Mathematics · OpenAI

o3 Mini on MATH-500: score, rank and what it means

o3 Mini scores 81.2 on MATH-500, placing it #188 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
81.2
0–100 scale
Rank
#188
of 600
Percentile
69th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
15.5
points

Score distribution

The chart shows the top 10 models on MATH-500, with o3 Mini 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, o3 Mini sits at #188 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 15.5 points. The median model in this index scores 76.0, which puts o3 Mini above the midpoint.

OpenAI models average 87.5 on this benchmark. o3 Mini is 6.3 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 81.3. o3 Mini is 0.1 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 81.2 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 $10.68 per million input tokens, o3 Mini is above 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
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
GPT-5.2 Mini OpenAI 200000 $13.34 80.4
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2
Seed-OSS Instruct ByteDance 128000 $3.79 76.0
o3 Mini OpenAI 128000 $10.68 76.2
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Nova Pro Turbo Amazon 128000 $13.18 78.4

Other benchmarks for o3 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.6 290 52th
GPQA Diamond 71.9 222 63th
SWE-bench Verified 63.4 247 59th
HumanEval 81.5 200 67th
AIME 2025 69.8 263 56th
LiveCodeBench 70.7 178 70th
IFEval 82.7 255 58th
TruthfulQA 79.6 199 67th
HellaSwag 86.4 203 66th
MMMU 74.0 193 68th
Arena Elo 1394.3 232 61th

FAQ

What score does o3 Mini get on MATH-500?

o3 Mini scores 81.2 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does o3 Mini rank on MATH-500?

It ranks #188 of 600 models, in the 69th percentile. The leader is GPT-5.2 Max at 96.7.

Is o3 Mini good at MATH-500?

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 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 o3 Mini cost?

o3 Mini costs $10.68 per million input tokens and $45.84 per million output tokens.

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