Coding · Mistral AI

Codestral 8B on LiveCodeBench: score, rank and what it means

Codestral 8B scores 49.5 on LiveCodeBench, placing it #453 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
49.5
0–100 scale
Rank
#453
of 600
Percentile
25th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
35.6
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Codestral 8B 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 8B sits at #453 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 35.6 points. The median model in this index scores 64.7, which puts Codestral 8B below the midpoint.

Mistral AI models average 58.1 on this benchmark. Codestral 8B is 8.6 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 8B is 8.3 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 49.5 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 $1.18 per million input tokens, Codestral 8B 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
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Nova Lite Nano Amazon 8192 $3.29 59.5
SmolLM3 Hugging Face 8192 $1.71 63.1
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Codestral 8B Mistral AI 4096 $1.18 59.0
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
GPT-NeoX Base EleutherAI 16384 $1.22 59.7

Other benchmarks for Codestral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.7 441 27th
GPQA Diamond 53.3 488 19th
SWE-bench Verified 46.1 451 25th
HumanEval 62.8 459 24th
MATH-500 57.9 492 18th
AIME 2025 49.9 461 23th
IFEval 70.4 451 25th
TruthfulQA 65.4 455 24th
HellaSwag 72.0 495 18th
MMMU 55.6 491 18th
Arena Elo 1253.3 486 19th

FAQ

What score does Codestral 8B get on LiveCodeBench?

Codestral 8B scores 49.5 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Codestral 8B rank on LiveCodeBench?

It ranks #453 of 600 models, in the 25th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Codestral 8B 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 8B cost?

Codestral 8B costs $1.18 per million input tokens and $5.35 per million output tokens.

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