Simulating realistic Customer support chatbot parameters (3,500 in / 350 out with 70% cache reuse). Kimi K3 (Moonshot) delivers a 42% cost reduction over Perplexity Sonar Pro.
| Traffic Volume Tier | Perplexity Sonar Pro Monthly | Kimi K3 (Moonshot) Monthly | Monthly Savings by picking Kimi K3 (Moonshot) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $15.75 | $9.135 | Save $6.615 / mo |
| 10,000 reqs/mo (Small App) | $157.50 | $91.35 | Save $66.15 / mo |
| 100,000 reqs/mo (Growth Production) | $1,575.00 | $913.50 | Save $661.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $15,750.00 | $9,135.00 | Save $6,615.00 / mo |
Kimi K3 (Moonshot) is 42% cheaper for Customer support chatbot workloads. At standard Customer support chatbot parameter ratios (3,500 input tokens, 350 output tokens, 70% cache hit), Kimi K3 (Moonshot) costs $0.009135 per request compared to $0.0158 on Perplexity Sonar Pro.
Perplexity Sonar Pro offers a context window of 200,000 tokens (max output: 8,192), while Kimi K3 (Moonshot) offers 1,000,000 tokens (max output: 64,000).
At 100,000 requests per month, using Kimi K3 (Moonshot) saves $661.50 every month (or $7,938.00 annually) compared to Perplexity Sonar Pro.
Cache the system prompt and static documentation chunks — cached input is often 4–10× cheaper. Route simple FAQ turns to a nano-tier model and escalate only complex tickets. Cap max_output per reply; support answers rarely need more than a few hundred tokens.