Compare · ModelsLive · 2 picked · head to head
o1 vs Gemini 3 Flash Preview
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3 Flash Preview wins on 7/8 benchmarks
Gemini 3 Flash Preview wins 7 of 8 shared benchmarks. Leads in math · knowledge · coding.
Category leads
reasoning·o1math·Gemini 3 Flash Previewknowledge·Gemini 3 Flash Previewcoding·Gemini 3 Flash Preview
Hype vs Reality
Attention vs performance
o1
#59 by perf·no signal
Gemini 3 Flash Preview
#98 by perf·no signal
Best value
Gemini 3 Flash Preview
18.7x better value than o1
o1
1.5 pts/$
$37.50/M
Gemini 3 Flash Preview
28.1 pts/$
$1.75/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Google DeepMind
$4.00T·Tier 1
Head to head
8 benchmarks · 2 models
o1Gemini 3 Flash Preview
ARC-AGI
o1 leads by +9.2
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
o1
30.7
Gemini 3 Flash Preview
21.5
FrontierMath-2025-02-28-Private
Gemini 3 Flash Preview leads by +26.3
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
o1
9.3
Gemini 3 Flash Preview
35.6
GeoBench
Gemini 3 Flash Preview leads by +8.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
o1
80.0
Gemini 3 Flash Preview
88.0
GPQA diamond
Gemini 3 Flash Preview leads by +8.6
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
o1
69.0
Gemini 3 Flash Preview
77.6
OTIS Mock AIME 2024-2025
Gemini 3 Flash Preview leads by +19.5
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
o1
73.3
Gemini 3 Flash Preview
92.8
SimpleBench
Gemini 3 Flash Preview leads by +25.2
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
o1
28.1
Gemini 3 Flash Preview
53.3
VPCT
Gemini 3 Flash Preview leads by +53.4
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
o1
5.5
Gemini 3 Flash Preview
58.9
WeirdML
Gemini 3 Flash Preview leads by +17.8
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
o1
43.8
Gemini 3 Flash Preview
61.6
Full benchmark table
| Benchmark | o1 | Gemini 3 Flash Preview |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 30.7 | 21.5 |
FrontierMath-2025-02-28-Private FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning. | 9.3 | 35.6 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 80.0 | 88.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 69.0 | 77.6 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 73.3 | 92.8 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 28.1 | 53.3 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 5.5 | 58.9 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 43.8 | 61.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $15.00 | $60.00 | 200K tokens (~100 books) | $262.50 | |
| $0.50 | $3.00 | 1.0M tokens (~524 books) | $11.25 |