Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). DeepSeek V4 Pro delivers a 39% cost reduction over Gemini 3.1 Pro.
| Traffic Volume Tier | Gemini 3.1 Pro Monthly | DeepSeek V4 Pro Monthly | Monthly Savings by picking DeepSeek V4 Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $52.70 | $32.186 | Save $20.514 / mo |
| 10,000 reqs/mo (Small App) | $527.00 | $321.86 | Save $205.14 / mo |
| 100,000 reqs/mo (Growth Production) | $5,270.00 | $3,218.60 | Save $2,051.40 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $52,700.00 | $32,186.00 | Save $20,514.00 / mo |
DeepSeek V4 Pro is 39% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), DeepSeek V4 Pro costs $0.0322 per request compared to $0.0527 on Gemini 3.1 Pro.
Gemini 3.1 Pro offers a context window of 2,000,000 tokens (max output: 128,000), while DeepSeek V4 Pro offers 1,000,000 tokens (max output: 384,000).
At 100,000 requests per month, using DeepSeek V4 Pro saves $2,051.40 every month (or $24,616.80 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.