Reasoning · OpenAI

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

GPT-5.1 Nano scores 71.2 on GPQA Diamond, placing it #235 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
71.2
0–100 scale
Rank
#235
of 600
Percentile
61th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
15.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with GPT-5.1 Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, GPT-5.1 Nano sits at #235 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 15.8 points. The median model in this index scores 68.8, which puts GPT-5.1 Nano above the midpoint.

OpenAI models average 78.4 on this benchmark. GPT-5.1 Nano is 7.2 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 73.5. GPT-5.1 Nano is 2.3 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 71.2 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 GPQA Diamond. 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 Mini OpenAI 128000 $12.19 77.7
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Llama 3.3 Base Meta AI 32768 $3.63 74.0
Mixtral Mistral AI 65536 $3.48 73.7
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Reka Flash Pro Reka AI 200000 $10.82 75.2
Sonar Perplexity 200000 $10.57 76.0

Other benchmarks for GPT-5.1 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 278 54th
SWE-bench Verified 63.1 251 58th
HumanEval 76.1 328 45th
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 GPQA Diamond?

GPT-5.1 Nano scores 71.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does GPT-5.1 Nano rank on GPQA Diamond?

It ranks #235 of 600 models, in the 61st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is GPT-5.1 Nano good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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