Coding · OpenAI

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

GPT-4.1 scores 88.3 on HumanEval, placing it #68 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
88.3
0–100 scale
Rank
#68
of 600
Percentile
89th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
8.5
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-4.1 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 sits at #68 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 8.5 points. The median model in this index scores 77.4, which puts GPT-4.1 above the midpoint.

OpenAI models average 87.6 on this benchmark. GPT-4.1 is 0.7 points above that provider line, so it is a stronger result than the average OpenAI model.

Among multimodal models, the average is 82.2. GPT-4.1 is 6.1 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 88.3 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 $15.71 per million input tokens, GPT-4.1 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
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0
Grok 3 Reasoning xAI 200000 $16.07 82.9
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
Gemini 2.5 Pro Pro Google DeepMind 400000 $17.16 83.6
GPT-4.1 OpenAI 1000000 $15.71 82.4
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
Gemini 2.5 Pro Turbo Google DeepMind 1000000 $16.32 83.9

Other benchmarks for GPT-4.1

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.2 48 92th
GPQA Diamond 76.1 118 80th
SWE-bench Verified 72.2 74 88th
MATH-500 86.8 82 86th
AIME 2025 79.9 89 85th
LiveCodeBench 77.8 66 89th
IFEval 90.4 63 90th
TruthfulQA 81.8 132 78th
HellaSwag 90.3 77 87th
MMMU 76.3 132 78th
Arena Elo 1432.4 115 81th

FAQ

What score does GPT-4.1 get on HumanEval?

GPT-4.1 scores 88.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-4.1 rank on HumanEval?

It ranks #68 of 600 models, in the 89th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-4.1 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 cost?

GPT-4.1 costs $15.71 per million input tokens and $64.52 per million output tokens.

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