Mathematics · OpenAI

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

o3 Vision scores 84.4 on MATH-500, placing it #118 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
84.4
0–100 scale
Rank
#118
of 600
Percentile
80th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
12.3
points

Score distribution

The chart shows the top 10 models on MATH-500, with o3 Vision 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 Vision sits at #118 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 12.3 points. The median model in this index scores 76.0, which puts o3 Vision above the midpoint.

OpenAI models average 87.5 on this benchmark. o3 Vision is 3.1 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 Vision is 3.1 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 84.4 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 $15.24 per million input tokens, o3 Vision 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
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
o3 Vision OpenAI 1000000 $15.24 81.8
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0
Command A Cohere 200000 $13.30 79.6

Other benchmarks for o3 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.6 92 85th
GPQA Diamond 77.8 92 85th
SWE-bench Verified 71.8 79 87th
HumanEval 85.6 104 83th
AIME 2025 82.4 62 90th
LiveCodeBench 73.7 117 81th
IFEval 89.3 78 87th
TruthfulQA 85.8 55 91th
HellaSwag 89.7 96 84th
MMMU 75.7 147 76th
Arena Elo 1436.5 104 83th

FAQ

What score does o3 Vision get on MATH-500?

o3 Vision scores 84.4 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does o3 Vision rank on MATH-500?

It ranks #118 of 600 models, in the 80th percentile. The leader is GPT-5.2 Max at 96.7.

Is o3 Vision 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 Vision cost?

o3 Vision costs $15.24 per million input tokens and $65.25 per million output tokens.

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