Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Gemini 2.0 Flash delivers a 46% cost reduction over GPT-4o mini.
| Traffic Volume Tier | Gemini 2.0 Flash Monthly | GPT-4o mini Monthly | Monthly Savings by picking Gemini 2.0 Flash |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $2.65 | $4.95 | Save $2.30 / mo |
| 10,000 reqs/mo (Small App) | $26.50 | $49.50 | Save $23.00 / mo |
| 100,000 reqs/mo (Growth Production) | $265.00 | $495.00 | Save $230.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $2,650.00 | $4,950.00 | Save $2,300.00 / mo |
Gemini 2.0 Flash is 46% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Gemini 2.0 Flash costs $0.00265 per request compared to $0.00495 on GPT-4o mini.
Gemini 2.0 Flash offers a context window of 1,048,576 tokens (max output: 8,192), while GPT-4o mini offers 128,000 tokens (max output: 16,384).
At 100,000 requests per month, using Gemini 2.0 Flash saves $230.00 every month (or $2,760.00 annually) compared to GPT-4o mini.
Prompt caching is the single biggest lever — each step re-reads prior context. Summarize or prune tool outputs before appending them to the transcript. Cap the step budget; runaway loops are the #1 surprise on agent invoices.