Multi-LLM Cost & Task Matcher Dashboard

Compare LLM cost-performance by task type so devs pick the right model and control spend

Problem

Developers constantly debate subscribed LLMs vs. self-hosted open models but lack a unified way to compare cost, latency, and privacy by task type (writing, coding, analysis). Others complain a model has degraded and need a fast alternative but have no data to decide.

Solution

A decision dashboard that maps task type to model: paste a real prompt, run it against multiple LLM APIs concurrently, and quantify cost, latency, and output quality with a value ranking. Keep a personal model memory log for each switch.

Users

Indie developers, small AI product teams, engineering leads doing model selection

MVP

Integrate 4–6 major APIs; select task type (code/writing/analysis); run in parallel and record token cost & latency; show value ranking and recommendation; export call logs as CSV

Revenue

Free tier 100 comparisons/month; personal subscription $9/mo unlimited; team plan $29/mo with shared history; API proxy pass-through with markup

Why now

LLM providers update frequently with quality swings, budgets are tightening, and selection shifts from 'which is best' to 'which is most cost-effective'—a thin comparison layer is a fast indie bet