Coding · OpenAI

o3 Max on LiveCodeBench: score, rank and what it means

o3 Max scores 76.4 on LiveCodeBench, placing it #79 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
76.4
0–100 scale
Rank
#79
of 600
Percentile
87th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
8.7
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with o3 Max highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, o3 Max sits at #79 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 8.7 points. The median model in this index scores 64.7, which puts o3 Max above the midpoint.

OpenAI models average 77.2 on this benchmark. o3 Max is 0.8 points below that provider line, so it is a weaker result than the average OpenAI model.

Among frontier models, the average is 80.6. o3 Max 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 76.4 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 $17.82 per million input tokens, o3 Max is above the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 2.5 Pro Pro Google DeepMind 400000 $17.16 83.6
Grok 3 Reasoning xAI 200000 $16.07 82.9
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
Grok 3 Turbo xAI 128000 $15.97 83.1
o3 Max OpenAI 2000000 $17.82 84.8
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
Gemini 2.5 Pro Google DeepMind 200000 $15.20 81.6

Other benchmarks for o3 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.9 65 89th
GPQA Diamond 82.7 20 97th
SWE-bench Verified 71.8 78 87th
HumanEval 89.8 52 91th
MATH-500 87.0 78 87th
AIME 2025 86.2 26 96th
IFEval 92.5 32 95th
TruthfulQA 87.3 32 95th
HellaSwag 93.4 19 97th
MMMU 80.8 48 92th
Arena Elo 1465.2 43 93th

FAQ

What score does o3 Max get on LiveCodeBench?

o3 Max scores 76.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does o3 Max rank on LiveCodeBench?

It ranks #79 of 600 models, in the 87th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is o3 Max good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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 Max cost?

o3 Max costs $17.82 per million input tokens and $90.55 per million output tokens.

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