Coding · Mistral AI

Codestral 7B on LiveCodeBench: score, rank and what it means

Codestral 7B scores 48.0 on LiveCodeBench, placing it #465 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
48.0
0–100 scale
Rank
#465
of 600
Percentile
23th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
37.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Codestral 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, Codestral 7B sits at #465 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 37.1 points. The median model in this index scores 64.7, which puts Codestral 7B below the midpoint.

Mistral AI models average 58.1 on this benchmark. Codestral 7B is 10.1 points below that provider line, so it is a weaker result than the average Mistral AI model.

Among small open-weight models, the average is 41.2. Codestral 7B is 6.8 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 48.0 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 $1.05 per million input tokens, Codestral 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 4 Maverick 7B Meta AI 4096 $1.52 61.9
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
Codestral 7B Mistral AI 32768 $1.05 57.0
DeepSeek-Coder 8B DeepSeek 32768 $1.26 58.7
Nemotron 4 7B NVIDIA 16384 $1.05 56.9

Other benchmarks for Codestral 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.2 526 12th
GPQA Diamond 54.0 480 20th
SWE-bench Verified 44.0 478 20th
HumanEval 62.3 465 23th
MATH-500 57.0 497 17th
AIME 2025 42.8 525 13th
IFEval 69.0 473 21th
TruthfulQA 61.0 519 14th
HellaSwag 73.9 457 24th
MMMU 55.1 495 18th
Arena Elo 1243.9 500 17th

FAQ

What score does Codestral 7B get on LiveCodeBench?

Codestral 7B scores 48.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Codestral 7B rank on LiveCodeBench?

It ranks #465 of 600 models, in the 23rd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Codestral 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 Codestral 7B cost?

Codestral 7B costs $1.05 per million input tokens and $5.23 per million output tokens.

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