Coding · Mistral AI

Mistral Small 3 Base on HumanEval: score, rank and what it means

Mistral Small 3 Base scores 77.5 on HumanEval, placing it #298 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
77.5
0–100 scale
Rank
#298
of 600
Percentile
50th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
19.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mistral Small 3 Base 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 Small 3 Base sits at #298 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 19.3 points. The median model in this index scores 77.4, which puts Mistral Small 3 Base above the midpoint.

Mistral AI models average 71.6 on this benchmark. Mistral Small 3 Base is 5.9 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 72.4. Mistral Small 3 Base is 5.1 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 77.5 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 $3.19 per million input tokens, Mistral Small 3 Base 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
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Turbo Together AI 65536 $3.20 72.4
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Llama 3 Novita Novita AI 128000 $3.70 74.4

Other benchmarks for Mistral Small 3 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 262 56th
GPQA Diamond 70.6 246 59th
SWE-bench Verified 59.4 336 44th
MATH-500 73.1 357 41th
AIME 2025 69.7 264 56th
LiveCodeBench 63.7 328 45th
IFEval 80.0 332 45th
TruthfulQA 76.7 288 52th
HellaSwag 83.4 309 49th
MMMU 68.5 335 44th
Arena Elo 1377.0 284 53th

FAQ

What score does Mistral Small 3 Base get on HumanEval?

Mistral Small 3 Base scores 77.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mistral Small 3 Base rank on HumanEval?

It ranks #298 of 600 models, in the 50th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mistral Small 3 Base 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 Mistral Small 3 Base cost?

Mistral Small 3 Base costs $3.19 per million input tokens and $11.34 per million output tokens.

Related