Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Codestral 2508 (OpenRouter) delivers a 85% cost reduction over Pixtral Large.
| Traffic Volume Tier | Pixtral Large Monthly | Codestral 2508 (OpenRouter) Monthly | Monthly Savings by picking Codestral 2508 (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $49.10 | $7.365 | Save $41.735 / mo |
| 10,000 reqs/mo (Small App) | $491.00 | $73.65 | Save $417.35 / mo |
| 100,000 reqs/mo (Growth Production) | $4,910.00 | $736.50 | Save $4,173.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $49,100.00 | $7,365.00 | Save $41,735.00 / mo |
Codestral 2508 (OpenRouter) is 85% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Codestral 2508 (OpenRouter) costs $0.007365 per request compared to $0.0491 on Pixtral Large.
Pixtral Large offers a context window of 128,000 tokens (max output: 8,192), while Codestral 2508 (OpenRouter) offers 256,000 tokens (max output: 204,800).
At 100,000 requests per month, using Codestral 2508 (OpenRouter) saves $4,173.50 every month (or $50,082.00 annually) compared to Pixtral Large.
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.