Compare · ModelsLive · 2 picked · head to head
Claude Sonnet 4 vs Claude 3.7 Sonnet
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Sonnet 4 wins on 10/18 benchmarks
Claude Sonnet 4 wins 10 of 18 shared benchmarks. Leads in coding · reasoning · math.
Category leads
coding·Claude Sonnet 4reasoning·Claude Sonnet 4knowledge·Claude 3.7 Sonnetmath·Claude Sonnet 4agentic·Claude Sonnet 4
Hype vs Reality
Attention vs performance
Claude Sonnet 4
#117 by perf·no signal
Claude 3.7 Sonnet
#103 by perf·no signal
Best value
Claude 3.7 Sonnet
1.1x better value than Claude Sonnet 4
Claude Sonnet 4
5.0 pts/$
$9.00/M
Claude 3.7 Sonnet
5.3 pts/$
$9.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
18 benchmarks · 2 models
Claude Sonnet 4Claude 3.7 Sonnet
Aider polyglot
Claude 3.7 Sonnet leads by +3.6
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
Claude Sonnet 4
61.3
Claude 3.7 Sonnet
64.9
ARC-AGI
Claude Sonnet 4 leads by +11.4
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
Claude Sonnet 4
40.0
Claude 3.7 Sonnet
28.6
ARC-AGI-2
Claude Sonnet 4 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.
Claude Sonnet 4
5.9
Claude 3.7 Sonnet
0.9
Cybench
Claude Sonnet 4 leads by +15.0
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
Claude Sonnet 4
35.0
Claude 3.7 Sonnet
20.0
DeepResearch Bench
Claude Sonnet 4 leads by +4.2
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
Claude Sonnet 4
47.8
Claude 3.7 Sonnet
43.6
Fiction.LiveBench
Claude 3.7 Sonnet leads by +36.4
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
Claude Sonnet 4
46.9
Claude 3.7 Sonnet
83.3
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.
Claude Sonnet 4
4.1
Claude 3.7 Sonnet
4.1
GeoBench
Claude 3.7 Sonnet leads by +31.0
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
Claude Sonnet 4
37.0
Claude 3.7 Sonnet
68.0
GPQA diamond
Claude 3.7 Sonnet leads by +0.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Sonnet 4
72.3
Claude 3.7 Sonnet
73.0
GSO-Bench
Claude Sonnet 4 leads by +1.1
GSO-Bench · evaluates AI models on real-world open-source software engineering tasks, testing the ability to understand and resolve actual GitHub issues.
Claude Sonnet 4
4.9
Claude 3.7 Sonnet
3.8
HLE
Claude 3.7 Sonnet leads by +0.3
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
Claude Sonnet 4
3.1
Claude 3.7 Sonnet
3.4
MATH level 5
Claude 3.7 Sonnet leads by +6.8
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
Claude Sonnet 4
84.4
Claude 3.7 Sonnet
91.2
OSWorld
Claude Sonnet 4 leads by +8.1
OSWorld · tests AI agents on real-world computer tasks across operating systems, including web browsing, file management, and application use.
Claude Sonnet 4
43.9
Claude 3.7 Sonnet
35.8
OTIS Mock AIME 2024-2025
Claude Sonnet 4 leads by +13.3
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Claude Sonnet 4
71.1
Claude 3.7 Sonnet
57.7
SimpleBench
Claude 3.7 Sonnet leads by +1.1
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
Claude Sonnet 4
34.6
Claude 3.7 Sonnet
35.7
SWE-Bench Verified (Bash Only)
Claude Sonnet 4 leads by +12.1
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.
Claude Sonnet 4
64.9
Claude 3.7 Sonnet
52.8
The Agent Company
Claude Sonnet 4 leads by +2.2
The Agent Company · tests AI agents on realistic corporate tasks like email management, code review, data analysis, and cross-tool workflows.
Claude Sonnet 4
33.1
Claude 3.7 Sonnet
30.9
VPCT
Claude 3.7 Sonnet leads by +7.5
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
Claude Sonnet 4
1.0
Claude 3.7 Sonnet
8.5
Full benchmark table
| Benchmark | Claude Sonnet 4 | Claude 3.7 Sonnet |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 61.3 | 64.9 |
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 40.0 | 28.6 |
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. | 5.9 | 0.9 |
Cybench Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning. | 35.0 | 20.0 |
DeepResearch Bench DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses. | 47.8 | 43.6 |
Fiction.LiveBench Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination. | 46.9 | 83.3 |
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. | 4.1 | 4.1 |
GeoBench GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding. | 37.0 | 68.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 72.3 | 73.0 |
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. | 4.9 | 3.8 |
HLE HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%. | 3.1 | 3.4 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 84.4 | 91.2 |
OSWorld OSWorld · tests AI agents on real-world computer tasks across operating systems, including web browsing, file management, and application use. | 43.9 | 35.8 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 71.1 | 57.7 |
SimpleBench SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking. | 34.6 | 35.7 |
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. | 64.9 | 52.8 |
The Agent Company The Agent Company · tests AI agents on realistic corporate tasks like email management, code review, data analysis, and cross-tool workflows. | 33.1 | 30.9 |
VPCT VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations. | 1.0 | 8.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $3.00 | $15.00 | 1.0M tokens (~500 books) | $60.00 | |
| $3.00 | $15.00 | 200K tokens (~100 books) | $60.00 |