Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). GLM-4.6 (Z.ai) delivers a 50% cost reduction over o4-mini.
| Traffic Volume Tier | o4-mini Monthly | GLM-4.6 (Z.ai) Monthly | Monthly Savings by picking GLM-4.6 (Z.ai) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $5.962 | $3.002 | Save $2.96 / mo |
| 10,000 reqs/mo (Small App) | $59.62 | $30.024 | Save $29.596 / mo |
| 100,000 reqs/mo (Growth Production) | $596.20 | $300.24 | Save $295.96 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $5,962.00 | $3,002.40 | Save $2,959.60 / mo |
GLM-4.6 (Z.ai) is 50% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), GLM-4.6 (Z.ai) costs $0.003002 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-4.6 (Z.ai) offers 200,000 tokens (max output: 131,072).
At 100,000 requests per month, using GLM-4.6 (Z.ai) saves $295.96 every month (or $3,551.52 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.