Compare · ModelsLive · 2 picked · head to head
Gemini 3.1 Pro Preview vs o3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.1 Pro Preview wins on 3/3 benchmarks
Gemini 3.1 Pro Preview wins 3 of 3 shared benchmarks. Leads in reasoning · coding.
Category leads
reasoning·Gemini 3.1 Pro Previewcoding·Gemini 3.1 Pro Preview
Hype vs Reality
Attention vs performance
Gemini 3.1 Pro Preview
#36 by perf·no signal
o3 Pro
#33 by perf·no signal
Best value
Gemini 3.1 Pro Preview
7.1x better value than o3 Pro
Gemini 3.1 Pro Preview
8.7 pts/$
$7.00/M
o3 Pro
1.2 pts/$
$50.00/M
Vendor risk
Who is behind the model
Google DeepMind
$4.00T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
3 benchmarks · 2 models
Gemini 3.1 Pro Previewo3 Pro
ARC-AGI
Gemini 3.1 Pro Preview leads by +38.7
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 3.1 Pro Preview
98.0
o3 Pro
59.3
ARC-AGI-2
Gemini 3.1 Pro Preview leads by +72.2
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 3.1 Pro Preview
77.1
o3 Pro
4.9
WeirdML
Gemini 3.1 Pro Preview leads by +13.9
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 3.1 Pro Preview
72.1
o3 Pro
58.2
Full benchmark table
| Benchmark | Gemini 3.1 Pro Preview | o3 Pro |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 98.0 | 59.3 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 77.1 | 4.9 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 72.1 | 58.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $12.00 | 1.0M tokens (~524 books) | $45.00 | |
| $20.00 | $80.00 | 200K tokens (~100 books) | $350.00 |