Reasoning · Google DeepMind

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

Gemini 3 Flash Mini scores 73.8 on GPQA Diamond, placing it #174 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.8
0–100 scale
Rank
#174
of 600
Percentile
71th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Gemini 3 Flash Mini 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 Mini sits at #174 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.2 points. The median model in this index scores 68.8, which puts Gemini 3 Flash Mini above the midpoint.

Google DeepMind models average 73.4 on this benchmark. Gemini 3 Flash Mini is 0.4 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 Mini is 0.3 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 73.8 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 $10.71 per million input tokens, Gemini 3 Flash Mini 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
Hunyuan-Turbo Tencent 128000 $10.55 75.8
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Nova Pro Amazon 32768 $12.75 79.4
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Magistral Instruct Mistral AI 65536 $4.48 78.4

Other benchmarks for Gemini 3 Flash Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.8 216 64th
SWE-bench Verified 61.4 292 51th
HumanEval 80.1 229 62th
MATH-500 78.9 237 61th
AIME 2025 74.3 169 72th
LiveCodeBench 69.1 206 66th
IFEval 83.6 222 63th
TruthfulQA 79.8 186 69th
HellaSwag 84.1 275 54th
MMMU 72.6 229 62th
Arena Elo 1406.3 191 68th

FAQ

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

Gemini 3 Flash Mini scores 73.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Gemini 3 Flash Mini rank on GPQA Diamond?

It ranks #174 of 600 models, in the 71st percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Gemini 3 Flash Mini 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 Mini cost?

Gemini 3 Flash Mini costs $10.71 per million input tokens and $48.11 per million output tokens.

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