Coding · Mistral AI

Mistral Small 3 1.5B on HumanEval: score, rank and what it means

Mistral Small 3 1.5B scores 50.9 on HumanEval, placing it #568 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
50.9
0–100 scale
Rank
#568
of 600
Percentile
5th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
45.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Mistral Small 3 1.5B 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 1.5B sits at #568 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 45.9 points. The median model in this index scores 77.4, which puts Mistral Small 3 1.5B below the midpoint.

Mistral AI models average 71.6 on this benchmark. Mistral Small 3 1.5B is 20.7 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 Small 3 1.5B is 5.8 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 50.9 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 $0.42 per million input tokens, Mistral Small 3 1.5B 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
Molmo 7B Allen Institute for AI 32768 $0.42 49.3
Nemotron Nano 8B NVIDIA 8192 $0.46 48.1
Mixtral 1.5B Mistral AI 16384 $0.36 47.7
Yi-Lightning 1.5B 01.AI 4096 $0.54 50.0
Mistral Small 3 1.5B Mistral AI 32768 $0.42 49.2
Phi-4 1.5B Microsoft 8192 $0.42 48.1
Llama 3 Anyscale 1.5B Anyscale 16384 $0.43 48.9

Other benchmarks for Mistral Small 3 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 56.3 566 6th
GPQA Diamond 44.3 569 5th
SWE-bench Verified 34.7 561 7th
MATH-500 48.7 569 5th
AIME 2025 36.6 558 7th
LiveCodeBench 34.5 572 5th
IFEval 62.5 551 8th
TruthfulQA 56.1 564 6th
HellaSwag 68.5 554 8th
MMMU 48.0 565 6th
Arena Elo 1200.3 555 8th

FAQ

What score does Mistral Small 3 1.5B get on HumanEval?

Mistral Small 3 1.5B scores 50.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Mistral Small 3 1.5B rank on HumanEval?

It ranks #568 of 600 models, in the 5th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Mistral Small 3 1.5B 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 Small 3 1.5B cost?

Mistral Small 3 1.5B costs $0.42 per million input tokens and $1.58 per million output tokens.

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