Compare · ModelsLive · 2 picked · head to head
Gemini 2.5 Pro vs GPT-5
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5 wins on 18/22 benchmarks
GPT-5 wins 18 of 22 shared benchmarks. Leads in coding · reasoning · knowledge.
Category leads
coding·GPT-5reasoning·GPT-5knowledge·GPT-5math·GPT-5
Hype vs Reality
Attention vs performance
Gemini 2.5 Pro
#59 by perf·no signal
GPT-5
#72 by perf·no signal
Best value
Gemini 2.5 Pro
1.0x better value than GPT-5
Gemini 2.5 Pro
10.0 pts/$
$5.63/M
GPT-5
9.7 pts/$
$5.63/M
Vendor risk
Who is behind the model
Google DeepMind
$4.00T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
22 benchmarks · 2 models
Gemini 2.5 ProGPT-5
Aider polyglot
GPT-5 leads by +4.9
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
GPT-5
88.0
ARC-AGI
GPT-5 leads by +24.7
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
GPT-5
65.7
ARC-AGI-2
GPT-5 leads by +5.0
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
GPT-5
9.9
Balrog
Gemini 2.5 Pro leads by +10.5
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
Gemini 2.5 Pro
43.3
GPT-5
32.8
Chess Puzzles
GPT-5 leads by +17.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
Gemini 2.5 Pro
20.0
GPT-5
37.0
DeepResearch Bench
GPT-5 leads by +5.4
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
Gemini 2.5 Pro
49.7
GPT-5
55.1
Fiction.LiveBench
GPT-5 leads by +5.5
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
GPT-5
97.2
FrontierMath-2025-02-28-Private
GPT-5 leads by +18.3
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
GPT-5
32.4
FrontierMath-Tier-4-2025-07-01-Private
GPT-5 leads by +8.3
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
GPT-5
12.5
GeoBench
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
Gemini 2.5 Pro
81.0
GPT-5
81.0
GPQA diamond
GPT-5 leads by +1.2
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
GPT-5
81.6
GSO-Bench
GPT-5 leads by +3.0
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
GPT-5
6.9
HLE
GPT-5 leads by +3.9
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
GPT-5
21.6
Lech Mazur Writing
GPT-5 leads by +1.2
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
Gemini 2.5 Pro
86.0
GPT-5
87.2
MATH level 5
GPT-5 leads by +2.6
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
GPT-5
98.1
OTIS Mock AIME 2024-2025
GPT-5 leads by +6.7
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 2.5 Pro
84.7
GPT-5
91.4
SimpleBench
Gemini 2.5 Pro leads by +6.8
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Gemini 2.5 Pro
54.9
GPT-5
48.0
SimpleQA Verified
Gemini 2.5 Pro leads by +5.4
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
GPT-5
50.6
SWE-Bench verified
GPT-5 leads by +16.0
Gemini 2.5 Pro
57.6
GPT-5
73.5
Terminal Bench
GPT-5 leads by +17.0
Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency.
Gemini 2.5 Pro
32.6
GPT-5
49.6
VPCT
GPT-5 leads by +29.4
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
GPT-5
49.0
WeirdML
GPT-5 leads by +6.7
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
Gemini 2.5 Pro
54.0
GPT-5
60.7
Full benchmark table
| Benchmark | Gemini 2.5 Pro | GPT-5 |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 83.1 | 88.0 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 41.0 | 65.7 |
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. | 4.9 | 9.9 |
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 43.3 | 32.8 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 20.0 | 37.0 |
DeepResearch Bench DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses. | 49.7 | 55.1 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 91.7 | 97.2 |
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. | 14.1 | 32.4 |
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. | 4.2 | 12.5 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 81.0 | 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. | 80.4 | 81.6 |
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. | 3.9 | 6.9 |
HLE HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains. | 17.7 | 21.6 |
Lech Mazur Writing Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication. | 86.0 | 87.2 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 95.6 | 98.1 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 84.7 | 91.4 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 54.9 | 48.0 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 56.0 | 50.6 |
SWE-Bench verified | 57.6 | 73.5 |
Terminal Bench Terminal Bench · tests the ability to accomplish real-world tasks using terminal commands, evaluating shell scripting and CLI tool proficiency. | 32.6 | 49.6 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 19.6 | 49.0 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 54.0 | 60.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $1.25 | $10.00 | 1.0M tokens (~524 books) | $34.38 | |
| $1.25 | $10.00 | 400K tokens (~200 books) | $34.38 |