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 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
Claude Sonnet 4
#117 by perf·no signal
QUIET
Claude 3.7 Sonnet
#103 by perf·no signal
QUIET
Best value
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
Anthropic logo
Anthropic
$380.0B·Tier 1
Medium risk
Anthropic logo
Anthropic
$380.0B·Tier 1
Medium risk
Head to head
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
BenchmarkClaude Sonnet 4Claude 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.
61.364.9
ARC-AGI
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
40.028.6
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.
5.90.9
Cybench
Cybench · evaluates AI on real Capture-The-Flag cybersecurity challenges, testing vulnerability analysis, exploitation, and security reasoning.
35.020.0
DeepResearch Bench
DeepResearch Bench · evaluates AI on complex multi-step research tasks requiring information gathering, synthesis, and producing comprehensive analyses.
47.843.6
Fiction.LiveBench
Fiction.LiveBench · a continuously updated benchmark using recently published fiction to test reading comprehension and reasoning, preventing data contamination.
46.983.3
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.
4.14.1
GeoBench
GeoBench · tests geographic knowledge and spatial reasoning across countries, landmarks, coordinates, and geopolitical understanding.
37.068.0
GPQA diamond
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
72.373.0
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.
4.93.8
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%.
3.13.4
MATH level 5
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
84.491.2
OSWorld
OSWorld · tests AI agents on real-world computer tasks across operating systems, including web browsing, file management, and application use.
43.935.8
OTIS Mock AIME 2024-2025
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
71.157.7
SimpleBench
SimpleBench · tests fundamental reasoning capabilities with straightforward problems designed to expose gaps in basic logical and spatial thinking.
34.635.7
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.
64.952.8
The Agent Company
The Agent Company · tests AI agents on realistic corporate tasks like email management, code review, data analysis, and cross-tool workflows.
33.130.9
VPCT
VPCT (Visual Pattern Completion Test) · tests visual reasoning and pattern recognition by having models complete visual sequences and transformations.
1.08.5
Pricing · per 1M tokens · projected $/mo at 10M tokens
ModelInputOutputContextProjected $/mo
Anthropic logoClaude Sonnet 4$3.00$15.001.0M tokens (~500 books)$60.00
Anthropic logoClaude 3.7 Sonnet$3.00$15.00200K tokens (~100 books)$60.00