Mathematics · Google DeepMind

Gemini 3 Pro Nano on AIME 2025: score, rank and what it means

Gemini 3 Pro Nano scores 64.6 on AIME 2025, placing it #344 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
64.6
0–100 scale
Rank
#344
of 600
Percentile
43th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
26.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Gemini 3 Pro Nano highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Gemini 3 Pro Nano sits at #344 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 26.8 points. The median model in this index scores 67.6, which puts Gemini 3 Pro Nano below the midpoint.

Google DeepMind models average 74.8 on this benchmark. Gemini 3 Pro Nano is 10.2 points below that provider line, so it is a weaker result than the average Google DeepMind model.

Among mid-range models, the average is 60.1. Gemini 3 Pro Nano is 4.5 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 64.6 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 $9.11 per million input tokens, Gemini 3 Pro Nano is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto Turbo OpenRouter 65536 $7.96 70.9
Llama 3.1 Base Meta AI 32768 $3.39 72.2
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7
Arctic Snowflake 8192 $2.72 68.8
Gemini 3 Pro Nano Google DeepMind 8192 $9.11 73.2
Llama 3 Lambda Base Lambda 8192 $3.19 72.9
Phi-3.5 Chat Microsoft 16384 $2.64 69.0

Other benchmarks for Gemini 3 Pro Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 73.8 357 41th
GPQA Diamond 69.4 282 53th
SWE-bench Verified 61.2 296 51th
HumanEval 77.7 293 51th
MATH-500 78.3 251 58th
LiveCodeBench 66.6 260 57th
IFEval 82.6 258 57th
TruthfulQA 77.0 281 53th
HellaSwag 81.9 350 42th
MMMU 71.8 250 58th
Arena Elo 1367.4 326 46th

FAQ

What score does Gemini 3 Pro Nano get on AIME 2025?

Gemini 3 Pro Nano scores 64.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Gemini 3 Pro Nano rank on AIME 2025?

It ranks #344 of 600 models, in the 43rd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Gemini 3 Pro Nano good at AIME 2025?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the AIME 2025 score calculated?

AIME 2025 is a mathematics 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 Pro Nano cost?

Gemini 3 Pro Nano costs $9.11 per million input tokens and $48.26 per million output tokens.

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