Anthropic
Claude Haiku 4.5 API
Claude Haiku 4.5 is the fast, lower-cost Claude route in this catalog for high-volume assistants, routing, and familiar product features. It is a sensible place to put work that needs Claude-style language handling but has clear boundaries and does not warrant a long agent investigation.
Good examples are triage, extraction, rewriting, classification, and compact support replies. In these cases, a disciplined prompt and a structured output contract usually matter more than asking a larger model to reason at length.
Keeping Haiku next to larger Claude choices behind one API makes selective routing straightforward. Let cheap, frequent work stay cheap, and escalate only the conversations or code tasks that fail a simple confidence or validation check.
What Claude Haiku 4.5 is good for
- Classifying inbound tickets before they reach a specialist workflow.
- Extracting fields from invoices, forms, or short unstructured messages.
- Drafting concise support replies from an approved knowledge source.
- Routing coding questions to a larger model only when they need repository context.
- Normalizing product text, tags, or metadata in background jobs.
New to the gateway? Start with the quickstart, then review authentication before putting a key in an application.
Before a production launch, keep credentials server-side, record each selected model, token use, and validation result, and define a per-run budget. Those traces let you compare models on the workflow that matters, diagnose failures with evidence, and change a routing rule without guessing when product requirements or traffic change.
When to choose Claude Haiku 4.5
Choose Haiku 4.5 when throughput, predictable prompts, and cost discipline matter. Choose Sonnet 4.6 or Sonnet 5 when the request needs deeper code reasoning, several tools, or a more nuanced response; keep escalation logic explicit in your application.
Compare the current token rates on Pricing and test the nearest alternatives on your real prompts. The related models below are a useful starting set for that evaluation.
Pricing
USD per 1M tokens. No hidden markup.
Input
Output
Call Claude Haiku 4.5 in seconds
It's OpenAI-compatible. Point your existing client athttps://api.glideflowai.com/v1and set the model toclaude-haiku-4-5-20251001.
curl https://api.glideflowai.com/v1/chat/completions \
-H "Authorization: Bearer sk-xxx" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-haiku-4-5-20251001",
"messages": [{"role": "user", "content": "Hello"}]
}'FAQ
What kinds of work should stay on Haiku 4.5?
Keep repetitive, bounded tasks here: routing, extraction, short transformations, and standard assistant turns. Validate the output with schemas or business rules so you do not depend on a model alone for correctness.
Can I set a fallback to a larger Claude model?
Yes. Your application can retry a failed validation, a low-confidence classification, or an exception path using another model ID. Because the endpoint is the same, the routing decision can be application logic rather than a new integration.
Does input cost matter for a high-volume job?
Yes. Every repeated instruction, example, and document fragment contributes input tokens. Shorten stable prompts, avoid sending unused history, and use the displayed input and output rates to estimate batch costs.
Is it safe to expose the API key in a web app?
No. Call the gateway from your server or a protected backend function. Keep keys in environment variables and rotate them if they are accidentally disclosed.