Claude Haiku 5.5 Description

Claude Haiku 5.5 is an Anthropic AI model optimized for high-volume applications where latency, efficiency, and reasoning capability are important. Anthropic positions the model for workloads including classification, routing, information extraction, and subagent tasks. Adaptive thinking is enabled by default, allowing Claude Haiku 5.5 to determine when reasoning is useful and how much reasoning to apply to a request. Developers can configure the effort parameter to adjust the balance between response quality, processing speed, and cost. The model has a 1 million token context window, compared with 200,000 tokens for Claude Haiku 4.5, enabling it to process substantially larger prompts and datasets. Its maximum output length has also increased from 64,000 to 128,000 tokens, with thinking tokens counting toward the configured output limit. Claude Haiku 5.5 includes browser use capabilities through the Claude API and Google Cloud, expanding its usefulness for AI agents and workflows involving web interaction. The model uses the newer tokenizer shared with Claude 4.7 and later models, causing identical text to consume approximately 30% more tokens than on Claude Haiku 4.5, although the exact difference varies by content. Claude Haiku 5.5 is suited to developers and organizations building scalable AI applications, routing systems, extraction pipelines, subagent architectures, and other workloads that benefit from a combination of fast responses and configurable reasoning.

Pricing

Pricing Starts At:
$0.10 per 1M tokens (input)
Pricing Information:
For prompts under 100K tokens, it's $0.10 input / $0.50 output per million tokens with cache reads at $0.01. Above 100K tokens, $0.50 input / output $2.50 per million, with cache reads at $0.05.

Integrations

API:
Yes, Claude Haiku 5.5 has an API

Company Details

Company:
Anthropic
Year Founded:
2021
Headquarters:
United States
Website:
claude.ai

Media

Claude Haiku 5.5 Screenshot 1
Recommended Products
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free

Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

Claude Haiku 5.5 Features and Options

Claude Haiku 5.5 User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Software Engineer
    Length of product use: 6-12 Months
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Finally a super fast/cheap model from Anthropic

    Date: Oct 07 2026

    Summary: Claude Haiku 5.5 is an excellent choice when speed and efficiency matter more than having the absolute smartest model available. It's surprisingly capable for such a lightweight model and works especially well for high-volume workloads, quick coding tasks, and everyday automation. I wouldn't choose it for my hardest problems, but for routine work it's one of the most practical Claude models available.

    Positive: Claude Haiku 5.5 is impressively fast while still being capable enough for a wide range of everyday AI tasks. I found it particularly good for quick coding work, summaries, classification, and other high-volume tasks where responsiveness matters. It's a substantial improvement over Haiku 4.5 and offers a great balance between intelligence, speed, and cost.

    Negative: Haiku 5.5 is still designed as the lightweight model in the Claude lineup, and that becomes noticeable on more complicated reasoning and long-running tasks. For difficult coding problems or work that requires a lot of judgment, I'd still rather use Sonnet 5.5 or Opus 5.5.

    Read More...
  • Previous
  • You're on page 1
  • Next