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Claude 3.5 Haiku vs Claude Opus 4.1

Compare Claude 3.5 Haiku and Claude Opus 4.1 side-by-side. See how these vision models stack up in Image Captioning, OCR, and Open Prompt.

Compare Claude 3.5 Haiku vs Claude Opus 4.1 live

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AnthropicClaude 3.5 Haiku

Claude 3.5 Haiku is deprecated and can no longer be run. Details and evals are still available on its model page.

AnthropicClaude Opus 4.1

Claude Opus 4.1 is deprecated and can no longer be run. Details and evals are still available on its model page.

Models in this comparison

Claude 3.5 Haiku vs Claude Opus 4.1 Comparison Table

Evals updated August 6, 2026Pricing updated August 7, 2026

PropertyClaude 3.5 HaikuClaude Opus 4.1
OrganizationAnthropicAnthropic
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateOct 2024Aug 2025
Context Window200K200K
Parameters
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$15.00
Output $/1M$75.00
Vision Tasks
Captioning
Chart Question Answering
Classification
Document Question Answering
Image Tagging
Multi-Label Classification
Object Detection
OCR
Vision Language
Visual Question Answering
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision

Claude 3.5 Haiku vs Claude Opus 4.1: Overview

Claude 3.5 Haiku

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 Opus 4.1

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.

On benchmarks, Opus 4.1 improves coding performance, reaching ~74.5% on SWE-Bench Verified compared to Opus 4’s ~72.5%. 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.