Coding · Mistral AI

Mistral Large 3 8B on HumanEval: score, rank and what it means

Mistral Large 3 8B scores 66.5 on HumanEval, placing it #425 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
66.5
0–100 scale
Rank
#425
of 600
Percentile
29th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
30.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mistral Large 3 8B 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, Mistral Large 3 8B sits at #425 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 30.3 points. The median model in this index scores 77.4, which puts Mistral Large 3 8B below the midpoint.

Mistral AI models average 71.6 on this benchmark. Mistral Large 3 8B is 5.1 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 56.7. Mistral Large 3 8B is 9.8 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 66.5 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 $1.62 per million input tokens, Mistral Large 3 8B is below 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
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Pythia Instruct EleutherAI 8192 $1.41 60.8

Other benchmarks for Mistral Large 3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 64.7 459 24th
GPQA Diamond 55.7 453 25th
SWE-bench Verified 48.9 430 28th
MATH-500 61.0 452 25th
AIME 2025 53.3 430 28th
LiveCodeBench 52.1 429 29th
IFEval 73.7 408 32th
TruthfulQA 65.7 449 25th
HellaSwag 76.3 422 30th
MMMU 59.7 431 28th
Arena Elo 1301.3 417 31th

FAQ

What score does Mistral Large 3 8B get on HumanEval?

Mistral Large 3 8B scores 66.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mistral Large 3 8B rank on HumanEval?

It ranks #425 of 600 models, in the 29th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mistral Large 3 8B good at HumanEval?

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 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 Mistral Large 3 8B cost?

Mistral Large 3 8B costs $1.62 per million input tokens and $6.82 per million output tokens.

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