Claude Opus 4.5

What if your AI could consistently deliver production-ready code and orchestrate complex tasks with minimal oversight?

Automated product research from public website content. No hands-on app test is recorded for this profile. Pricing source and check date are shown below where available.

Research fitSource-based assessment: Claude Opus 4.5 is a premium AI model offering advanced reasoning and reliability for demanding professional and technical applications.

Claude Opus 4.5 is a highly capable hybrid reasoning model designed for serious coding, AI agents, and professional knowledge work. It offers advanced reliability and precision for complex, multi-step tasks, setting a new standard for AI system capabilities.

Key Features:

Hybrid reasoning model for serious coding and AI agents.
1M context window for processing large documents and conversations.
Adaptive thinking to adjust effort based on task complexity.
Strong performance in coding, vision, and complex multi-step tasks.
Reliability and precision for enterprise workflows.

Pros

Software engineers needing production-ready code with minimal oversight.
Developers building robust AI agents for complex multi-tool tasks.
Enterprises requiring reliable AI for multi-day projects and professional document creation.

Cons

Higher pricing compared to other Claude models.
May use more tokens for the same text due to a new tokenizer in later versions (Opus 4.7+).
Fast mode (research preview) is available at premium pricing and not on Claude Platform on AWS.

Pricing

paid

Starting at:$5 / MTok (input), $25 / MTok (output)

Plans

Claude Opus 4.5: $5 / MTok (input), $25 / MTok (output)
Prompt Caching (5m write): $6.25 / MTok
Prompt Caching (1h write): $10 / MTok
Prompt Caching (hit): $0.50 / MTok
Batch Processing: $2.50 / MTok (input), $12.50 / MTok (output)

Categories:

AI Infrastructure Code & Development Automation & Integration

Tags:

LLM AI agent coding enterprise context window hybrid reasoning

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Quick Decision

Try if: You need a highly intelligent and reliable AI model for complex coding, agentic workflows, or high-stakes enterprise tasks where consistency and autonomy are critical.

Skip if: You are on a tight budget and your tasks are simple, or you prioritize speed over the highest level of intelligence and reliability.

Not for: Users seeking the lowest-cost model for simple, short-turnaround tasks.; Individuals who do not require advanced reasoning or long-context capabilities.

Trust Signals

Founded
2021
Team Size
large

Compliance

ISO 27001ISO 42001SOC 2FedRAMP High (via Claude for Government)

Notable Customers

Tom Pritchard (Staff Engineer)Kay Zhu (Co-Founder and CTO)Michael Truell (Co-Founder and CEO)Niko Grupen (Head of Applied Research)Katie Parrott (Staff Writer)

Tech Details

Platforms

webapiAWSGoogle CloudMicrosoft Foundry

Integrations

Amazon BedrockVertex AIMicrosoft Foundry

AI Model
Claude Opus 4.5

Open Source

Support

Channels

support centerdocumentation

Company

Name
Anthropic PBC
Location
United States

Anthropic is an AI safety and research company with a mission of ensuring the world safely makes the transition through transformative AI.

FAQ

What are the primary use cases for Claude Opus 4.5?

Claude Opus 4.5 is designed for advanced coding, powering AI agents, and anchoring enterprise workflows. It excels in delivering production-ready code, orchestrating complex multi-tool tasks, and handling professional knowledge work like spreadsheets, slides, and documents.

How does Claude Opus 4.5 handle data privacy and security?

Anthropic has a comprehensive set of security measures, including ISO 27001 and SOC 2 certifications, and encrypts all data at rest and in transit. They also offer Zero Data Retention (ZDR) eligibility for many features and geographic controls for data residency.

What is the pricing structure for Claude Opus 4.5?

Claude Opus 4.5 is priced at $5 per million input tokens and $25 per million output tokens. There are also pricing modifiers for prompt caching, batch processing, and US-only inference, which can offer significant cost savings or incur additional charges.

Use Cases

Software engineers needing production-ready code with minimal oversight.
Developers building robust AI agents for complex multi-tool tasks.
Enterprises requiring reliable AI for multi-day projects and professional document creation.