Mathematics · Mistral AI

Mistral Small 3 Chat on MATH-500: score, rank and what it means

Mistral Small 3 Chat scores 75.2 on MATH-500, placing it #322 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
75.2
0–100 scale
Rank
#322
of 600
Percentile
46th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
21.5
points

Score distribution

The chart shows the top 10 models on MATH-500, with Mistral Small 3 Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Mistral Small 3 Chat sits at #322 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 21.5 points. The median model in this index scores 76.0, which puts Mistral Small 3 Chat below the midpoint.

Mistral AI models average 69.1 on this benchmark. Mistral Small 3 Chat is 6.1 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 81.3. Mistral Small 3 Chat is 6.1 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 75.2 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 $3.54 per million input tokens, Mistral Small 3 Chat is below the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0
GPT-4.1 Nano OpenAI 32768 $7.42 70.5
Grok 3 Mini xAI 200000 $9.67 73.9
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Mistral Small 3 Chat Mistral AI 200000 $3.54 73.7
Gemini 3 Flash Nano Google DeepMind 32768 $7.56 69.4
OLMo 2 Allen Institute for AI 65536 $2.99 71.0

Other benchmarks for Mistral Small 3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.7 286 52th
GPQA Diamond 68.2 310 48th
SWE-bench Verified 61.6 291 52th
HumanEval 80.1 231 62th
AIME 2025 66.9 315 48th
LiveCodeBench 67.6 235 61th
IFEval 82.9 247 59th
TruthfulQA 78.8 226 62th
HellaSwag 82.6 333 45th
MMMU 70.4 285 53th
Arena Elo 1387.4 257 57th

FAQ

What score does Mistral Small 3 Chat get on MATH-500?

Mistral Small 3 Chat scores 75.2 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Mistral Small 3 Chat rank on MATH-500?

It ranks #322 of 600 models, in the 46th percentile. The leader is GPT-5.2 Max at 96.7.

Is Mistral Small 3 Chat good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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 Chat cost?

Mistral Small 3 Chat costs $3.54 per million input tokens and $16.77 per million output tokens.

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