Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Qwen 2.5 Coder 32B delivers a 91% cost reduction over GLM 5.2 (Zhipu).
| Traffic Volume Tier | Qwen 2.5 Coder 32B Monthly | GLM 5.2 (Zhipu) Monthly | Monthly Savings by picking Qwen 2.5 Coder 32B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.22 | $48.20 | Save $43.98 / mo |
| 10,000 reqs/mo (Small App) | $42.20 | $482.00 | Save $439.80 / mo |
| 100,000 reqs/mo (Growth Production) | $422.00 | $4,820.00 | Save $4,398.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,220.00 | $48,200.00 | Save $43,980.00 / mo |
Qwen 2.5 Coder 32B is 91% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Qwen 2.5 Coder 32B costs $0.00422 per request compared to $0.0482 on GLM 5.2 (Zhipu).
Qwen 2.5 Coder 32B offers a context window of 128,000 tokens (max output: 8,192), while GLM 5.2 (Zhipu) offers 1,000,000 tokens (max output: 64,000).
At 100,000 requests per month, using Qwen 2.5 Coder 32B saves $4,398.00 every month (or $52,776.00 annually) compared to GLM 5.2 (Zhipu).
Prompt caching is the single biggest lever — each step re-reads prior context. Summarize or prune tool outputs before appending them to the transcript. Cap the step budget; runaway loops are the #1 surprise on agent invoices.