Claude 3.7 Sonnet vs Claude Opus 4.1
We don't benchmark Claude 3.7 Sonnet or Claude Opus 4.1 on Vision Evals. Both are proprietary under Proprietary, so commercial use per vendor terms.
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Claude 3.7 Sonnet is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude Opus 4.1 is deprecated and can no longer be run. Details and evals are still available on its model page.
Claude 3.7 Sonnet vs Claude Opus 4.1 Comparison Table
Pricing updated November 1, 2026
| Property | Claude 3.7 Sonnet | Claude Opus 4.1 |
|---|---|---|
| Organization | Anthropic | Anthropic |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Feb 2024 | Aug 2025 |
| Context Window | 200K | 200K |
| Parameters | Unknown | Unknown |
| License | Proprietary | Proprietary |
| Commercial use | commercial use per vendor terms | commercial use per vendor terms |
| Pricing per 1M tokens | ||
| Input $/1M | No published price | $15.00 |
| Output $/1M | No published price | $75.00 |
| Vision Tasks | ||
| Model Features | ||
Both support 3 more features | ||
Claude 3.7 Sonnet vs Claude Opus 4.1: Overview
Claude 3.7 Sonnet, released by Anthropic in February 2025, is the company’s first hybrid reasoning model, combining fast response generation with an optional “extended thinking mode” that reveals longer, step-by-step reasoning. Like its predecessors, it is multimodal, handling both text and images, but expands its usability with up to 200,000 input tokens and up to 128,000 output tokens (64K generally available, 128K in beta). This makes it well-suited for analyzing large documents, codebases, or multi-turn conversations.
Typical applications include software development, research workflows, extended reasoning tasks, and enterprise-scale knowledge work where a trade-off between speed and visible reasoning is valuable.
Claude 4.1 Opus, released by Anthropic in August 2025, is the upgraded flagship of the Claude 4 family, building on Opus 4 with stronger reasoning and agentic capabilities. Like its predecessor, it is multimodal and optimized for text, code, and tool use, with support for large context windows suited to multi-file codebases, technical workflows, and long-horizon problem solving.
It demonstrates more precise debugging, refactoring, and orchestration of agentic tasks while maintaining similar safety and alignment safeguards. It is best suited for enterprise-scale software development, research automation, and advanced reasoning workflows where reliability and depth of analysis are critical.