Calculate and compare costs across 29 AI models for text, image, video, and audio APIs. Helps developers estimate spending and choose cost-effective models for their projects.
io.github.ufhouck/aicost-cli
Local install
STDIO
No auth required
How models use it and what it is built for.
Calculate and compare costs across 29 AI models for text, image, video, and audio APIs. Helps developers estimate spending and choose cost-effective models for their projects.
Local install — runs as a subprocess.
Where to find authoritative docs and source for AI-Cost-CLI.
Paste any of these into Agent Studio after connecting AI-Cost-CLI.
Common questions about connecting and running AI-Cost-CLI.
What AI models does aicost-cli support?
The server covers 29 models across text, image, video, and audio categories. It includes popular options like GPT-4, Claude, DALL-E, and others. Check the documentation for the complete current list.
How do I install and run aicost-cli?
Install via `uvx aicost-cli@1.1.0`. The server runs over stdio transport, making it compatible with MCP clients. No additional configuration is required to get started.
Can aicost-cli help me choose between models?
Yes, the server includes a recommender feature that compares costs and helps you select cost-effective models for your use case based on your requirements.
Does aicost-cli require API keys to calculate costs?
Cost calculation uses publicly available pricing data, so you don't need API keys to estimate expenses. However, actual usage tracking may require integration with your API providers.
How often are the pricing rates updated?
Refer to the project repository for information on pricing update frequency. AI model pricing changes regularly, so check the docs to understand how current the data is.
MCP Playground runs 10,000+ hosted MCP servers — GitHub, Linear, Notion, Stripe, Sentry and more — across Claude, GPT, Gemini, DeepSeek and 30+ AI models. Compare model answers side-by-side, save agent presets, share runs. Zero install.
Open Agent Studio