Coding · Mistral AI

Codestral Instruct on HumanEval: score, rank and what it means

Codestral Instruct scores 82.5 on HumanEval, placing it #171 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
82.5
0–100 scale
Rank
#171
of 600
Percentile
72th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
14.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Codestral Instruct highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Codestral Instruct sits at #171 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 14.3 points. The median model in this index scores 77.4, which puts Codestral Instruct above the midpoint.

Mistral AI models average 71.6 on this benchmark. Codestral Instruct is 10.9 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 82.2. Codestral Instruct is 0.3 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 82.5 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 $4.01 per million input tokens, Codestral Instruct is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
ERNIE 4.0 Turbo Baidu 65536 $12.00 78.0
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Sonar Pro Perplexity 128000 $13.01 79.1
Codestral Instruct Mistral AI 65536 $4.01 75.1
Command R+ Chat Cohere 32768 $4.02 76.0
DeepSeek-Coder Chat DeepSeek 200000 $4.20 77.3

Other benchmarks for Codestral Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.4 228 62th
GPQA Diamond 69.2 287 52th
SWE-bench Verified 64.3 225 63th
MATH-500 78.1 256 57th
AIME 2025 68.0 295 51th
LiveCodeBench 66.1 272 55th
IFEval 84.2 209 65th
TruthfulQA 78.2 248 59th
HellaSwag 87.3 161 73th
MMMU 70.0 302 50th
Arena Elo 1394.4 231 62th

FAQ

What score does Codestral Instruct get on HumanEval?

Codestral Instruct scores 82.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Codestral Instruct rank on HumanEval?

It ranks #171 of 600 models, in the 72nd percentile. The leader is GPT-5.2 Pro at 96.8.

Is Codestral Instruct good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 Instruct cost?

Codestral Instruct costs $4.01 per million input tokens and $16.29 per million output tokens.

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