Coding · Cohere

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

Command R+ Chat scores 71.1 on LiveCodeBench, placing it #167 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
71.1
0–100 scale
Rank
#167
of 600
Percentile
72th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
14.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Command R+ Chat 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+ Chat sits at #167 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 14.0 points. The median model in this index scores 64.7, which puts Command R+ Chat above the midpoint.

Cohere models average 58.9 on this benchmark. Command R+ Chat is 12.2 points above that provider line, so it is a stronger result than the average Cohere model.

Among multimodal models, the average is 70.3. Command R+ Chat is 0.8 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 71.1 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 $4.02 per million input tokens, Command R+ Chat is above 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 3.3 Groq Chat Groq 32768 $4.06 76.8
QwQ Alibaba Cloud 128000 $4.57 78.6
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Sonar Reasoning Perplexity 200000 $11.48 76.2
Command R+ Chat Cohere 32768 $4.02 76.0
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5

Other benchmarks for Command R+ Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.9 149 75th
GPQA Diamond 70.0 261 57th
SWE-bench Verified 66.7 175 71th
HumanEval 82.5 172 71th
MATH-500 76.7 287 52th
AIME 2025 72.3 210 65th
IFEval 82.0 277 54th
TruthfulQA 79.5 200 67th
HellaSwag 84.9 249 59th
MMMU 69.8 309 49th
Arena Elo 1401.9 204 66th

FAQ

What score does Command R+ Chat get on LiveCodeBench?

Command R+ Chat scores 71.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Command R+ Chat rank on LiveCodeBench?

It ranks #167 of 600 models, in the 72nd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Command R+ Chat good at LiveCodeBench?

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 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+ Chat cost?

Command R+ Chat costs $4.02 per million input tokens and $15.33 per million output tokens.

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