Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). DeepSeek Coder V2.5 delivers a 81% cost reduction over GLM-4.6 (Z.ai).
| Traffic Volume Tier | DeepSeek Coder V2.5 Monthly | GLM-4.6 (Z.ai) Monthly | Monthly Savings by picking DeepSeek Coder V2.5 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $2.744 | $14.56 | Save $11.816 / mo |
| 10,000 reqs/mo (Small App) | $27.44 | $145.60 | Save $118.16 / mo |
| 100,000 reqs/mo (Growth Production) | $274.40 | $1,456.00 | Save $1,181.60 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $2,744.00 | $14,560.00 | Save $11,816.00 / mo |
DeepSeek Coder V2.5 is 81% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), DeepSeek Coder V2.5 costs $0.002744 per request compared to $0.0146 on GLM-4.6 (Z.ai).
DeepSeek Coder V2.5 offers a context window of 128,000 tokens (max output: 8,192), while GLM-4.6 (Z.ai) offers 200,000 tokens (max output: 131,072).
At 100,000 requests per month, using DeepSeek Coder V2.5 saves $1,181.60 every month (or $14,179.20 annually) compared to GLM-4.6 (Z.ai).
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.