Benchmark monthly API spend across top frontier and lightweight models with prompt caching and hybrid routing savings.
Source: Official developer pricing per 1M tokens (Gemini 2.5 Flash In $0.30/Out $2.50, GPT-4o-mini In $0.15/Out $0.60, Claude 3.5 Sonnet In $3.00/Out $15.00; Pricing date: 2026-11-09)
As of: November 2026
| 500 calls / day (34.5M tokens) | Gemini $35.23 / GPT-4o-mini $9.82 |
| 1,000 calls / day (69.0M tokens) | Gemini $70.46 / GPT-4o-mini $19.63 |
| 3,000 calls / day (207.0M tokens) | Gemini $211.39 / GPT-4o-mini $58.89 |
| 10,000 calls / day (690.0M tokens) | Gemini $704.62 / GPT-4o-mini $196.31 |
Routing 85% of high-volume tasks (classification, extraction, first-draft generation) to ultra-efficient models like Gemini Flash or GPT-4o-mini while reserving frontier reasoning models for complex synthesis keeps gross margins above 80%.
Placing static system instructions and few-shot examples at the beginning of your prompt enables 50%–90% discounts on cached input tokens. Combining this with asynchronous Batch APIs cuts non-urgent pipeline costs in half.
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