What is Claude Sonnet 5.5?

Claude Sonnet 5.5 is Anthropic’s faster, lower-cost Claude 5.5 model for well-scoped professional work, software development, agentic workflows, and content creation. Anthropic positions it below Claude Opus 5.5 for the most complex open-ended work, but says it can perform comparably on some benchmarks when run at higher effort settings. The model delivers a particularly large improvement in coding, including a 70.6% result on Terminal-Bench 4.0, 46.2% on FrontierCode at Max effort, and 55.5% on CursorBench 4.0. It also scores 1844 on GDPval-AA, 1811 on AA-Briefcase, 64.5% on Humanity’s Last Exam with tools, and 80.1% on OSWorld 2.1 partial. Anthropic reports that Sonnet 5.5 is better at long-horizon work, image understanding, collaboration, and codebase comprehension than Sonnet 5. The company also highlights design-oriented improvements, including the ability to produce polished documents, spreadsheets, slides, and user interfaces with less editing. Sonnet 5.5 generates output more than 30% faster than its predecessor and is Anthropic’s fastest Sonnet model to date. Although its listed token prices are unchanged from Sonnet 5, Anthropic says greater token efficiency can reduce per-task cost by up to 30%. Pricing is $2 per million input tokens, $10 per million output tokens, $2.50 per million cache-write tokens, and $0.20 per million cache-read tokens. The model includes cyber safeguards, biology safeguards, reasoning-extraction protections, and preserved-thinking controls, with some higher-risk cyber requests falling back to Sonnet 5. Claude Sonnet 5.5 is available with zero data retention across Claude products, the Claude Platform, AWS, Google Cloud, and Microsoft Azure under the model name claude-sonnet-5-5.

Pricing

Price Starts At:
$2 per 1M tokens (input)
Price Overview:
$2 per million input tokens and $10 per million output tokens.

Cache reads, which account for most costs in agentic and coding workloads, are priced at just $0.20 per million tokens

Integrations

Offers API?:
Yes, Claude Sonnet 5.5 provides an API

Screenshots and Video

Claude Sonnet 5.5 Screenshot 1

Company Facts

Company Name:
Anthropic
Date Founded:
2021
Company Location:
United States
Company Website:
claude.ai

Product Details

Deployment
SaaS
Training Options
Documentation Hub
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Claude Sonnet 5.5 Customer Reviews

Write a Review
  • Reviewer Name: A Verified Reviewer
    Position: CTO
    Has used product for: Less than 6 months
    Uses the product: Daily
    Org Size (# of Employees): 26 - 99
    Feature Set
    Ease Of Use
    Cost
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Really fast/efficient and good reasoning abilities

    Date: Sep 28 2026
    Summary

    Claude Sonnet 5.5 is probably the model I would want as my everyday coding workhorse. It is fast, efficient, strong at practical development tasks, and capable enough that I rarely feel like I am sacrificing much by not using a heavier model.

    Positive

    I can give it a normal development task and it tends to get to the answer with less wandering, fewer unnecessary tool calls, and less back-and-forth than Sonnet 5. Coding is where I notice the improvement the most. It is really good for feature work, fixing bugs, refactoring, and the everyday engineering tasks where I want something fast and capable without automatically reaching for Opus. The speed is another big advantage. Sonnet 5.5 feels better suited to rapid iteration because I can make a change, test it, adjust the prompt, and keep moving without the slower pace I sometimes get from heavier reasoning models.

    Negative

    The main downside is that I would still move up to Opus 5.5 for really messy architecture problems, long autonomous agent runs, or tasks where I want maximum reasoning depth.

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