Reasoning · Google DeepMind

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

Gemini 3 Flash scores 80.3 on GPQA Diamond, placing it #52 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
80.3
0–100 scale
Rank
#52
of 600
Percentile
91th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
6.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Gemini 3 Flash 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 sits at #52 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 6.7 points. The median model in this index scores 68.8, which puts Gemini 3 Flash above the midpoint.

Google DeepMind models average 73.4 on this benchmark. Gemini 3 Flash is 6.9 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among multimodal models, the average is 73.5. Gemini 3 Flash is 6.8 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 80.3 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 $15.67 per million input tokens, Gemini 3 Flash 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
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
Claude 3.7 Sonnet Pro Anthropic 128000 $16.07 83.3
Gemini 3 Pro Vision Google DeepMind 200000 $17.59 85.5
Claude Haiku 4.5 Max Anthropic 200000 $15.98 83.8
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

Other benchmarks for Gemini 3 Flash

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 87 86th
SWE-bench Verified 72.5 66 89th
HumanEval 86.2 100 83th
MATH-500 89.0 59 90th
AIME 2025 84.5 44 93th
LiveCodeBench 79.3 51 92th
IFEval 91.0 54 91th
TruthfulQA 84.8 66 89th
HellaSwag 89.8 91 85th
MMMU 78.2 92 85th
Arena Elo 1450.7 71 88th

FAQ

What score does Gemini 3 Flash get on GPQA Diamond?

Gemini 3 Flash scores 80.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Gemini 3 Flash rank on GPQA Diamond?

It ranks #52 of 600 models, in the 91st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Gemini 3 Flash 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 cost?

Gemini 3 Flash costs $15.67 per million input tokens and $70.15 per million output tokens.

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