Instruction following · Cohere

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

Command A Pro scores 89.0 on IFEval, placing it #82 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
89.0
0–100 scale
Rank
#82
of 600
Percentile
86th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
7.1
points

Score distribution

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

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Command A Pro sits at #82 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 7.1 points. The median model in this index scores 81.2, which puts Command A Pro above the midpoint.

Cohere models average 77.5 on this benchmark. Command A Pro is 11.5 points above that provider line, so it is a stronger result than the average Cohere model.

Among multimodal models, the average is 85.2. Command A Pro is 3.8 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 89.0 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 IFEval. 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
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
o3 Turbo OpenAI 200000 $16.63 83.4
o4 Vision OpenAI 200000 $17.01 84.5
Command A Pro Cohere 200000 $14.28 81.3
DeepSeek-R1 Instruct DeepSeek 1000000 $5.90 83.1
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4

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
TruthfulQA 83.3 101 83th
HellaSwag 90.1 84 86th
MMMU 77.2 111 82th
Arena Elo 1434.6 108 82th

FAQ

What score does Command A Pro get on IFEval?

Command A Pro scores 89.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Command A Pro rank on IFEval?

It ranks #82 of 600 models, in the 86th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Command A Pro good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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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