Compare · ModelsLive · 2 picked · head to head
o3 Mini vs o4 Mini
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
o4 Mini wins on 15/15 benchmarks
o4 Mini wins 15 of 15 shared benchmarks. Leads in coding · reasoning · knowledge.
Category leads
coding·o4 Minireasoning·o4 Miniknowledge·o4 Minimath·o4 Mini
Hype vs Reality
Attention vs performance
o3 Mini
#149 by perf·no signal
o4 Mini
#79 by perf·#13 by attention
Best value
o4 Mini
1.4x better value than o3 Mini
o3 Mini
14.0 pts/$
$2.75/M
o4 Mini
19.3 pts/$
$2.75/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
15 benchmarks · 2 models
o3 Minio4 Mini
Aider polyglot
o4 Mini leads by +11.6
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
o3 Mini
60.4
o4 Mini
72.0
ARC-AGI
o4 Mini leads by +24.2
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
o3 Mini
34.5
o4 Mini
58.7
ARC-AGI-2
o4 Mini leads by +3.1
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
o3 Mini
3.0
o4 Mini
6.1
CadEval
o4 Mini leads by +8.0
CadEval · evaluates the ability to generate and reason about Computer-Aided Design code, testing spatial reasoning and engineering knowledge.
o3 Mini
54.0
o4 Mini
62.0
Chess Puzzles
o4 Mini leads by +9.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
o3 Mini
17.0
o4 Mini
26.0
Fiction.LiveBench
o4 Mini leads by +27.8
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
o3 Mini
50.0
o4 Mini
77.8
FrontierMath-2025-02-28-Private
o4 Mini leads by +12.4
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
o3 Mini
12.4
o4 Mini
24.8
FrontierMath-Tier-4-2025-07-01-Private
o4 Mini 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 Mini
4.2
o4 Mini
6.3
GPQA diamond
o4 Mini leads by +3.5
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
o3 Mini
69.4
o4 Mini
72.8
GSO-Bench
o4 Mini leads by +2.3
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
o3 Mini
1.3
o4 Mini
3.6
Lech Mazur Writing
o4 Mini leads by +13.3
Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication.
o3 Mini
61.7
o4 Mini
75.0
MATH level 5
o4 Mini leads by +1.3
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
o3 Mini
96.5
o4 Mini
97.8
OTIS Mock AIME 2024-2025
o4 Mini leads by +4.7
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
o3 Mini
76.9
o4 Mini
81.7
SimpleBench
o4 Mini leads by +19.1
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
o3 Mini
7.4
o4 Mini
26.4
WeirdML
o4 Mini leads by +8.9
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
o3 Mini
43.7
o4 Mini
52.6
Full benchmark table
| Benchmark | o3 Mini | o4 Mini |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 60.4 | 72.0 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 34.5 | 58.7 |
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. | 3.0 | 6.1 |
CadEval CadEval · evaluates the ability to generate and reason about Computer-Aided Design code, testing spatial reasoning and engineering knowledge. | 54.0 | 62.0 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 17.0 | 26.0 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 50.0 | 77.8 |
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. | 12.4 | 24.8 |
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 | 6.3 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 69.4 | 72.8 |
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. | 1.3 | 3.6 |
Lech Mazur Writing Lech Mazur Writing · evaluates creative writing ability, assessing prose quality, narrative coherence, and stylistic sophistication. | 61.7 | 75.0 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 96.5 | 97.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 76.9 | 81.7 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 7.4 | 26.4 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 43.7 | 52.6 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
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