Mathematics · Google DeepMind

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

Gemini 3 Pro scores 84.3 on AIME 2025, placing it #46 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
84.3
0–100 scale
Rank
#46
of 600
Percentile
92th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
7.1
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Gemini 3 Pro 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 sits at #46 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 7.1 points. The median model in this index scores 67.6, which puts Gemini 3 Pro above the midpoint.

Google DeepMind models average 74.8 on this benchmark. Gemini 3 Pro is 9.5 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among frontier models, the average is 84.9. Gemini 3 Pro is 0.6 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 84.3 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 $18.24 per million input tokens, Gemini 3 Pro 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
o4 Max OpenAI 2000000 $19.51 86.2
GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
o3 OpenAI 400000 $16.80 84.5
Gemini 3 Pro Google DeepMind 2000000 $18.24 86.1
Gemini 2.5 Pro Reasoning Google DeepMind 128000 $16.81 83.8
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1

Other benchmarks for Gemini 3 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 88.2 13 98th
GPQA Diamond 79.0 72 88th
SWE-bench Verified 78.5 12 98th
HumanEval 91.8 26 96th
MATH-500 89.9 49 92th
LiveCodeBench 83.3 13 98th
IFEval 93.7 14 98th
TruthfulQA 88.8 13 98th
HellaSwag 91.3 53 91th
MMMU 78.6 82 86th
Arena Elo 1460.7 52 91th

FAQ

What score does Gemini 3 Pro get on AIME 2025?

Gemini 3 Pro scores 84.3 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Gemini 3 Pro rank on AIME 2025?

It ranks #46 of 600 models, in the 92nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Gemini 3 Pro good at AIME 2025?

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 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 cost?

Gemini 3 Pro costs $18.24 per million input tokens and $82.93 per million output tokens.

Related