Mathematics · OpenAI

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

o3 Reasoning scores 92.0 on MATH-500, placing it #21 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
92.0
0–100 scale
Rank
#21
of 600
Percentile
97th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
4.7
points

Score distribution

The chart shows the top 10 models on MATH-500, with o3 Reasoning 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 Reasoning sits at #21 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 4.7 points. The median model in this index scores 76.0, which puts o3 Reasoning above the midpoint.

OpenAI models average 87.5 on this benchmark. o3 Reasoning is 4.5 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 90.8. o3 Reasoning is 1.2 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 92.0 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 $18.07 per million input tokens, o3 Reasoning 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
o3 Pro OpenAI 400000 $17.89 85.8
Grok 4 Pro xAI 1000000 $19.00 85.4
Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
Grok 4 Turbo xAI 1000000 $19.21 86.7
o3 Reasoning OpenAI 200000 $18.07 85.3
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
Grok 3 Max xAI 2000000 $17.66 85.9

Other benchmarks for o3 Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 87.7 22 96th
GPQA Diamond 79.6 66 89th
SWE-bench Verified 74.1 51 92th
HumanEval 91.3 30 95th
AIME 2025 80.5 81 87th
LiveCodeBench 82.7 18 97th
IFEval 90.6 62 90th
TruthfulQA 86.5 44 93th
HellaSwag 90.9 65 89th
MMMU 82.3 31 95th
Arena Elo 1456.9 60 90th

FAQ

What score does o3 Reasoning get on MATH-500?

o3 Reasoning scores 92.0 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does o3 Reasoning rank on MATH-500?

It ranks #21 of 600 models, in the 97th percentile. The leader is GPT-5.2 Max at 96.7.

Is o3 Reasoning 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 Reasoning cost?

o3 Reasoning costs $18.07 per million input tokens and $70.65 per million output tokens.

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