Reasoning · Mistral AI

Mistral Small 3 on GPQA Diamond: score, rank and what it means

Mistral Small 3 scores 73.8 on GPQA Diamond, placing it #177 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.8
0–100 scale
Rank
#177
of 600
Percentile
71th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Mistral Small 3 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, Mistral Small 3 sits at #177 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.2 points. The median model in this index scores 68.8, which puts Mistral Small 3 above the midpoint.

Mistral AI models average 63.3 on this benchmark. Mistral Small 3 is 10.5 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 73.5. Mistral Small 3 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 73.8 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 $3.90 per million input tokens, Mistral Small 3 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
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Magistral Instruct Mistral AI 65536 $4.48 78.4
Mistral Small 3 Mistral AI 32768 $3.90 75.3
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4
MiniMax-Text Chat MiniMax 128000 $4.26 77.8

Other benchmarks for Mistral Small 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.1 240 60th
SWE-bench Verified 65.6 202 66th
HumanEval 78.6 275 54th
MATH-500 77.2 274 54th
AIME 2025 70.8 242 60th
LiveCodeBench 65.1 292 51th
IFEval 83.5 232 61th
TruthfulQA 76.3 300 50th
HellaSwag 86.5 193 68th
MMMU 72.8 226 62th
Arena Elo 1407.1 190 68th

FAQ

What score does Mistral Small 3 get on GPQA Diamond?

Mistral Small 3 scores 73.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Mistral Small 3 rank on GPQA Diamond?

It ranks #177 of 600 models, in the 71st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Mistral Small 3 good at GPQA Diamond?

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 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 Mistral Small 3 cost?

Mistral Small 3 costs $3.90 per million input tokens and $20.43 per million output tokens.

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