Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). GLM-5 (Z.ai) delivers a 60% cost reduction over Cohere Command A+.
| Traffic Volume Tier | Cohere Command A+ Monthly | GLM-5 (Z.ai) Monthly | Monthly Savings by picking GLM-5 (Z.ai) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $62.875 | $24.92 | Save $37.955 / mo |
| 10,000 reqs/mo (Small App) | $628.75 | $249.20 | Save $379.55 / mo |
| 100,000 reqs/mo (Growth Production) | $6,287.50 | $2,492.00 | Save $3,795.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $62,875.00 | $24,920.00 | Save $37,955.00 / mo |
GLM-5 (Z.ai) is 60% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), GLM-5 (Z.ai) costs $0.0249 per request compared to $0.0629 on Cohere Command A+.
Cohere Command A+ offers a context window of 128,000 tokens (max output: 8,192), while GLM-5 (Z.ai) offers 200,000 tokens (max output: 131,072).
At 100,000 requests per month, using GLM-5 (Z.ai) saves $3,795.50 every month (or $45,546.00 annually) compared to Cohere Command A+.
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.