Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Kimi K2.7 Code (OpenRouter) delivers a 24% cost reduction over DeepSeek V4 Pro.
| Traffic Volume Tier | DeepSeek V4 Pro Monthly | Kimi K2.7 Code (OpenRouter) Monthly | Monthly Savings by picking Kimi K2.7 Code (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $25.564 | $19.42 | Save $6.144 / mo |
| 10,000 reqs/mo (Small App) | $255.64 | $194.20 | Save $61.44 / mo |
| 100,000 reqs/mo (Growth Production) | $2,556.40 | $1,942.00 | Save $614.40 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $25,564.00 | $19,420.00 | Save $6,144.00 / mo |
Kimi K2.7 Code (OpenRouter) is 24% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Kimi K2.7 Code (OpenRouter) costs $0.0194 per request compared to $0.0256 on DeepSeek V4 Pro.
DeepSeek V4 Pro offers a context window of 1,000,000 tokens (max output: 384,000), while Kimi K2.7 Code (OpenRouter) offers 262,144 tokens (max output: 235,929).
At 100,000 requests per month, using Kimi K2.7 Code (OpenRouter) saves $614.40 every month (or $7,372.80 annually) compared to DeepSeek V4 Pro.
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.