Compare · ModelsLive · 3 picked · head to head
GPT-5 vs Grok 4 vs o3 Pro
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-5 wins on 21/29 benchmarks
GPT-5 wins 21 of 29 shared benchmarks. Leads in coding · knowledge · agentic.
Category leads
coding·GPT-5reasoning·Grok 4knowledge·GPT-5agentic·GPT-5general·GPT-5math·GPT-5language·Grok 4
Hype vs Reality
Attention vs performance
GPT-5
#100 by perf·#4 by attention
Grok 4
#87 by perf·#15 by attention
o3 Pro
#42 by perf·no signal
Best value
GPT-5
7.7x better value than o3 Pro
GPT-5
9.4 pts/$
$5.63/M
Grok 4
n/a
no price
o3 Pro
1.2 pts/$
$50.00/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
xAI
$250.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
29 benchmarks · 3 models
GPT-5Grok 4o3 Pro
Aider polyglot
GPT-5 leads by +3.1
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
GPT-5
88.0
Grok 4
79.6
o3 Pro
84.9
ARC-AGI
Grok 4 leads by +1.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-5
65.7
Grok 4
66.7
o3 Pro
59.3
ARC-AGI-2
Grok 4 leads by +6.1
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-5
9.9
Grok 4
16.0
o3 Pro
4.9
Fiction.LiveBench
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
GPT-5
97.2
Grok 4
94.4
o3 Pro
97.2
Lech Mazur Writing
GPT-5 leads by +1.6
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
GPT-5
86.0
Grok 4
76.9
o3 Pro
84.4
WeirdML
GPT-5 leads by +2.5
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-5
60.7
Grok 4
45.7
o3 Pro
58.2
APEX-Agents
GPT-5 leads by +3.1
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
GPT-5
18.3
Grok 4
15.2
Balrog
Grok 4 leads by +10.8
Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning.
GPT-5
32.8
Grok 4
43.6
Chess Puzzles
GPT-5 leads by +9.5
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
GPT-5
33.7
Grok 4
24.2
DeepResearch Bench
GPT-5 leads by +2.3
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
GPT-5
49.6
Grok 4
47.3
Dtbench
GPT-5 leads by +6.2
GPT-5
84.5
o3 Pro
78.2
FrontierMath-2025-02-28-Private
Grok 4 leads by +2.1
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
GPT-5
32.4
Grok 4
34.5
FrontierMath-Tier-4-2025-07-01-Private
GPT-5 leads by +9.0
FrontierMath Tier 4 (Jul 2025) · the most challenging tier of frontier mathematics, containing problems that push the absolute limits of AI mathematical reasoning.
GPT-5
12.5
Grok 4
3.5
Gdpval
GPT-5 leads by +13.7
GPT-5
34.8
Grok 4
21.1
GeoBench
GPT-5 leads by +36.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
GPT-5
81.0
Grok 4
45.0
GPQA diamond
Grok 4 leads by +1.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-5
81.6
Grok 4
82.7
HELM · GPQA
GPT-5 leads by +6.5
GPT-5
79.1
Grok 4
72.6
HELM · IFEval
Grok 4 leads by +7.4
GPT-5
87.5
Grok 4
94.9
HELM · MMLU-Pro
GPT-5 leads by +1.2
GPT-5
86.3
Grok 4
85.1
HELM · Omni-MATH
GPT-5 leads by +4.4
GPT-5
64.7
Grok 4
60.3
HELM · WildBench
GPT-5 leads by +6.0
GPT-5
85.7
Grok 4
79.7
Lmca
GPT-5 leads by +1.8
GPT-5
47.0
o3 Pro
45.3
Metr Time Horizons
GPT-5 leads by +3.0
GPT-5
69.6
Grok 4
66.6
OTIS Mock AIME 2024-2025
GPT-5 leads by +7.4
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-5
91.4
Grok 4
84.0
Professional Reasoning · Finance
GPT-5 leads by +2.2
GPT-5
51.3
o3 Pro
49.1
Professional Reasoning · Legal
o3 Pro leads by +0.7
GPT-5
49.0
o3 Pro
49.7
SimpleBench
Grok 4 leads by +4.6
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
GPT-5
48.0
Grok 4
52.6
SimpleQA Verified
GPT-5 leads by +2.2
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
GPT-5
50.1
Grok 4
47.9
Terminal Bench
GPT-5 leads by +22.4
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
GPT-5
49.6
Grok 4
27.2
Full benchmark table
| Benchmark | GPT-5 | Grok 4 | o3 Pro |
|---|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 88.0 | 79.6 | 84.9 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 65.7 | 66.7 | 59.3 |
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. | 9.9 | 16.0 | 4.9 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 97.2 | 94.4 | 97.2 |
Lech Mazur Writing Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication. | 86.0 | 76.9 | 84.4 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 60.7 | 45.7 | 58.2 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 18.3 | 15.2 | — |
Balrog Balrog · benchmarks AI agents on text-based adventure games, testing language understanding, strategic planning, and long-horizon reasoning. | 32.8 | 43.6 | — |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 33.7 | 24.2 | — |
DeepResearch Bench DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses. | 49.6 | 47.3 | — |
Dtbench | 84.5 | — | 78.2 |
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. | 32.4 | 34.5 | — |
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. | 12.5 | 3.5 | — |
Gdpval | 34.8 | 21.1 | — |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 81.0 | 45.0 | — |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 81.6 | 82.7 | — |
HELM · GPQA | 79.1 | 72.6 | — |
HELM · IFEval | 87.5 | 94.9 | — |
HELM · MMLU-Pro | 86.3 | 85.1 | — |
HELM · Omni-MATH | 64.7 | 60.3 | — |
HELM · WildBench | 85.7 | 79.7 | — |
Lmca | 47.0 | — | 45.3 |
Metr Time Horizons | 69.6 | 66.6 | — |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 91.4 | 84.0 | — |
Professional Reasoning · Finance | 51.3 | — | 49.1 |
Professional Reasoning · Legal | 49.0 | — | 49.7 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 48.0 | 52.6 | — |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 50.1 | 47.9 | — |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 49.6 | 27.2 | — |
Pricing · per 1M tokens · projected $/mo at 10M tokens