Question 1

How do I optimize my AI API costs across multiple features?

Accepted Answer

Use different models for different features. Route simple tasks (chat, classification) to cheap models like Gemini Flash or DeepSeek V4 Flash, and reserve expensive models (GPT-5, Claude Opus) for complex reasoning. The AI Stack Cost Optimizer above shows you the cheapest combination for your specific stack.

Question 2

What is multi-model routing?

Accepted Answer

Multi-model routing means using different AI models for different tasks in your app. For example, use a cheap model for customer support chat, a mid-tier model for code generation, and a premium model for complex analysis. This can reduce your total AI costs by 50-70% compared to using one expensive model for everything.

Question 3

How much does a typical AI SaaS spend on APIs?

Accepted Answer

A typical AI SaaS with 1,000 daily active users spends $200-$2,000/month on AI APIs, depending on the features and models used. By optimizing your model stack (using cheaper models for simple tasks), you can reduce this to $50-$500/month. The AI Stack Cost Optimizer above estimates your specific costs.

AI Stack Cost Optimizer

Your AI Features

Optimized Stack

Savings vs Single Premium Model

Want the full breakdown?

Get the AI Stack Optimization Checklist

AI Stack Cost Optimizer

Your AI Features

Optimized Stack

Savings vs Single Premium Model

Want the full breakdown?

Get the AI Stack Optimization Checklist

Related Tools

Cost Calculator

Model Decision Tree

Cheapest LLM APIs 2026

Model Comparison Matrix

GPT-5 vs Claude Pricing

Multi-Model Routing