Source of truth for API usage data
AI Models & Assistants / Knowledge library
Claude 3.5 Haiku
Claude 3.5 Haiku is a versioned Claude language model. Consult its lifecycle and model documentation before selecting it.
Why learn Claude 3.5 Haiku?
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 Haiku: Claude 3.5 Haiku is a versioned Claude language model. Consult its lifecycle and model documentation before selecting it. Published aliases: claude-3-5-haiku-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 Haiku does.
- Identify a use case for Claude 3.5 Haiku.
- Describe a limitation of Claude 3.5 Haiku.
- Name a compatible tool for Claude 3.5 Haiku.
- Compare Claude 3.5 Haiku 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 Claude 3.5 Haiku
Enterprises maintaining legacy AI integration layers.
The business problem
Applications relying on the retired claude-3-5-haiku-20241022 model face service interruptions as requests to retired models will fail.
How this topic solves it
The organization must perform an audit of API usage to identify instances of the retired model and migrate workloads to active, supported replacements like claude-haiku-4-5-20251001.
- Navigate to the Usage page in the Claude Console to audit current model deployments.
- Export the usage CSV to identify all API keys and endpoints currently invoking claude-3-5-haiku-20241022.
- Update application code to reference the recommended replacement model, claude-haiku-4-5-20251001.
- Conduct thorough testing of the application with the new model to ensure functional parity before full production deployment.
The process of identifying retired models and transitioning to active ones.
Report containing model identifiers
Application layer requiring updates
Target: claude-haiku-4-5-20251001
- Claude Console → Export usage data → Audit CSV
- Audit CSV → Identify retired model → Codebase
- Codebase → Update API reference → Active Model
Expected business outcome
Restoration of service reliability and compliance with Anthropic's model lifecycle support policies.
Limitations and checks
The primary trade-off is the potential for behavioral drift between model versions; developers must verify output consistency through regression testing after migration.