Our Mission
NumStack helps developers and AI teams make informed decisions about language model infrastructure costs. Managing AI costs is complex — we built NumStack to eliminate that friction.
The Problem We Solve
When building with AI APIs, you face these questions:
- Which provider is cheapest? OpenAI vs Anthropic vs Google vs open-source
- How much will this cost? Unknown token usage makes budgeting impossible
- How do I optimize? Some models are 10x cheaper with similar performance
- What's the best model? Trade-offs between quality and cost
NumStack answers all of these in seconds.
How It Works
- Choose a provider (OpenAI, Anthropic, Google, Mistral, etc.)
- Pick your model
- Enter your monthly token usage
- See the cost + compare alternatives
Who Uses NumStack
- Startup founders building AI products on tight budgets
- ML engineers optimizing production AI systems
- AI teams comparing vendor costs before migration
- Students & researchers learning about LLM economics
- CTOs & architects planning infrastructure spending
What Makes Us Different
- No sign-up required — Start immediately
- All major providers — OpenAI, Anthropic, Google, Mistral, and more
- Real pricing data — Updated as providers change rates
- Simple interface — No complex spreadsheets
- Completely free — No premium tiers
Our Commitment
We believe AI infrastructure costs should be transparent and easy to understand. NumStack is built by developers, for developers.