Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). MiniMax-01 (4M Context) delivers a 90% cost reduction over Gemini 3.1 Pro.
| Traffic Volume Tier | MiniMax-01 (4M Context) Monthly | Gemini 3.1 Pro Monthly | Monthly Savings by picking MiniMax-01 (4M Context) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $5.26 | $52.70 | Save $47.44 / mo |
| 10,000 reqs/mo (Small App) | $52.60 | $527.00 | Save $474.40 / mo |
| 100,000 reqs/mo (Growth Production) | $526.00 | $5,270.00 | Save $4,744.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $5,260.00 | $52,700.00 | Save $47,440.00 / mo |
MiniMax-01 (4M Context) is 90% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), MiniMax-01 (4M Context) costs $0.00526 per request compared to $0.0527 on Gemini 3.1 Pro.
MiniMax-01 (4M Context) offers a context window of 4,000,000 tokens (max output: 64,000), while Gemini 3.1 Pro offers 2,000,000 tokens (max output: 128,000).
At 100,000 requests per month, using MiniMax-01 (4M Context) saves $4,744.00 every month (or $56,928.00 annually) compared to Gemini 3.1 Pro.
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.