Instruction following · Cohere

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

Command A scores 87.4 on IFEval, placing it #120 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
87.4
0–100 scale
Rank
#120
of 600
Percentile
80th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
8.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Command A 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 sits at #120 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 8.7 points. The median model in this index scores 81.2, which puts Command A above the midpoint.

Cohere models average 77.5 on this benchmark. Command A is 9.9 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 is 2.2 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 87.4 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 $13.30 per million input tokens, Command A 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
Kimi K2 Instruct Moonshot AI 1000000 $5.80 82.3
Llama 4 Maverick Meta AI 200000 $5.36 81.6
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Claude 3.7 Sonnet Turbo Anthropic 200000 $15.56 82.3
Command A Cohere 200000 $13.30 79.6
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Llama 4 Maverick Base Meta AI 128000 $4.68 79.1

Other benchmarks for Command A

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.3 173 71th
GPQA Diamond 74.2 161 73th
SWE-bench Verified 70.6 99 84th
HumanEval 83.1 159 74th
MATH-500 84.2 120 80th
AIME 2025 77.9 116 81th
LiveCodeBench 71.8 150 75th
TruthfulQA 81.2 147 76th
HellaSwag 88.3 130 78th
MMMU 76.4 127 79th
Arena Elo 1419.7 152 75th

FAQ

What score does Command A get on IFEval?

Command A scores 87.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Command A rank on IFEval?

It ranks #120 of 600 models, in the 80th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Command A 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 cost?

Command A costs $13.30 per million input tokens and $67.41 per million output tokens.

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