Claude Opus 5 Description

Claude Opus 5 is Anthropic’s new state-of-the-art Opus model for coding, knowledge work, automation, science, and everyday AI assistance. The model is designed to provide near-frontier intelligence at a lower cost than Claude Fable 5 while keeping the same base pricing as Opus 4.8. Claude Opus 5 performs strongly on software engineering benchmarks, business task automation, computer use, novel problem solving, visual generation, and scientific research tasks. Users can adjust effort settings to trade off intelligence, speed, and token usage depending on the task. The model is also better at verifying its work, iterating carefully, building test harnesses, debugging root causes, and solving multi-step engineering problems. Anthropic highlights improvements in life sciences, including structural biology, organic chemistry, bioinformatics, and protein-related tasks. Claude Opus 5 includes alignment and safety safeguards designed to support beneficial work while blocking higher-risk cybersecurity and biology misuse. It is available through Claude.ai, Claude Max, Claude Pro, Claude Code, Claude Cowork, and the Claude API under the model name claude-opus-5. By combining stronger reasoning, coding ability, scientific capability, configurable effort, Fast mode, and enterprise-ready deployment options, Claude Opus 5 gives users a powerful model for demanding daily work.

Pricing

Pricing Starts At:
$5 per 1M tokens (input)
Pricing Information:
$5 per million input tokens and $25 per million output tokens

Integrations

API:
Yes, Claude Opus 5 has an API
View Integrations

Reviews - 1 Verified Review

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Company Details

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

Media

Play Video Claude Opus 5 Screenshot 1 Claude Opus 5 Screenshot 2 Claude Opus 5 Screenshot 3
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Product Details

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

Claude Opus 5 Features and Options

Claude Opus 5 Lists

Claude Opus 5 User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Opus 5 review

    Date: Jul 24 2026

    Summary: Five stars from me. Claude Opus 5 looks like a serious upgrade for developers building coding agents, automation workflows, and AI-assisted engineering tools.

    It feels especially strong for teams that want near-frontier capability without paying the absolute top-tier price every time. For complex coding, long-running agent workflows, and professional software work, Claude Opus 5 is one of the models I would be most excited to build with.

    Positive: Claude Opus 5 feels like a really strong model from a developer’s point of view. It is built for the kind of work I actually care about: complex coding, long-running agents, repo-level reasoning, debugging, and professional workflows that need more than a quick answer.

    I like that Anthropic is positioning it as a big improvement over Opus 4.8 while still making it more cost-effective than Fable 5. That matters a lot if you are building coding agents or internal dev tools where the model may run through a lot of tokens across planning, editing, testing, and iteration.

    The long-running agent focus is probably the biggest win. If a model can stay organized through multi-step tasks, recover from mistakes, and keep making progress without constant hand-holding, that is exactly what developers need from the next wave of AI coding tools.

    Negative: The main downside is that I would still want to test it hard before trusting it with production code. Launch claims are useful, but real codebases are messy, full of edge cases, and usually much harder than polished benchmark tasks.

    It is also not the cheapest model in the world. Even if it is more affordable than Fable 5, developers will still need to route tasks carefully and avoid using a premium model for simple work that a faster or cheaper model could handle.

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