What is Claude (Anthropic)?
Claude is Anthropic’s family of models for writing, analysis and software work. The specifications here refer to Claude Opus 5.5, which pairs a million-token context with always-on adaptive thinking for long-running coding and knowledge-work agents.

Key features
- Text and image input; text output
- Million-token context
- Always-on adaptive thinking
- Effort controls for reasoning depth
- Prompt caching
- Extended output through a Batch API beta
Best for
- Multi-file code changes
- Long-document synthesis
- Multi-step knowledge-work agents
- Image-assisted document analysis
Who it suits
- Agent developers
- Software engineering teams
- Document-heavy research teams
Who may not need it
- Applications needing a no-thinking mode
- Users seeking self-hosted weights
Integrations and compatibility
- Amazon Bedrock
- Claude Models on Google Cloud
- Microsoft Foundry
Where it fits in a workflow
Place Opus 5.5 in longer reasoning or coding loops, with review gates before it changes external systems. Check thinking-block and tool-use compatibility before upgrading an existing agent.
Specifications
| Model family | Claude |
|---|---|
| Version these details describe | Claude Opus 5.5 |
| Developer | Anthropic |
| Modalities | text, image |
| Context window | 1,000,000 tokens |
| Output limit | 128,000 tokens; up to 300,000 with Message Batches beta |
| Access | API, Amazon Bedrock, Google Cloud, Microsoft Foundry |
Specifications apply to the version named above only and were checked on Oct 26, 2026. Official model documentation.
Sources
Strengths
- Large input capacity for code and documents
- Multiple cloud deployment routes
- Caching and batch options can reduce repeat-work costs
Watch-outs
- Thinking cannot be disabled
- Forced tool use returns an error
- Existing agents may need changes to thinking-block handling
Alternatives
Related coverage
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ReviewClaude Review: Plans, Strengths and Who It Suits
A research-based look at Claude for writing, document work and coding, with practical checks to make before choosing a plan.
GuideIntroduction to Large Language and Multimodal Models
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GuideHow to Choose Between LLM and Multimodal Models
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Listings are editorial and independent. Details that change often are marked “to be verified” until an editor checks them against the official source.