Coding · OpenAI

GPT-4.1 Max on HumanEval: score, rank and what it means

GPT-4.1 Max scores 88.8 on HumanEval, placing it #59 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
88.8
0–100 scale
Rank
#59
of 600
Percentile
90th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
8.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-4.1 Max highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, GPT-4.1 Max sits at #59 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 8.0 points. The median model in this index scores 77.4, which puts GPT-4.1 Max above the midpoint.

OpenAI models average 87.6 on this benchmark. GPT-4.1 Max is 1.2 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 90.8. GPT-4.1 Max is 2.0 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 88.8 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 $17.34 per million input tokens, GPT-4.1 Max is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-5.1 Vision OpenAI 400000 $17.76 84.8
o4 OpenAI 2000000 $17.74 85.4
Claude 3.7 Sonnet Reasoning Anthropic 128000 $16.30 83.7
o4 Vision OpenAI 200000 $17.01 84.5
GPT-4.1 Max OpenAI 400000 $17.34 84.7
GPT-4.1 Reasoning OpenAI 1000000 $16.97 83.8
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4

Other benchmarks for GPT-4.1 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 87.4 26 96th
GPQA Diamond 81.2 42 93th
SWE-bench Verified 74.8 42 93th
MATH-500 87.3 73 88th
AIME 2025 84.9 40 93th
LiveCodeBench 78.5 59 90th
IFEval 92.1 37 94th
TruthfulQA 85.4 61 90th
HellaSwag 90.7 69 89th
MMMU 80.5 51 92th
Arena Elo 1467.6 39 94th

FAQ

What score does GPT-4.1 Max get on HumanEval?

GPT-4.1 Max scores 88.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-4.1 Max rank on HumanEval?

It ranks #59 of 600 models, in the 90th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-4.1 Max good at HumanEval?

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 HumanEval score calculated?

HumanEval 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 GPT-4.1 Max cost?

GPT-4.1 Max costs $17.34 per million input tokens and $66.38 per million output tokens.

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