Reasoning · Google DeepMind

Gemini 3 Flash Pro on GPQA Diamond: score, rank and what it means

Gemini 3 Flash Pro scores 77.7 on GPQA Diamond, placing it #93 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
77.7
0–100 scale
Rank
#93
of 600
Percentile
85th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
9.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Gemini 3 Flash 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, Gemini 3 Flash Pro sits at #93 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 9.3 points. The median model in this index scores 68.8, which puts Gemini 3 Flash Pro above the midpoint.

Google DeepMind models average 73.4 on this benchmark. Gemini 3 Flash Pro is 4.3 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 3 Flash Pro is 3.8 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 77.7 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 $17.71 per million input tokens, Gemini 3 Flash 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
DeepSeek-R1 DeepSeek 128000 $5.83 82.8
GPT-4.1 Reasoning OpenAI 1000000 $16.97 83.8
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
o3 Vision OpenAI 1000000 $15.24 81.8
Gemini 3 Flash Pro Google DeepMind 400000 $17.71 84.8
Qwen3 Alibaba Cloud 128000 $5.04 80.3
o3 Turbo OpenAI 200000 $16.63 83.4

Other benchmarks for Gemini 3 Flash Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 87.0 35 94th
SWE-bench Verified 73.3 61 90th
HumanEval 89.9 47 92th
MATH-500 91.8 26 96th
AIME 2025 79.9 90 85th
LiveCodeBench 80.2 42 93th
IFEval 92.8 22 96th
TruthfulQA 86.2 48 92th
HellaSwag 90.6 74 88th
MMMU 83.0 22 96th
Arena Elo 1469.2 35 94th

FAQ

What score does Gemini 3 Flash Pro get on GPQA Diamond?

Gemini 3 Flash Pro scores 77.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Gemini 3 Flash Pro rank on GPQA Diamond?

It ranks #93 of 600 models, in the 85th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Gemini 3 Flash 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 Gemini 3 Flash Pro cost?

Gemini 3 Flash Pro costs $17.71 per million input tokens and $86.50 per million output tokens.

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