Reasoning · Mistral AI

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

Mistral Small 3 Instruct scores 70.0 on GPQA Diamond, placing it #264 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.0
0–100 scale
Rank
#264
of 600
Percentile
56th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
17.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Mistral Small 3 Instruct 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 Instruct sits at #264 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 17.0 points. The median model in this index scores 68.8, which puts Mistral Small 3 Instruct above the midpoint.

Mistral AI models average 63.3 on this benchmark. Mistral Small 3 Instruct is 6.7 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 Instruct is 3.5 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 70.0 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 $3.97 per million input tokens, Mistral Small 3 Instruct 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
Codestral Chat Mistral AI 32768 $3.89 75.8
Command R+ Chat Cohere 32768 $4.02 76.0
Llama 3 Lambda Base Lambda 8192 $3.19 72.9
Llama 3 Novita Novita AI 128000 $3.70 74.4
Mistral Small 3 Instruct Mistral AI 32768 $3.97 75.1
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2

Other benchmarks for Mistral Small 3 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.3 233 61th
SWE-bench Verified 62.2 277 54th
HumanEval 79.7 243 60th
MATH-500 80.5 200 67th
AIME 2025 68.2 294 51th
LiveCodeBench 68.2 224 63th
IFEval 85.3 178 70th
TruthfulQA 76.1 303 50th
HellaSwag 85.0 246 59th
MMMU 72.9 224 63th
Arena Elo 1385.0 265 56th

FAQ

What score does Mistral Small 3 Instruct get on GPQA Diamond?

Mistral Small 3 Instruct scores 70.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Mistral Small 3 Instruct rank on GPQA Diamond?

It ranks #264 of 600 models, in the 56th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Mistral Small 3 Instruct 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 Instruct cost?

Mistral Small 3 Instruct costs $3.97 per million input tokens and $20.95 per million output tokens.

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