Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). GLM 4.7 (Zhipu) delivers a 23% cost reduction over o4-mini.
| Traffic Volume Tier | o4-mini Monthly | GLM 4.7 (Zhipu) Monthly | Monthly Savings by picking GLM 4.7 (Zhipu) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $5.962 | $4.614 | Save $1.348 / mo |
| 10,000 reqs/mo (Small App) | $59.62 | $46.14 | Save $13.48 / mo |
| 100,000 reqs/mo (Growth Production) | $596.20 | $461.40 | Save $134.80 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $5,962.00 | $4,614.00 | Save $1,348.00 / mo |
GLM 4.7 (Zhipu) is 23% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), GLM 4.7 (Zhipu) costs $0.004614 per request compared to $0.005962 on o4-mini.
o4-mini offers a context window of 256,000 tokens (max output: 100,000), while GLM 4.7 (Zhipu) offers 128,000 tokens (max output: 16,384).
At 100,000 requests per month, using GLM 4.7 (Zhipu) saves $134.80 every month (or $1,617.60 annually) compared to o4-mini.
Output-heavy workloads favor models with a low output price, not a low input price. Batch similar generation tasks with shared style prompts to exploit caching. Draft with a cheap tier, refine the winners with a premium model.