Coding · Cohere

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

Command R+ 7B scores 44.8 on LiveCodeBench, placing it #500 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
44.8
0–100 scale
Rank
#500
of 600
Percentile
17th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
40.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Command R+ 7B highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Command R+ 7B sits at #500 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 40.3 points. The median model in this index scores 64.7, which puts Command R+ 7B below the midpoint.

Cohere models average 58.9 on this benchmark. Command R+ 7B is 14.1 points below that provider line, so it is a weaker result than the average Cohere model.

Among small open-weight models, the average is 41.2. Command R+ 7B is 3.6 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 44.8 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Novita 7B Novita AI 8192 $0.92 56.3
Mixtral Groq 8B Groq 32768 $0.77 54.8
Pythia Chat EleutherAI 4096 $1.31 59.1
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Command R+ 7B Cohere 8192 $0.95 56.2
Seed-OSS 7B ByteDance 8192 $0.85 55.5
Llama 3.3 Groq 7B Groq 16384 $1.01 56.7

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
IFEval 67.9 490 18th
TruthfulQA 63.7 474 21th
HellaSwag 71.1 517 14th
MMMU 53.3 516 14th
Arena Elo 1243.3 501 17th

FAQ

What score does Command R+ 7B get on LiveCodeBench?

Command R+ 7B scores 44.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Command R+ 7B rank on LiveCodeBench?

It ranks #500 of 600 models, in the 17th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Command R+ 7B good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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.

Related