Preference · Cohere

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

Command A Pro scores 1434.6 on Arena Elo, placing it #108 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
1434.6
0–100 scale
Rank
#108
of 600
Percentile
82th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
67.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Command A Pro 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 Pro sits at #108 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 67.3 points. The median model in this index scores 1373.8, which puts Command A Pro above the midpoint.

Cohere models average 1339.8 on this benchmark. Command A Pro is 94.8 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 Pro is 25.0 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 1434.6 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 Pro 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
o3 Vision OpenAI 1000000 $15.24 81.8
Claude Haiku 4.5 Pro Anthropic 1000000 $15.07 80.8
Command A Reasoning Cohere 400000 $13.74 80.2
Sonar Pro Turbo Perplexity 128000 $13.55 79.0
Command A Pro Cohere 200000 $14.28 81.3
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0
Command A Turbo Cohere 32768 $13.53 79.8

Other benchmarks for Command A Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.3 138 77th
GPQA Diamond 79.1 70 88th
SWE-bench Verified 71.2 90 85th
HumanEval 87.5 78 87th
MATH-500 83.1 144 76th
AIME 2025 78.2 112 81th
LiveCodeBench 74.0 109 82th
IFEval 89.0 82 86th
TruthfulQA 83.3 101 83th
HellaSwag 90.1 84 86th
MMMU 77.2 111 82th

FAQ

What score does Command A Pro get on Arena Elo?

Command A Pro scores 1434.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Command A Pro rank on Arena Elo?

It ranks #108 of 600 models, in the 82nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Command A Pro 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 Pro cost?

Command A Pro costs $14.28 per million input tokens and $68.05 per million output tokens.

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