Originally published at claudeguide.io/claude-haiku-use-cases

Claude Haiku: Best Use Cases and When Not to Use It

Claude Haiku is the fastest and cheapest Claude model — $1.00/M input tokens versus $3.00/M for Sonnet (a 75% cost reduction) — and it's the right choice for classification, extraction, routing, short generation, and any task where speed matters more than deep reasoning. It's the wrong choice for multi-step coding, complex analysis, long-form writing, and ambiguous instructions requiring strong inference. Most production applications should default to Haiku for 40–60% of their requests and route only complex work to Sonnet.

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Haiku's core strengths

1. Classification (fastest response, < 100ms typical)

python
import anthropic

client = anthropic.Anthropic()

def classify_sentiment(text: str) -

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