Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Devstral 2 (2512) (OpenRouter) delivers a 80% cost reduction over GLM-4.5-X (Z.ai).
| Traffic Volume Tier | GLM-4.5-X (Z.ai) Monthly | Devstral 2 (2512) (OpenRouter) Monthly | Monthly Savings by picking Devstral 2 (2512) (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $55.965 | $11.33 | Save $44.635 / mo |
| 10,000 reqs/mo (Small App) | $559.65 | $113.30 | Save $446.35 / mo |
| 100,000 reqs/mo (Growth Production) | $5,596.50 | $1,133.00 | Save $4,463.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $55,965.00 | $11,330.00 | Save $44,635.00 / mo |
Devstral 2 (2512) (OpenRouter) is 80% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Devstral 2 (2512) (OpenRouter) costs $0.0113 per request compared to $0.056 on GLM-4.5-X (Z.ai).
GLM-4.5-X (Z.ai) offers a context window of 128,000 tokens (max output: 98,304), while Devstral 2 (2512) (OpenRouter) offers 262,144 tokens (max output: 209,715).
At 100,000 requests per month, using Devstral 2 (2512) (OpenRouter) saves $4,463.50 every month (or $53,562.00 annually) compared to GLM-4.5-X (Z.ai).
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.