# SwitchCost

- **Event:** [Nebius.Build SF](https://cerebralvalley.ai/e/nebius-build-sf)
- **When:** Sun, Mar 15 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Ayush Ojha](https://cerebralvalley.ai/u/ayushojha)
- **GitHub:** https://github.com/Ayush10/switchcost
- **Demo video:** https://drive.google.com/drive/folders/1xDd1oYWUGaOGjoDDGtYCPLEL_bjQbrZT?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery/25

SwitchCost is an AI inference migration engine that helps teams safely move from expensive proprietary models (GPT-4, Claude, Gemini) to open-source alternatives on Nebius Token Factory while maintaining quality parity. It works in three steps: first it decomposes a complex agentic task into typed subtasks (classify, extract, summarize, reason, search, generate), then replays each subtask against all available open models across Nebius and OpenRouter while scoring quality via an LLM-as-judge, and finally recommends the cheapest model per subtask type that maintains >80% quality — projecting monthly savings at configurable call volumes. The result is a data-driven migration plan with a live dashboard showing a quality heatmap, cost comparison charts, and an interactive savings calculator, turning what used to be a risky gut-feel switch into a confident, evidence-backed decision.

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Markdown version of https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery/25. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt