Compare · ModelsLive · 2 picked · head to head
o3 vs Gemini 2.5 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
o3 wins on 15/28 benchmarks
o3 wins 15 of 28 shared benchmarks. Leads in speed · coding · reasoning.
Category leads
speed·o3coding·o3reasoning·o3knowledge·Gemini 2.5 Promath·o3language·o3
Hype vs Reality
Attention vs performance
o3
#67 by perf·no signal
Gemini 2.5 Pro
#59 by perf·no signal
Best value
o3
1.1x better value than Gemini 2.5 Pro
o3
11.0 pts/$
$5.00/M
Gemini 2.5 Pro
10.0 pts/$
$5.63/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Google DeepMind
$4.00T·Tier 1
Head to head
28 benchmarks · 2 models
o3Gemini 2.5 Pro
Artificial Analysis · Agentic Index
o3 leads by +3.4
o3
36.1
Gemini 2.5 Pro
32.7
Artificial Analysis · Coding Index
o3 leads by +6.4
o3
38.4
Gemini 2.5 Pro
31.9
Artificial Analysis · Quality Index
o3 leads by +3.7
o3
38.4
Gemini 2.5 Pro
34.6
Aider polyglot
Gemini 2.5 Pro leads by +1.8
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
o3
81.3
Gemini 2.5 Pro
83.1
ARC-AGI
o3 leads by +19.8
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
o3
60.8
Gemini 2.5 Pro
41.0
ARC-AGI-2
o3 leads by +1.7
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 2.5 Pro
4.9
CadEval
o3 leads by +10.0
CadEval · evaluates the ability to generate and reason about Computer-Aided Design code, testing spatial reasoning and engineering knowledge.
o3
74.0
Gemini 2.5 Pro
64.0
DeepResearch Bench
Gemini 2.5 Pro leads by +3.1
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
o3
46.6
Gemini 2.5 Pro
49.7
Fiction.LiveBench
Gemini 2.5 Pro leads by +2.8
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
o3
88.9
Gemini 2.5 Pro
91.7
FrontierMath-2025-02-28-Private
o3 leads by +4.6
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 2.5 Pro
14.1
FrontierMath-Tier-4-2025-07-01-Private
Gemini 2.5 Pro leads by +2.1
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 2.5 Pro
4.2
GeoBench
Gemini 2.5 Pro leads by +7.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
o3
74.0
Gemini 2.5 Pro
81.0
GPQA diamond
Gemini 2.5 Pro leads by +4.6
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 2.5 Pro
80.4
GSO-Bench
o3 leads by +4.9
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 2.5 Pro
3.9
HELM · GPQA
o3 leads by +0.4
o3
75.3
Gemini 2.5 Pro
74.9
HELM · IFEval
o3 leads by +2.9
o3
86.9
Gemini 2.5 Pro
84.0
HELM · MMLU-Pro
Gemini 2.5 Pro leads by +0.4
o3
85.9
Gemini 2.5 Pro
86.3
HELM · Omni-MATH
o3 leads by +29.8
o3
71.4
Gemini 2.5 Pro
41.6
HELM · WildBench
o3 leads by +0.4
o3
86.1
Gemini 2.5 Pro
85.7
HLE
Gemini 2.5 Pro leads by +1.4
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 2.5 Pro
17.7
Lech Mazur Writing
Gemini 2.5 Pro leads by +2.1
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
o3
83.9
Gemini 2.5 Pro
86.0
MATH level 5
o3 leads by +2.2
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
o3
97.8
Gemini 2.5 Pro
95.6
OTIS Mock AIME 2024-2025
Gemini 2.5 Pro leads by +0.8
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
o3
83.9
Gemini 2.5 Pro
84.7
SimpleBench
Gemini 2.5 Pro leads by +11.2
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
o3
43.7
Gemini 2.5 Pro
54.9
SimpleQA Verified
Gemini 2.5 Pro leads by +3.0
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
o3
53.0
Gemini 2.5 Pro
56.0
SWE-Bench verified
o3 leads by +4.8
o3
62.3
Gemini 2.5 Pro
57.6
VPCT
o3 leads by +8.4
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
o3
28.0
Gemini 2.5 Pro
19.6
WeirdML
Gemini 2.5 Pro leads by +1.6
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
o3
52.4
Gemini 2.5 Pro
54.0
Full benchmark table
| Benchmark | o3 | Gemini 2.5 Pro |
|---|---|---|
Artificial Analysis · Agentic Index | 36.1 | 32.7 |
Artificial Analysis · Coding Index | 38.4 | 31.9 |
Artificial Analysis · Quality Index | 38.4 | 34.6 |
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 81.3 | 83.1 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 60.8 | 41.0 |
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 | 4.9 |
CadEval CadEval · evaluates the ability to generate and reason about Computer-Aided Design code, testing spatial reasoning and engineering knowledge. | 74.0 | 64.0 |
DeepResearch Bench DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses. | 46.6 | 49.7 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 88.9 | 91.7 |
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 | 14.1 |
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 | 4.2 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 74.0 | 81.0 |
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 | 80.4 |
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 | 3.9 |
HELM · GPQA | 75.3 | 74.9 |
HELM · IFEval | 86.9 | 84.0 |
HELM · MMLU-Pro | 85.9 | 86.3 |
HELM · Omni-MATH | 71.4 | 41.6 |
HELM · WildBench | 86.1 | 85.7 |
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 | 17.7 |
Lech Mazur Writing Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication. | 83.9 | 86.0 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 97.8 | 95.6 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 83.9 | 84.7 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 43.7 | 54.9 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 53.0 | 56.0 |
SWE-Bench verified | 62.3 | 57.6 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 28.0 | 19.6 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 52.4 | 54.0 |
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 | |
| $1.25 | $10.00 | 1.0M tokens (~524 books) | $34.38 |