Compare · ModelsLive · 2 picked · head to head
o3 vs Gemini 3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Gemini 3 Pro wins on 20/22 benchmarks
Gemini 3 Pro wins 20 of 22 shared benchmarks. Leads in speed · reasoning · math.
Category leads
speed·Gemini 3 Proreasoning·Gemini 3 Promath·Gemini 3 Proknowledge·Gemini 3 Procoding·Gemini 3 Prolanguage·Gemini 3 Pro
Hype vs Reality
Attention vs performance
o3
#67 by perf·no signal
Gemini 3 Pro
#38 by perf·no signal
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Google DeepMind
$4.00T·Tier 1
Head to head
22 benchmarks · 2 models
o3Gemini 3 Pro
Artificial Analysis · Agentic Index
Gemini 3 Pro leads by +9.0
o3
36.1
Gemini 3 Pro
45.0
Artificial Analysis · Coding Index
Gemini 3 Pro leads by +1.0
o3
38.4
Gemini 3 Pro
39.4
Artificial Analysis · Quality Index
Gemini 3 Pro leads by +2.9
o3
38.4
Gemini 3 Pro
41.3
ARC-AGI
Gemini 3 Pro leads by +14.2
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
o3
60.8
Gemini 3 Pro
75.0
ARC-AGI-2
Gemini 3 Pro leads by +24.6
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
o3
6.5
Gemini 3 Pro
31.1
FrontierMath-2025-02-28-Private
Gemini 3 Pro leads by +18.9
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
o3
18.7
Gemini 3 Pro
37.6
FrontierMath-Tier-4-2025-07-01-Private
Gemini 3 Pro leads by +16.7
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
o3
2.1
Gemini 3 Pro
18.8
GeoBench
Gemini 3 Pro leads by +10.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
o3
74.0
Gemini 3 Pro
84.0
GPQA diamond
Gemini 3 Pro leads by +14.4
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
o3
75.8
Gemini 3 Pro
90.2
GSO-Bench
Gemini 3 Pro leads by +9.8
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
o3
8.8
Gemini 3 Pro
18.6
HELM · GPQA
Gemini 3 Pro leads by +5.0
o3
75.3
Gemini 3 Pro
80.3
HELM · IFEval
Gemini 3 Pro leads by +0.7
o3
86.9
Gemini 3 Pro
87.6
HELM · MMLU-Pro
Gemini 3 Pro leads by +4.4
o3
85.9
Gemini 3 Pro
90.3
HELM · Omni-MATH
o3 leads by +15.8
o3
71.4
Gemini 3 Pro
55.6
HELM · WildBench
o3 leads by +0.2
o3
86.1
Gemini 3 Pro
85.9
HLE
Gemini 3 Pro leads by +18.1
HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains.
o3
16.3
Gemini 3 Pro
34.4
OTIS Mock AIME 2024-2025
Gemini 3 Pro leads by +7.5
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
o3
83.9
Gemini 3 Pro
91.4
SimpleBench
Gemini 3 Pro leads by +28.0
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
o3
43.7
Gemini 3 Pro
71.7
SimpleQA Verified
Gemini 3 Pro leads by +19.9
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
o3
53.0
Gemini 3 Pro
72.9
SWE-Bench verified
Gemini 3 Pro leads by +10.6
o3
62.3
Gemini 3 Pro
72.9
VPCT
Gemini 3 Pro leads by +58.5
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
o3
28.0
Gemini 3 Pro
86.5
WeirdML
Gemini 3 Pro leads by +17.5
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
o3
52.4
Gemini 3 Pro
69.9
Full benchmark table
| Benchmark | o3 | Gemini 3 Pro |
|---|---|---|
Artificial Analysis · Agentic Index | 36.1 | 45.0 |
Artificial Analysis · Coding Index | 38.4 | 39.4 |
Artificial Analysis · Quality Index | 38.4 | 41.3 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 60.8 | 75.0 |
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. | 6.5 | 31.1 |
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. | 18.7 | 37.6 |
FrontierMath-Tier-4-2025-07-01-Private FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning. | 2.1 | 18.8 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 74.0 | 84.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 75.8 | 90.2 |
GSO-Bench GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues. | 8.8 | 18.6 |
HELM · GPQA | 75.3 | 80.3 |
HELM · IFEval | 86.9 | 87.6 |
HELM · MMLU-Pro | 85.9 | 90.3 |
HELM · Omni-MATH | 71.4 | 55.6 |
HELM · WildBench | 86.1 | 85.9 |
HLE HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains. | 16.3 | 34.4 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 83.9 | 91.4 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 43.7 | 71.7 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 53.0 | 72.9 |
SWE-Bench verified | 62.3 | 72.9 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 28.0 | 86.5 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 52.4 | 69.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $8.00 | 200K tokens (~100 books) | $35.00 | |
| — | — | — | — |