# Estimate Your AI Cost Savings & Revenue Potential
Enter your model spend, test different cost controls and monetization strategies, and see how your potential savings and revenue change in real time.
01 — Current model spend
02 — Cost controls
Kong mechanisms that reduce what you pay providers. Applied in sequence, so savings never double-count.
Model routing
Route eligible traffic to cheaper models with equal quality
Semantic caching
Serve semantically similar prompts from cache — zero provider cost
Token-based rate limiting
Cap runaway consumers and agents; eliminate waste and abuse
03 — Monetization
Turn your AI infrastructure into revenue with usage-based billing on the gateway.
Usage-based model access
Bill internal teams or customers per token consumed
MCP server access
Sell metered access to your MCP servers and tools
Agent access
Charge third-party agents for governed API access
Estimates only: your real world results may differ based on a number of different factors, including specific pricing and policies of the AI models you implement, which may change in the future, and your specific configuration of the AI Gateway product. This simulator assumes a lower cost on routed traffic, and a straight-line cost or revenue impact as opposed to what may occur in stepped-pricing or other pricing scenarios; furthermore, controls apply sequentially so savings doesn't exceed spend.
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