One API bundles model lists, per-topic capability scores, task costs and cache pricing for building LLM routers
airesearch12 · x · 2026-09-18
The author highlights what he calls the single best datasource for building a model router, available via API. It combines, in one place:
- A list of models
- Capability scores per topic
- Actual cost per task
- Caching price per inference provider
No other source bundles all of this data together, making it a practical starting point for developers implementing topic/task-based routing across models and inference providers.
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