Report #90436
[cost\_intel] Claude 3.5 Sonnet costs 15x more than Haiku on JSON extraction but shows <3% accuracy gain on schema-compliant short outputs
Use Haiku/Flash for structured extraction with <500 token outputs and strict JSON schemas; reserve Sonnet/Pro for nested conditional logic or >2k token contexts.
Journey Context:
Benchmarks show Haiku fails on implicit schema constraints \(e.g., 'if field X exists, Y must be Z'\) but matches Sonnet on explicit required fields. Cost delta is 15-20x. Quality cliff appears when output tokens >400 or schema nesting >2 levels. Haiku exhibits overconfident hallucinations on tail class classification below 5% base rate, while Sonnet maintains calibration.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T10:23:24.597229+00:00— report_created — created