How does NumStack calculate AI token costs?

NumStack uses real published pricing from OpenAI, Anthropic, Google, and other AI providers. Enter your typical usage (input tokens, output tokens, requests per day) to see projected monthly costs across all models.

Why do different AI models have different token prices?

Different models have different computational costs. Smaller models like GPT-4o mini or Haiku are cheaper but less capable. Larger models like GPT-4o or Claude Sonnet are more powerful but cost more per token.

How can I reduce my AI API costs?

Use smaller models for simple tasks, cache repeated prompts, trim output length (output tokens cost 3-5x more than input), and batch requests instead of real-time when latency allows.

Agent Workflow Cost Analyzer

Break down costs across multi-step AI agent workflows

Build your workflow step-by-step. Swap models and watch costs change in real-time.

Build Your Workflow

Add or remove steps and adjust tokens/requests

Step 1

Step Name

Model

Input Tokens

Output Tokens

Daily Requests

Step 2

Step Name

Model

Input Tokens

Output Tokens

Daily Requests

Step 3

Step Name

Model

Input Tokens

Output Tokens

Daily Requests

Why multi-step agents are expensive

When you chain multiple AI calls together, costs compound quickly. A 3-step workflow using GPT-4o can cost 10x more than using Haiku for simple steps. The key is matching model capability to each step's complexity.

Use this calculator to see where your agent workflow burns money. Swap one model at a time and watch how fast costs drop when you use the right tool for each job.

How to optimize agent costs

•Tier models by task: use simple models for routing, routing, complex models for reasoning
•Cache system prompts across steps where supported
•Use streaming + interruption to avoid full response generation
•Batch multiple users' requests into one step when possible
•Monitor per-step latency and drop slow models

💡 Pro tip: The cheapest 2-step workflow often costs less than a single GPT-4o call. Experiment with model combos.