Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Gemini 2.5 Pro delivers a 30% cost reduction over Grok 4.6 Flagship.
| Traffic Volume Tier | Gemini 2.5 Pro Monthly | Grok 4.6 Flagship Monthly | Monthly Savings by picking Gemini 2.5 Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $34.906 | $49.85 | Save $14.944 / mo |
| 10,000 reqs/mo (Small App) | $349.063 | $498.50 | Save $149.438 / mo |
| 100,000 reqs/mo (Growth Production) | $3,490.625 | $4,985.00 | Save $1,494.375 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $34,906.25 | $49,850.00 | Save $14,943.75 / mo |
Gemini 2.5 Pro is 30% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Gemini 2.5 Pro costs $0.0349 per request compared to $0.0499 on Grok 4.6 Flagship.
Gemini 2.5 Pro offers a context window of 1,000,000 tokens (max output: 32,768), while Grok 4.6 Flagship offers 500,000 tokens (max output: 64,000).
At 100,000 requests per month, using Gemini 2.5 Pro saves $1,494.375 every month (or $17,932.50 annually) compared to Grok 4.6 Flagship.
Long-context models pay off here — compare price per 1M tokens at your true document size. Summarize once, store the result; don't re-summarize unchanged documents. For batch backfills, nightly jobs can use cache-friendly request ordering.