7 140 77th
TruthfulQA 82.2 125 79th
HellaSwag 87.1 171 72th
MMMU 74.6 166 72th
Arena Elo 1443.7 91 85th

FAQ

What score does Command A Max get on GPQA Diamond?

Command A Max scores 74.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Command A Max rank on GPQA Diamond?

It ranks #153 of 600 models, in the 75th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Command A Max good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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 Max cost?

Command A Max costs $14.28 per million input tokens and $70.22 per million output tokens.

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