Coding · OpenAI

GPT-5.1 Nano on HumanEval: score, rank and what it means

GPT-5.1 Nano scores 76.1 on HumanEval, placing it #328 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
76.1
0–100 scale
Rank
#328
of 600
Percentile
45th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
20.7
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-5.1 Nano 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-5.1 Nano sits at #328 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 20.7 points. The median model in this index scores 77.4, which puts GPT-5.1 Nano below the midpoint.

OpenAI models average 87.6 on this benchmark. GPT-5.1 Nano is 11.5 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-5.1 Nano is 6.1 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 76.1 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 $9.56 per million input tokens, GPT-5.1 Nano 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
Fusion Turbo OpenRouter 8192 $8.55 71.7
Grok 4 Nano xAI 16384 $8.97 72.7
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Phi-3.5 Microsoft 16384 $2.81 70.9
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
DBRX Base Databricks 32768 $2.63 69.1
Mixtral Mistral AI 65536 $3.48 73.7

Other benchmarks for GPT-5.1 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 278 54th
GPQA Diamond 71.2 235 61th
SWE-bench Verified 63.1 251 58th
MATH-500 79.5 220 63th
AIME 2025 66.1 328 45th
LiveCodeBench 63.9 323 46th
IFEval 82.6 257 57th
TruthfulQA 78.1 253 58th
HellaSwag 85.5 227 62th
MMMU 72.0 243 60th
Arena Elo 1378.2 280 53th

FAQ

What score does GPT-5.1 Nano get on HumanEval?

GPT-5.1 Nano scores 76.1 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-5.1 Nano rank on HumanEval?

It ranks #328 of 600 models, in the 45th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-5.1 Nano good at HumanEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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-5.1 Nano cost?

GPT-5.1 Nano costs $9.56 per million input tokens and $43.06 per million output tokens.

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