Reasoning · Mistral AI

Magistral Chat on GPQA Diamond: score, rank and what it means

Magistral Chat scores 72.3 on GPQA Diamond, placing it #214 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
72.3
0–100 scale
Rank
#214
of 600
Percentile
64th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
14.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Magistral Chat 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, Magistral Chat sits at #214 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 14.7 points. The median model in this index scores 68.8, which puts Magistral Chat above the midpoint.

Mistral AI models average 63.3 on this benchmark. Magistral Chat is 9.0 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. Magistral Chat is 1.2 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 72.3 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 $4.33 per million input tokens, Magistral Chat 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
Sonar Pro Pro Perplexity 200000 $13.59 79.7
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Nova Pro Turbo Amazon 128000 $13.18 78.4
Qwen3-Coder Chat Alibaba Cloud 128000 $4.59 78.4
Magistral Chat Mistral AI 128000 $4.33 76.8
Seed-OSS Instruct ByteDance 128000 $3.79 76.0
Qwen3-Coder Base Alibaba Cloud 200000 $3.99 76.6

Other benchmarks for Magistral Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.9 246 59th
SWE-bench Verified 64.5 222 63th
HumanEval 81.3 207 66th
MATH-500 83.8 128 79th
AIME 2025 73.7 192 68th
LiveCodeBench 67.5 238 60th
IFEval 83.5 231 62th
TruthfulQA 82.3 124 79th
HellaSwag 86.1 213 65th
MMMU 72.0 246 59th
Arena Elo 1397.1 217 64th

FAQ

What score does Magistral Chat get on GPQA Diamond?

Magistral Chat scores 72.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Magistral Chat rank on GPQA Diamond?

It ranks #214 of 600 models, in the 64th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Magistral Chat 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 Magistral Chat cost?

Magistral Chat costs $4.33 per million input tokens and $16.06 per million output tokens.

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