Reasoning · OpenAI

GPT-4.1 Pro on GPQA Diamond: score, rank and what it means

GPT-4.1 Pro scores 78.2 on GPQA Diamond, placing it #81 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
78.2
0–100 scale
Rank
#81
of 600
Percentile
87th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
8.8
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with GPT-4.1 Pro 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-4.1 Pro sits at #81 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 8.8 points. The median model in this index scores 68.8, which puts GPT-4.1 Pro above the midpoint.

OpenAI models average 78.4 on this benchmark. GPT-4.1 Pro is 0.2 points below that provider line, so it is a weaker result than the average OpenAI model.

Among frontier models, the average is 81.5. GPT-4.1 Pro 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 78.2 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 $17.56 per million input tokens, GPT-4.1 Pro 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
GLM-4.6 Zhipu AI 128000 $5.10 80.2
Nova Pro Max Amazon 1000000 $14.05 81.2
Qwen3-Max Turbo Alibaba Cloud 1000000 $17.70 84.7
o3 OpenAI 400000 $16.80 84.5
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Doubao 1.5 Pro Reasoning ByteDance 128000 $14.56 81.6
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2

Other benchmarks for GPT-4.1 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.9 38 94th
SWE-bench Verified 77.3 21 97th
HumanEval 91.9 23 96th
MATH-500 88.8 61 90th
AIME 2025 82.8 56 91th
LiveCodeBench 76.7 73 88th
IFEval 92.2 34 94th
TruthfulQA 87.7 25 96th
HellaSwag 93.7 16 97th
MMMU 81.5 38 94th
Arena Elo 1449.6 73 88th

FAQ

What score does GPT-4.1 Pro get on GPQA Diamond?

GPT-4.1 Pro scores 78.2 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does GPT-4.1 Pro rank on GPQA Diamond?

It ranks #81 of 600 models, in the 87th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is GPT-4.1 Pro 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-4.1 Pro cost?

GPT-4.1 Pro costs $17.56 per million input tokens and $91.14 per million output tokens.

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