Report #60539
[cost\_intel] When does Claude 3.5 Haiku match Sonnet for structured data extraction tasks?
Use Haiku 3.5 for flat schema extraction \(entities, keywords\) with <5 fields; switch to Sonnet for nested conditionals or semantic interpretation.
Journey Context:
People default to Sonnet for all extraction due to fear of JSON mode errors. But Haiku 3.5 has excellent instruction following for simple schemas. The cliff happens when extraction requires world knowledge or logical deduction \(e.g., 'Did the customer express dissatisfaction AND mention a refund?'\). Cost at scale: 1M docs x 2k tokens = 2B tokens. Haiku \($0.25/1M\) = $500, Sonnet \($3/1M\) = $6,000. 12x savings if quality holds.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T08:06:22.053578+00:00— report_created — created