Knowledge · OpenAI

o3 Turbo on MMLU-Pro: score, rank and what it means

o3 Turbo scores 82.7 on MMLU-Pro, placing it #111 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
82.7
0–100 scale
Rank
#111
of 600
Percentile
82th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
8.9
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with o3 Turbo highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, o3 Turbo sits at #111 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 8.9 points. The median model in this index scores 76.1, which puts o3 Turbo above the midpoint.

OpenAI models average 84.4 on this benchmark. o3 Turbo is 1.7 points below that provider line, so it is a weaker result than the average OpenAI model.

Among frontier models, the average is 86.9. o3 Turbo is 4.2 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 82.7 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 $16.63 per million input tokens, o3 Turbo is above the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
o3 Turbo OpenAI 200000 $16.63 83.4
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0

Other benchmarks for o3 Turbo

BenchmarkScoreRankPercentileRelative
GPQA Diamond 77.7 95 84th
SWE-bench Verified 70.7 98 84th
HumanEval 87.4 81 87th
MATH-500 90.6 41 93th
AIME 2025 83.0 55 91th
LiveCodeBench 80.7 36 94th
IFEval 89.1 80 87th
TruthfulQA 83.6 91 85th
HellaSwag 91.8 44 93th
MMMU 79.7 63 90th
Arena Elo 1456.2 61 90th

FAQ

What score does o3 Turbo get on MMLU-Pro?

o3 Turbo scores 82.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does o3 Turbo rank on MMLU-Pro?

It ranks #111 of 600 models, in the 82nd percentile. The leader is GPT-5.2 Pro at 91.6.

Is o3 Turbo good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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 Turbo cost?

o3 Turbo costs $16.63 per million input tokens and $83.71 per million output tokens.

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