Reasoning · OpenAI

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

GPT-4.1 scores 76.1 on GPQA Diamond, placing it #118 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
76.1
0–100 scale
Rank
#118
of 600
Percentile
80th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
10.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with GPT-4.1 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 sits at #118 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 10.9 points. The median model in this index scores 68.8, which puts GPT-4.1 above the midpoint.

OpenAI models average 78.4 on this benchmark. GPT-4.1 is 2.3 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-4.1 is 2.6 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 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 $15.71 per million input tokens, GPT-4.1 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
DeepSeek-R1 Base DeepSeek 400000 $5.05 80.1
ERNIE 4.0 Turbo Baidu 65536 $12.00 78.0
Sonar Pro Reasoning Perplexity 128000 $13.94 80.5
Doubao 1.5 Pro Max ByteDance 400000 $14.93 81.2
GPT-4.1 OpenAI 1000000 $15.71 82.4
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
Kimi K2 Base Moonshot AI 65536 $4.82 79.2

Other benchmarks for GPT-4.1

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.2 48 92th
SWE-bench Verified 72.2 74 88th
HumanEval 88.3 68 89th
MATH-500 86.8 82 86th
AIME 2025 79.9 89 85th
LiveCodeBench 77.8 66 89th
IFEval 90.4 63 90th
TruthfulQA 81.8 132 78th
HellaSwag 90.3 77 87th
MMMU 76.3 132 78th
Arena Elo 1432.4 115 81th

FAQ

What score does GPT-4.1 get on GPQA Diamond?

GPT-4.1 scores 76.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does GPT-4.1 rank on GPQA Diamond?

It ranks #118 of 600 models, in the 80th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is GPT-4.1 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 cost?

GPT-4.1 costs $15.71 per million input tokens and $64.52 per million output tokens.

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