COST ENGINEERING
Token Saving Strategy with DeepSeek R1
Practical patterns to reduce inference spend by up to 90% without hurting output quality.
- Trim system prompts and deduplicate context sections before each call.
- Use staged prompting: classify first, then route only expensive tasks to long-chain mode.
- Apply response length guards with max token ceilings per endpoint.
- Cache deterministic prompts and replay stable outputs from edge storage.
- Batch low-priority jobs to off-peak windows with lower arbitration rates.