Claude model selection: Haiku vs Sonnet vs Opus. Which to use when
Claude Haiku is the fastest and cheapest tier. Right for high-volume classification, simple extraction, routing decisions. If you only need a quick yes/no or category from text, Haiku is the call.
Claude Sonnet is the workhorse. Strong coding, strong long-context retrieval, conversational tone Anthropic is known for. Right default for chatbots, agents, RAG synthesis, anything where quality > raw speed. Webtwizz defaults ANTHROPIC_MODEL to claude-sonnet-4-6 if you don't set it.
Claude Opus is the top tier: best reasoning, best multi-step planning, best at understanding nuanced instructions. Use for complex code generation, agentic workflows that span many steps, content where small quality differences matter (sales copy, customer-facing communication).
The 1M context tier (claude-opus-4-7[1m]) is the big differentiator vs OpenAI right nowyou can stuff your entire codebase, full doc set, or hours of meeting transcript into a single prompt. Burns tokens but unlocks "talk to my entire knowledge base" patterns without building retrieval first.
Pricing wise: Haiku < GPT-4o-mini, Sonnet ~ GPT-4o, Opus > GPT-4o. Pick on quality requirements, not price.



