Reasoning · Google DeepMind

Gemini 2.5 Pro Reasoning on GPQA Diamond: score, rank and what it means

Gemini 2.5 Pro Reasoning scores 80.0 on GPQA Diamond, placing it #56 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
80.0
0–100 scale
Rank
#56
of 600
Percentile
91th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
7.0
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Gemini 2.5 Pro Reasoning 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, Gemini 2.5 Pro Reasoning sits at #56 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 7.0 points. The median model in this index scores 68.8, which puts Gemini 2.5 Pro Reasoning above the midpoint.

Google DeepMind models average 73.4 on this benchmark. Gemini 2.5 Pro Reasoning is 6.6 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among frontier models, the average is 81.5. Gemini 2.5 Pro Reasoning is 1.5 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 80.0 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 $16.81 per million input tokens, Gemini 2.5 Pro Reasoning 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
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
o4 Max OpenAI 2000000 $19.51 86.2
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
Gemini 2.5 Pro Reasoning Google DeepMind 128000 $16.81 83.8
Grok 3 xAI 128000 $15.84 82.8
Qwen3-Max Pro Alibaba Cloud 400000 $18.87 86.2

Other benchmarks for Gemini 2.5 Pro Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.8 40 93th
SWE-bench Verified 71.2 93 85th
HumanEval 86.7 94 84th
MATH-500 87.9 68 89th
AIME 2025 84.2 47 92th
LiveCodeBench 74.8 98 84th
IFEval 90.8 59 90th
TruthfulQA 84.0 83 86th
HellaSwag 92.1 42 93th
MMMU 82.8 25 96th
Arena Elo 1472.1 30 95th

FAQ

What score does Gemini 2.5 Pro Reasoning get on GPQA Diamond?

Gemini 2.5 Pro Reasoning scores 80.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Gemini 2.5 Pro Reasoning rank on GPQA Diamond?

It ranks #56 of 600 models, in the 91st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Gemini 2.5 Pro Reasoning 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 Gemini 2.5 Pro Reasoning cost?

Gemini 2.5 Pro Reasoning costs $16.81 per million input tokens and $67.95 per million output tokens.

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