Instruction following · Cohere

Command R+ 8B on IFEval: score, rank and what it means

Command R+ 8B scores 70.1 on IFEval, placing it #458 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
70.1
0–100 scale
Rank
#458
of 600
Percentile
24th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
26.0
points

Score distribution

The chart shows the top 10 models on IFEval, with Command R+ 8B 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+ 8B sits at #458 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 26.0 points. The median model in this index scores 81.2, which puts Command R+ 8B below the midpoint.

Cohere models average 77.5 on this benchmark. Command R+ 8B is 7.4 points below that provider line, so it is a weaker result than the average Cohere model.

Among small open-weight models, the average is 64.9. Command R+ 8B is 5.2 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 70.1 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 $1.21 per million input tokens, Command R+ 8B 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
Pythia EleutherAI 32768 $1.29 59.8
Zephyr Hugging Face 8192 $1.61 62.8
Zephyr Base Hugging Face 4096 $1.26 59.5
Llama 3.3 8B Meta AI 8192 $1.26 60.1
Command R+ 8B Cohere 8192 $1.21 57.7
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9

Other benchmarks for Command R+ 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 62.6 492 18th
GPQA Diamond 55.1 462 23th
SWE-bench Verified 42.7 493 18th
HumanEval 61.3 477 21th
MATH-500 57.8 494 18th
AIME 2025 46.4 484 19th
LiveCodeBench 43.5 511 15th
TruthfulQA 63.4 483 20th
HellaSwag 74.1 454 24th
MMMU 57.7 460 23th
Arena Elo 1255.3 482 20th

FAQ

What score does Command R+ 8B get on IFEval?

Command R+ 8B scores 70.1 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Command R+ 8B rank on IFEval?

It ranks #458 of 600 models, in the 24th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Command R+ 8B good at IFEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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+ 8B cost?

Command R+ 8B costs $1.21 per million input tokens and $5.69 per million output tokens.

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