Coding · OpenAI

o4 Max on LiveCodeBench: score, rank and what it means

o4 Max scores 80.6 on LiveCodeBench, placing it #38 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
80.6
0–100 scale
Rank
#38
of 600
Percentile
94th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
4.5
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with o4 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, o4 Max sits at #38 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 4.5 points. The median model in this index scores 64.7, which puts o4 Max above the midpoint.

OpenAI models average 77.2 on this benchmark. o4 Max is 3.4 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 80.6. o4 Max is 0.0 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 80.6 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 $19.51 per million input tokens, o4 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
Grok 3 Pro xAI 400000 $16.61 83.8
o3 OpenAI 400000 $16.80 84.5
o3 Turbo OpenAI 200000 $16.63 83.4
Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
o4 Max OpenAI 2000000 $19.51 86.2
GPT-4.1 Reasoning OpenAI 1000000 $16.97 83.8
DeepSeek-V3.2 DeepSeek 1000000 $5.88 84.0

Other benchmarks for o4 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.3 47 92th
GPQA Diamond 80.1 54 91th
SWE-bench Verified 79.8 7 99th
HumanEval 94.6 3 100th
MATH-500 90.6 42 93th
AIME 2025 84.8 42 93th
IFEval 91.1 52 91th
TruthfulQA 87.1 35 94th
HellaSwag 91.7 45 93th
MMMU 81.9 33 95th
Arena Elo 1486.0 13 98th

FAQ

What score does o4 Max get on LiveCodeBench?

o4 Max scores 80.6 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does o4 Max rank on LiveCodeBench?

It ranks #38 of 600 models, in the 94th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is o4 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 o4 Max cost?

o4 Max costs $19.51 per million input tokens and $93.98 per million output tokens.

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