Preference · Google DeepMind

Gemini 3 Pro Max on Arena Elo: score, rank and what it means

Gemini 3 Pro Max scores 1477.5 on Arena Elo, placing it #24 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1477.5
0–100 scale
Rank
#24
of 600
Percentile
96th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
24.4
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Gemini 3 Pro Max highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Gemini 3 Pro Max sits at #24 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 24.4 points. The median model in this index scores 1373.8, which puts Gemini 3 Pro Max above the midpoint.

Google DeepMind models average 1412.2 on this benchmark. Gemini 3 Pro Max is 65.3 points above that provider line, so it is a stronger result than the average Google DeepMind model.

Among frontier models, the average is 1469.8. Gemini 3 Pro Max is 7.7 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 1477.5 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 $20.57 per million input tokens, Gemini 3 Pro Max is above the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
Claude Sonnet 4.5 Anthropic 400000 $17.84 86.0
GPT-5.1 Max OpenAI 2000000 $20.50 87.9
GPT-5.2 OpenAI 2000000 $19.71 88.0
Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
Grok 3 Max xAI 2000000 $17.66 85.9
Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

Other benchmarks for Gemini 3 Pro Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 89.5 10 98th
GPQA Diamond 81.8 33 95th
SWE-bench Verified 76.6 24 96th
HumanEval 91.9 24 96th
MATH-500 92.1 19 97th
AIME 2025 89.6 8 99th
LiveCodeBench 83.6 10 98th
IFEval 94.7 7 99th
TruthfulQA 89.6 6 99th
HellaSwag 92.6 31 95th
MMMU 84.4 11 98th

FAQ

What score does Gemini 3 Pro Max get on Arena Elo?

Gemini 3 Pro Max scores 1477.5 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Gemini 3 Pro Max rank on Arena Elo?

It ranks #24 of 600 models, in the 96th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Gemini 3 Pro Max good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Max cost?

Gemini 3 Pro Max costs $20.57 per million input tokens and $112.92 per million output tokens.

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