Coding · OpenAI

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

GPT-4.1 Mini scores 78.9 on HumanEval, placing it #267 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
78.9
0–100 scale
Rank
#267
of 600
Percentile
56th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
17.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-4.1 Mini 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 Mini sits at #267 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 17.9 points. The median model in this index scores 77.4, which puts GPT-4.1 Mini above the midpoint.

OpenAI models average 87.6 on this benchmark. GPT-4.1 Mini is 8.7 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 Mini is 3.3 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 78.9 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 $10.43 per million input tokens, GPT-4.1 Mini 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
Llama 3 DeepInfra DeepInfra 128000 $3.67 74.0
Yi-Lightning Instruct 01.AI 128000 $4.16 76.5
Gemini 2.5 Pro Mini Google DeepMind 128000 $10.07 74.2
Sonar Pro Perplexity 65536 $11.25 77.1
GPT-4.1 Mini OpenAI 128000 $10.43 74.3
Llama 3 Modal Base Modal 16384 $3.21 72.2
Llama 3 Modal Modal 32768 $3.82 74.9

Other benchmarks for GPT-4.1 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.7 285 53th
GPQA Diamond 69.3 285 53th
SWE-bench Verified 60.9 304 49th
MATH-500 77.9 259 57th
AIME 2025 66.9 314 48th
LiveCodeBench 67.0 249 59th
IFEval 81.4 289 52th
TruthfulQA 79.8 185 69th
HellaSwag 84.9 250 58th
MMMU 73.9 195 68th
Arena Elo 1379.7 274 54th

FAQ

What score does GPT-4.1 Mini get on HumanEval?

GPT-4.1 Mini scores 78.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-4.1 Mini rank on HumanEval?

It ranks #267 of 600 models, in the 56th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-4.1 Mini 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 Mini cost?

GPT-4.1 Mini costs $10.43 per million input tokens and $49.01 per million output tokens.

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