GPU vs Token Inference Cost Comparator

Helps developers compare costs between per-GPU-hour and per-token pricing for open-source LLM inference.

Problem

Developers choosing an open-source LLM inference solution are confused about whether to pay per pre-configured GPU hour or per token. They need a clear comparison of costs and use cases, especially to determine which is more economical at higher usage.

Solution

Provide a cost calculator and comparison platform where users input model, expected token volume, and usage patterns to estimate costs for both per-GPU-hour and per-token pricing, and get recommendations. It can also list real-time prices from major providers.

Users

ML engineers, indie developers, small AI teams deploying open-source LLM inference.

MVP

Support mainstream open-source models (Llama, Mistral, etc.) and providers (AWS, Lambda, Together, etc.); input parameters to estimate costs; side-by-side comparison of both pricing models; offer recommendations; save configurations.

Revenue

Free basic tier, premium tier with real-time price API, batch calculations, and team collaboration (subscription).

Why now

Demand for open-source LLM inference is surging, but cost structures are complex and developers need transparent comparison tools. An indie developer can quickly aggregate data and build a calculator.