Coding · OpenAI

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

GPT-4.1 Vision scores 86.8 on HumanEval, placing it #92 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
86.8
0–100 scale
Rank
#92
of 600
Percentile
85th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
10.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-4.1 Vision 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 Vision sits at #92 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 10.0 points. The median model in this index scores 77.4, which puts GPT-4.1 Vision above the midpoint.

OpenAI models average 87.6 on this benchmark. GPT-4.1 Vision is 0.8 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 82.2. GPT-4.1 Vision is 4.6 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 86.8 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 $14.88 per million input tokens, GPT-4.1 Vision 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 2.5 Pro Max Google DeepMind 200000 $16.94 84.8
Qwen3 Alibaba Cloud 128000 $5.04 80.3
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
Gemini 3 Flash Reasoning Google DeepMind 128000 $17.05 83.7
GPT-4.1 Vision OpenAI 1000000 $14.88 82.0
Grok 3 Turbo xAI 128000 $15.97 83.1
Gemini 2.5 Pro Reasoning Google DeepMind 128000 $16.81 83.8

Other benchmarks for GPT-4.1 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.0 82 86th
GPQA Diamond 79.3 68 89th
SWE-bench Verified 72.4 70 88th
MATH-500 87.5 71 88th
AIME 2025 77.2 128 79th
LiveCodeBench 74.3 102 83th
IFEval 88.7 89 85th
TruthfulQA 84.4 76 87th
HellaSwag 89.7 93 85th
MMMU 77.5 106 82th
Arena Elo 1451.8 69 89th

FAQ

What score does GPT-4.1 Vision get on HumanEval?

GPT-4.1 Vision scores 86.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-4.1 Vision rank on HumanEval?

It ranks #92 of 600 models, in the 85th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-4.1 Vision 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 Vision cost?

GPT-4.1 Vision costs $14.88 per million input tokens and $81.24 per million output tokens.

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