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Compare · ModelsLive · 2 picked · head to head

Gemini 2.5 Pro vs o3

Side by side · benchmarks, pricing, and signals you can act on.

Winner summary

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
Gemini 2.5 Pro
#59 by perf·no signal
QUIET
o3
#67 by perf·no signal
QUIET
Best value
1.1x better value than Gemini 2.5 Pro
Gemini 2.5 Pro
10.0 pts/$
$5.63/M
o3
11.0 pts/$
$5.00/M
Vendor risk
Google DeepMind logo
Google DeepMind
$4.00T·Tier 1
Low risk
OpenAI logo
OpenAI
$840.0B·Tier 1
Medium risk
Head to head
Gemini 2.5 Proo3
Artificial Analysis · Agentic Index
o3 leads by +3.4
Gemini 2.5 Pro
32.7
o3
36.1
Artificial Analysis · Coding Index
o3 leads by +6.4
Gemini 2.5 Pro
31.9
o3
38.4
Artificial Analysis · Quality Index
o3 leads by +3.7
Gemini 2.5 Pro
34.6
o3
38.4
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.
Gemini 2.5 Pro
83.1
o3
81.3
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.
Gemini 2.5 Pro
41.0
o3
60.8
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.
Gemini 2.5 Pro
4.9
o3
6.5
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.
Gemini 2.5 Pro
64.0
o3
74.0
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.
Gemini 2.5 Pro
49.7
o3
46.6
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.
Gemini 2.5 Pro
91.7
o3
88.9
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.
Gemini 2.5 Pro
14.1
o3
18.7
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.
Gemini 2.5 Pro
4.2
o3
2.1
GeoBench
Gemini 2.5 Pro leads by +7.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
Gemini 2.5 Pro
81.0
o3
74.0
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.
Gemini 2.5 Pro
80.4
o3
75.8
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.
Gemini 2.5 Pro
3.9
o3
8.8
HELM · GPQA
o3 leads by +0.4
Gemini 2.5 Pro
74.9
o3
75.3
HELM · IFEval
o3 leads by +2.9
Gemini 2.5 Pro
84.0
o3
86.9
HELM · MMLU-Pro
Gemini 2.5 Pro leads by +0.4
Gemini 2.5 Pro
86.3
o3
85.9
HELM · Omni-MATH
o3 leads by +29.8
Gemini 2.5 Pro
41.6
o3
71.4
HELM · WildBench
o3 leads by +0.4
Gemini 2.5 Pro
85.7
o3
86.1
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.
Gemini 2.5 Pro
17.7
o3
16.3
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.
Gemini 2.5 Pro
86.0
o3
83.9
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.
Gemini 2.5 Pro
95.6
o3
97.8
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.
Gemini 2.5 Pro
84.7
o3
83.9
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.
Gemini 2.5 Pro
54.9
o3
43.7
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.
Gemini 2.5 Pro
56.0
o3
53.0
SWE-Bench verified
o3 leads by +4.8
Gemini 2.5 Pro
57.6
o3
62.3
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.
Gemini 2.5 Pro
19.6
o3
28.0
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.
Gemini 2.5 Pro
54.0
o3
52.4
Full benchmark table
BenchmarkGemini 2.5 Proo3
Artificial Analysis · Agentic Index
32.736.1
Artificial Analysis · Coding Index
31.938.4
Artificial Analysis · Quality Index
34.638.4
Aider polyglot
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
83.181.3
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
41.060.8
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.
4.96.5
CadEval
CadEval · evaluates the ability to generate and reason about Computer-Aided Design code, testing spatial reasoning and engineering knowledge.
64.074.0
DeepResearch Bench
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
49.746.6
Fiction.LiveBench
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
91.788.9
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.
14.118.7
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.
4.22.1
GeoBench
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
81.074.0
GPQA diamond
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
80.475.8
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.
3.98.8
HELM · GPQA
74.975.3
HELM · IFEval
84.086.9
HELM · MMLU-Pro
86.385.9
HELM · Omni-MATH
41.671.4
HELM · WildBench
85.786.1
HLE
HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains.
17.716.3
Lech Mazur Writing
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
86.083.9
MATH level 5
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
95.697.8
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
84.783.9
SimpleBench
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
54.943.7
SimpleQA Verified
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
56.053.0
SWE-Bench verified
57.662.3
VPCT
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
19.628.0
WeirdML
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
54.052.4
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Google DeepMind logoGemini 2.5 Pro$1.25$10.001.0M tokens (~524 books)$34.38
OpenAI logoo3$2.00$8.00200K tokens (~100 books)$35.00