Source of truth for API usage data
AI Models & Assistants / Knowledge library
Claude 3.5 Sonnet (claude 3 5 sonnet 20241022)
Claude 3.5 Sonnet is a versioned Claude language model. Consult its lifecycle and model documentation before selecting it.
Why learn Claude 3.5 Sonnet (claude 3 5 sonnet 20241022)?
Offers the documented Anthropic model capabilities through hosted.
The problem it solves
Provides model inference for supported text inputs.
Where it came from
Claude 3.5 Sonnet: Claude 3.5 Sonnet is a versioned Claude language model. Consult its lifecycle and model documentation before selecting it. Published aliases: claude-3-5-sonnet-20241022. Input: text. Output: consult source. Checked 2026-10-13. Model capabilities are distinct from tools available in a particular agent.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what Claude 3.5 Sonnet does.
- Identify a use case for Claude 3.5 Sonnet.
- Describe a limitation of Claude 3.5 Sonnet.
- Name a compatible tool for Claude 3.5 Sonnet.
- Compare Claude 3.5 Sonnet against an alternative.
Documentation and sources
- Primary source / model card (platform.claude.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.
Connect the ideas
Built on
Real World Example
Lifecycle Management for Legacy Claude Integrations
Enterprise software teams maintaining long-running AI-powered analytics pipelines.
The business problem
Teams often face service interruptions when legacy models reach their retirement date, causing silent failures in automated data processing workflows that rely on specific model versions.
How this topic solves it
Implementing a proactive model lifecycle audit using the Claude Console Usage export to identify deprecated model usage and systematically migrating workloads to active, supported models before the retirement deadline.
- Navigate to the Usage page in the Claude Console to generate an audit report.
- Export the usage data to CSV format to identify specific API keys and model IDs currently in production.
- Cross-reference identified models against the official documentation to determine their current lifecycle status.
- Update application code to point to the recommended replacement model as specified in the deprecation tables.
- Perform regression testing with the new model to ensure output consistency before full deployment.
The process of identifying and replacing legacy models to ensure continuous service.
CSV export containing model identifiers
Reference for lifecycle status and replacements
Production environment requiring update
- Claude Console → generates → Audit Report
- Audit Report → cross-referenced → Documentation
- Documentation → defines replacement → Application Code
Expected business outcome
Improved system reliability and the elimination of unexpected downtime caused by the retirement of legacy model versions.
Limitations and checks
The primary trade-off is the potential for slight variations in model output behavior between versions, which must be verified through thorough testing before final migration.