Compare · ModelsLive · 2 picked · head to head
GPT-4.1 vs Llama 4 Maverick
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
GPT-4.1 wins on 10/13 benchmarks
GPT-4.1 wins 10 of 13 shared benchmarks. Leads in coding · reasoning · knowledge.
Category leads
coding·GPT-4.1reasoning·GPT-4.1knowledge·GPT-4.1math·GPT-4.1
Hype vs Reality
Attention vs performance
GPT-4.1
#121 by perf·no signal
Llama 4 Maverick
#193 by perf·no signal
Best value
Llama 4 Maverick
8.6x better value than GPT-4.1
GPT-4.1
8.7 pts/$
$5.00/M
Llama 4 Maverick
74.7 pts/$
$0.38/M
Vendor risk
Who is behind the model
OpenAI
$840.0B·Tier 1
Meta AI
$1.50T·Tier 1
Head to head
13 benchmarks · 2 models
GPT-4.1Llama 4 Maverick
Aider polyglot
GPT-4.1 leads by +36.8
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
GPT-4.1
52.4
Llama 4 Maverick
15.6
ARC-AGI
GPT-4.1 leads by +1.1
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
GPT-4.1
5.5
Llama 4 Maverick
4.4
ARC-AGI-2
GPT-4.1 leads by +0.3
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
GPT-4.1
0.4
Llama 4 Maverick
0.1
Fiction.LiveBench
GPT-4.1 leads by +17.7
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
GPT-4.1
63.9
Llama 4 Maverick
46.2
FrontierMath-2025-02-28-Private
GPT-4.1 leads by +4.8
FrontierMath (Feb 2025) · original research-level math problems created by mathematicians, testing capabilities at the boundary of current AI mathematical reasoning.
GPT-4.1
5.5
Llama 4 Maverick
0.7
GeoBench
GPT-4.1 leads by +20.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
GPT-4.1
72.0
Llama 4 Maverick
52.0
GPQA diamond
Llama 4 Maverick leads by +0.1
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
GPT-4.1
55.9
Llama 4 Maverick
56.0
HLE
Llama 4 Maverick leads by +0.3
HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains.
GPT-4.1
0.6
Llama 4 Maverick
0.9
MATH level 5
GPT-4.1 leads by +10.0
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
GPT-4.1
83.0
Llama 4 Maverick
73.0
OTIS Mock AIME 2024-2025
GPT-4.1 leads by +17.8
OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
GPT-4.1
38.3
Llama 4 Maverick
20.5
SimpleBench
Llama 4 Maverick leads by +0.8
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
GPT-4.1
12.4
Llama 4 Maverick
13.2
SWE-Bench Verified (Bash Only)
GPT-4.1 leads by +18.5
SWE-Bench Verified (Bash Only) · a curated subset of SWE-bench where models fix real Python repository bugs using only bash commands, no agent frameworks.
GPT-4.1
39.6
Llama 4 Maverick
21.0
WeirdML
GPT-4.1 leads by +14.6
WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns.
GPT-4.1
39.0
Llama 4 Maverick
24.5
Full benchmark table
| Benchmark | GPT-4.1 | Llama 4 Maverick |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 52.4 | 15.6 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 5.5 | 4.4 |
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. | 0.4 | 0.1 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 63.9 | 46.2 |
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. | 5.5 | 0.7 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 72.0 | 52.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 55.9 | 56.0 |
HLE HLE (Humanity's Last Exam) · crowdsourced expert-level questions designed to be among the hardest possible challenges for AI systems across all domains. | 0.6 | 0.9 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 83.0 | 73.0 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024–2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 38.3 | 20.5 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 12.4 | 13.2 |
SWE-Bench Verified (Bash Only) SWE-Bench Verified (Bash Only) · a curated subset of SWE-bench where models fix real Python repository bugs using only bash commands, no agent frameworks. | 39.6 | 21.0 |
WeirdML WeirdML · tests models on unusual and adversarial machine learning tasks that require creative problem-solving beyond standard patterns. | 39.0 | 24.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $8.00 | 1.0M tokens (~524 books) | $35.00 | |
| $0.15 | $0.60 | 1.0M tokens (~524 books) | $2.62 |