Mathematics · OpenAI

o4 Mini on MATH-500: score, rank and what it means

o4 Mini scores 83.5 on MATH-500, placing it #136 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
83.5
0–100 scale
Rank
#136
of 600
Percentile
77th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
13.2
points

Score distribution

The chart shows the top 10 models on MATH-500, with o4 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, o4 Mini sits at #136 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 13.2 points. The median model in this index scores 76.0, which puts o4 Mini above the midpoint.

OpenAI models average 87.5 on this benchmark. o4 Mini is 4.0 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 81.3. o4 Mini is 2.2 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 83.5 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 $11.92 per million input tokens, o4 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
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Nova Pro Pro Amazon 200000 $13.03 79.5
o4 Mini OpenAI 200000 $11.92 77.7
GLM-4.6 Zhipu AI 128000 $5.10 80.2
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4

Other benchmarks for o4 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 160 73th
GPQA Diamond 73.5 189 69th
SWE-bench Verified 64.9 215 64th
HumanEval 81.8 190 68th
AIME 2025 75.3 150 75th
LiveCodeBench 67.7 232 61th
IFEval 84.6 200 67th
TruthfulQA 81.2 152 75th
HellaSwag 87.7 155 74th
MMMU 73.7 201 67th
Arena Elo 1417.0 163 73th

FAQ

What score does o4 Mini get on MATH-500?

o4 Mini scores 83.5 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does o4 Mini rank on MATH-500?

It ranks #136 of 600 models, in the 77th percentile. The leader is GPT-5.2 Max at 96.7.

Is o4 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 o4 Mini cost?

o4 Mini costs $11.92 per million input tokens and $51.03 per million output tokens.

Related