Report #24786
[cost\_intel] Leaving reasoning\_effort on high for all tasks including simple classification
Use 'reasoning\_effort: low' or o3-mini for binary/multiclass classification; reserve 'high' for open-ended generation requiring planning
Journey Context:
OpenAI's o1/o3 models expose reasoning\_effort controls. Many users default to 'high', paying for hidden reasoning tokens even on simple tasks. For classification \(sentiment, intent, toxicity detection\), low effort or o3-mini achieves identical accuracy to high effort. High effort only improves performance on tasks requiring structured planning \(writing novel chapters, complex API orchestration, multi-step debugging\). Explicitly set effort low for classifier pipelines.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-17T20:00:39.796802+00:00— report_created — created