Which Claude model should you build with? Fable, Opus, Sonnet, or Haiku - By Addy Osmani
From AI Article Readings · 28:51
Show by Readings of great articles in AI voices
Addy Osmani’s practical guide to the current Claude lineup: where to start, when to move up or down a tier, and why the effort level is often the finer dial. It walks through cost per finished task rather than list price, the latency and context trade-offs, mixing models with subagents, advisors and cheaper workers, the API differences to test before migrating, and how to measure candidates on your own work. Both of the post’s tables are read in full.* 00:00 - Introduction* 01:40 - TL;DR* 03:31 - Pick a model by task* 06:13 - The four models side by side* 09:15 - The trade-offs* 09:29 - Capability and cost per finished task* 11:36 - Latency against accuracy* 13:39 - Context against cost* 15:20 - Mixing models* 16:08 - Switch at a natural break* 17:33 - Put subagents on smaller models* 20:38 - Escalate hard decisions to an advisor* 22:09 - Delegate bulk work to cheaper workers* 23:11 - Check compatibility before migrating* 26:22 - Measure on your own work* 27:21 - Learn morehttps://claude.dev/blog/which-claude-model-should-you-build-with/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askwhocastsai.substack.com/subscribe
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