Reasoning · Mistral AI

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

Mistral Large 3 Instruct scores 79.8 on GPQA Diamond, placing it #60 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
79.8
0–100 scale
Rank
#60
of 600
Percentile
90th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
7.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Mistral Large 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 Large 3 Instruct sits at #60 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 7.2 points. The median model in this index scores 68.8, which puts Mistral Large 3 Instruct above the midpoint.

Mistral AI models average 63.3 on this benchmark. Mistral Large 3 Instruct is 16.5 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 Large 3 Instruct is 6.3 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 79.8 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 $5.31 per million input tokens, Mistral Large 3 Instruct is above 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
Gemini 2.5 Pro Reasoning Google DeepMind 128000 $16.81 83.8
Grok 3 xAI 128000 $15.84 82.8
Qwen3-Max Pro Alibaba Cloud 400000 $18.87 86.2
Gemini 2.5 Pro Max Google DeepMind 200000 $16.94 84.8
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Qwen3-Max Reasoning Alibaba Cloud 2000000 $18.12 85.9
Claude 3.7 Sonnet Turbo Anthropic 200000 $15.56 82.3

Other benchmarks for Mistral Large 3 Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.3 116 81th
SWE-bench Verified 71.9 76 87th
HumanEval 84.2 129 79th
MATH-500 83.4 140 77th
AIME 2025 76.2 137 77th
LiveCodeBench 75.1 94 84th
IFEval 87.6 113 81th
TruthfulQA 85.5 60 90th
HellaSwag 89.1 110 82th
MMMU 76.5 125 79th
Arena Elo 1446.2 88 85th

FAQ

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

Mistral Large 3 Instruct scores 79.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Mistral Large 3 Instruct rank on GPQA Diamond?

It ranks #60 of 600 models, in the 90th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Mistral Large 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 Large 3 Instruct cost?

Mistral Large 3 Instruct costs $5.31 per million input tokens and $22.47 per million output tokens.

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