Claude models: Fable vs. Opus vs. Sonnet vs. Haiku

Anthropic’s Claude lineup—Haiku, Sonnet, Opus, and Fable—serves overlapping but distinct roles, with Haiku positioned as the fastest, lowest-cost option for high-volume automation, Sonnet as a capable everyday conversational and analytical model, Opus as the strongest general balance of reliability, coding ability, and cost for paid users, and Fable as a premium option for frontier coding and long-running agentic work. Using benchmarks and five practical tests involving classification, unsolvable scheduling, editing, document comparison, and HTML development, the evaluation found that all models were broadly capable, but more advanced models handled ambiguity, instruction-following, reasoning transparency, and task limitations more consistently. Haiku performed well on structured, repeatable work but made important errors in rewriting and complex analysis, while Sonnet delivered strong general results despite occasional misses. Opus consistently produced the most reliable outputs across the tests and is presented as the preferred default for most paid use cases, whereas Fable matched or slightly exceeded it in specialized coding and design tasks but cost more, followed directions less predictably, and may revert to Opus for safety-sensitive requests. The comparison concludes that model selection should depend on task complexity, budget, and automation needs, with Zapier integrations allowing users to apply different Claude models across workflow steps.

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