Claude 3.5 Haiku vs Claude Opus 4.1
We don't benchmark Claude 3.5 Haiku or Claude Opus 4.1 on Vision Evals. Both are proprietary under Proprietary, so commercial use per vendor terms.
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Claude 3.5 Haiku 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 3.5 Haiku vs Claude Opus 4.1 Comparison Table
Pricing updated November 4, 2026
| Property | Claude 3.5 Haiku | Claude Opus 4.1 |
|---|---|---|
| Organization | Anthropic | Anthropic |
| Category | closed | closed |
| Modality | multimodal | multimodal |
| Release Date | Oct 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 3.5 Haiku vs Claude Opus 4.1: Overview
Claude 3.5 Haiku, released by Anthropic in October 2024, is the fastest member of the Claude 3.5 family, optimized for low-latency, high-throughput applications. It is a multimodal model that handles both text and image inputs and supports a large ~200,000-token context window. Haiku is designed to balance efficiency with intelligence, outperforming even Claude 3 Opus on several reasoning benchmarks while maintaining its hallmark speed.
Typical applications include real-time chatbots, code completion, large-scale data extraction, and content moderation—scenarios where rapid response and scalability are essential.
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.