Preference · Cohere

Command R+ 7B on Arena Elo: score, rank and what it means

Command R+ 7B scores 1243.3 on Arena Elo, placing it #501 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
1243.3
0–100 scale
Rank
#501
of 600
Percentile
17th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
258.6
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Command R+ 7B 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 R+ 7B sits at #501 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 258.6 points. The median model in this index scores 1373.8, which puts Command R+ 7B below the midpoint.

Cohere models average 1339.8 on this benchmark. Command R+ 7B is 96.5 points below that provider line, so it is a weaker result than the average Cohere model.

Among small open-weight models, the average is 1224.7. Command R+ 7B is 18.6 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 1243.3 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 $0.95 per million input tokens, Command R+ 7B is below 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
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Codestral 7B Mistral AI 32768 $1.05 57.0
Command R+ 7B Cohere 8192 $0.95 56.2
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4
DBRX 8B Databricks 4096 $0.82 54.1

Other benchmarks for Command R+ 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.5 507 16th
GPQA Diamond 49.7 528 12th
SWE-bench Verified 43.9 480 20th
HumanEval 58.6 515 14th
MATH-500 59.0 476 21th
AIME 2025 44.9 498 17th
LiveCodeBench 44.8 500 17th
IFEval 67.9 490 18th
TruthfulQA 63.7 474 21th
HellaSwag 71.1 517 14th
MMMU 53.3 516 14th

FAQ

What score does Command R+ 7B get on Arena Elo?

Command R+ 7B scores 1243.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Command R+ 7B rank on Arena Elo?

It ranks #501 of 600 models, in the 17th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Command R+ 7B good at Arena Elo?

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 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 R+ 7B cost?

Command R+ 7B costs $0.95 per million input tokens and $4.04 per million output tokens.

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