Reasoning · Mistral AI

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

Codestral 8B scores 53.3 on GPQA Diamond, placing it #488 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
53.3
0–100 scale
Rank
#488
of 600
Percentile
19th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
33.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Codestral 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Codestral 8B sits at #488 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 33.7 points. The median model in this index scores 68.8, which puts Codestral 8B below the midpoint.

Mistral AI models average 63.3 on this benchmark. Codestral 8B is 10.0 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 49.3. Codestral 8B is 4.0 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 53.3 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 $1.18 per million input tokens, Codestral 8B is below the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Llama 4 Maverick 1.5B Meta AI 8192 $0.93 55.2
Codestral 8B Mistral AI 4096 $1.18 59.0
Phi-4 8B Microsoft 32768 $0.96 54.9
Magistral 8B Mistral AI 4096 $1.33 60.0

Other benchmarks for Codestral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.7 441 27th
SWE-bench Verified 46.1 451 25th
HumanEval 62.8 459 24th
MATH-500 57.9 492 18th
AIME 2025 49.9 461 23th
LiveCodeBench 49.5 453 25th
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 GPQA Diamond?

Codestral 8B scores 53.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Codestral 8B rank on GPQA Diamond?

It ranks #488 of 600 models, in the 19th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Codestral 8B good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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