Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). GLM 4.7 (Zhipu) delivers a 88% cost reduction over Claude Opus 4.8 (OpenRouter).
| Traffic Volume Tier | GLM 4.7 (Zhipu) Monthly | Claude Opus 4.8 (OpenRouter) Monthly | Monthly Savings by picking GLM 4.7 (Zhipu) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $15.095 | $128.75 | Save $113.655 / mo |
| 10,000 reqs/mo (Small App) | $150.95 | $1,287.50 | Save $1,136.55 / mo |
| 100,000 reqs/mo (Growth Production) | $1,509.50 | $12,875.00 | Save $11,365.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $15,095.00 | $128,750.00 | Save $113,655.00 / mo |
GLM 4.7 (Zhipu) is 88% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), GLM 4.7 (Zhipu) costs $0.0151 per request compared to $0.1287 on Claude Opus 4.8 (OpenRouter).
GLM 4.7 (Zhipu) offers a context window of 200,000 tokens (max output: 131,072), while Claude Opus 4.8 (OpenRouter) offers 1,000,000 tokens (max output: 128,000).
At 100,000 requests per month, using GLM 4.7 (Zhipu) saves $11,365.50 every month (or $136,386.00 annually) compared to Claude Opus 4.8 (OpenRouter).
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.