Instruction following · Cohere

Command R+ on IFEval: score, rank and what it means

Command R+ scores 85.0 on IFEval, placing it #190 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
85.0
0–100 scale
Rank
#190
of 600
Percentile
68th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
11.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Command R+ 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 R+ sits at #190 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 11.1 points. The median model in this index scores 81.2, which puts Command R+ above the midpoint.

Cohere models average 77.5 on this benchmark. Command R+ is 7.5 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 R+ is 0.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 85.0 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 $3.96 per million input tokens, Command R+ is below 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
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
Sonar Max Perplexity 32768 $11.60 77.8
Sonar Reasoning Perplexity 200000 $11.48 76.2
Command R+ Cohere 32768 $3.96 76.3
Llama 3.3 Chat Meta AI 32768 $4.18 76.9
Llama 3.3 Groq Groq 32768 $3.98 76.8

Other benchmarks for Command R+

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.9 210 65th
GPQA Diamond 70.5 249 59th
SWE-bench Verified 63.9 233 61th
HumanEval 79.4 250 58th
MATH-500 79.0 233 61th
AIME 2025 74.9 155 74th
LiveCodeBench 70.8 174 71th
TruthfulQA 79.0 214 64th
HellaSwag 86.4 198 67th
MMMU 71.5 254 58th
Arena Elo 1405.1 193 68th

FAQ

What score does Command R+ get on IFEval?

Command R+ scores 85.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Command R+ rank on IFEval?

It ranks #190 of 600 models, in the 68th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Command R+ 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 R+ cost?

Command R+ costs $3.96 per million input tokens and $20.08 per million output tokens.

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