Preference · Cohere

Command A Max on Arena Elo: score, rank and what it means

Command A Max scores 1443.7 on Arena Elo, placing it #91 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1443.7
0–100 scale
Rank
#91
of 600
Percentile
85th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
58.2
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Command A Max sits at #91 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 58.2 points. The median model in this index scores 1373.8, which puts Command A Max above the midpoint.

Cohere models average 1339.8 on this benchmark. Command A Max is 103.9 points above that provider line, so it is a stronger result than the average Cohere model.

Among multimodal models, the average is 1409.6. Command A Max is 34.1 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 1443.7 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4
Command A Max Cohere 400000 $14.28 79.9
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2

Other benchmarks for Command A Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.3 73 88th
GPQA Diamond 74.5 153 75th
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

FAQ

What score does Command A Max get on Arena Elo?

Command A Max scores 1443.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Command A Max rank on Arena Elo?

It ranks #91 of 600 models, in the 85th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Command A Max good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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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