Compare · ModelsLive · 2 picked · head to head
Gemini 3.6 Flash vs o3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3.6 Flash wins on 4/5 benchmarks
Gemini 3.6 Flash wins 4 of 5 shared benchmarks. Leads in reasoning · general.
Category leads
reasoning·Gemini 3.6 Flashgeneral·Gemini 3.6 Flashcoding·o3 Pro
Hype vs Reality
Attention vs performance
Gemini 3.6 Flash
#91 by perf·#5 by attention
o3 Pro
#42 by perf·no signal
Best value
Gemini 3.6 Flash
19.5x better value than o3 Pro
Gemini 3.6 Flash
23.9 pts/$
$2.25/M
o3 Pro
1.2 pts/$
$50.00/M
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
5 benchmarks · 2 models
Gemini 3.6 Flasho3 Pro
ARC-AGI
Gemini 3.6 Flash leads by +31.8
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Gemini 3.6 Flash
91.2
o3 Pro
59.3
ARC-AGI-2
Gemini 3.6 Flash leads by +55.6
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
Gemini 3.6 Flash
60.4
o3 Pro
4.9
Dtbench
Gemini 3.6 Flash leads by +14.2
Gemini 3.6 Flash
92.5
o3 Pro
78.2
Lmca
Gemini 3.6 Flash leads by +7.6
Gemini 3.6 Flash
52.9
o3 Pro
45.3
WeirdML
o3 Pro leads by +2.1
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 3.6 Flash
56.1
o3 Pro
58.2
Full benchmark table
| Benchmark | Gemini 3.6 Flash | o3 Pro |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 91.2 | 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. | 60.4 | 4.9 |
Dtbench | 92.5 | 78.2 |
Lmca | 52.9 | 45.3 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 56.1 | 58.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.75 | $3.75 | 1.0M tokens (~524 books) | $15.00 | |
| $20.00 | $80.00 | 200K tokens (~100 books) | $350.00 |