Claude 3.5 Haiku
AnthropicLarge Language ModelProprietaryAnthropic's fastest and most affordable model. Designed for high-throughput, low-latency tasks like classification and extraction.
Abilities
Use Cases
Available in Tools
Availability
How to Use
Pros
- Very fast response times (~200ms first token) — ideal for real-time user-facing features
- Most affordable Claude model — $1/1M input makes high-volume classification viable
- Excellent for structured extraction, tagging, and routing tasks
- 200K context window — same long-context access as larger models
- Low latency makes it suitable for agentic pipelines where speed matters
Cons
- Closed source — same as other Claude models
- Significantly less capable on complex reasoning, math, and creative tasks
- Output quality noticeably drops on tasks requiring deep analysis
- Not suitable as a standalone coding assistant — too many errors on complex code
- Smaller community focus — most tutorials and examples target Sonnet/Opus
What to Use It For
Perfect For
Fastest Claude model at $1/1M input — processes thousands of items per minute affordably
~200ms first token latency makes it ideal as a fast decision-making router in multi-agent systems
Reliable JSON output at low latency — perfect for pulling fields from invoices, forms, and emails
Good For
Handles straightforward questions accurately at minimal cost per query
Fast enough for real-time ticket routing and priority classification
Not Recommended
Too many errors on multi-file refactoring and architectural decisions
Try instead: Claude Sonnet 4
Produces generic, flat prose lacking the depth and style control of larger models
Try instead: Claude Opus 4
Do Not Use For
Lacks the depth for multi-step proofs — makes logical errors on anything beyond basic math
Try instead: o3, DeepSeek R1
Vision capabilities are limited compared to multimodal-first models
Try instead: Gemini 2.5 Pro