Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
2.85T2 sourceHacker News · Show HN (50+ points)
Source record
Published by Hacker News · Show HN (50+ points) (T2 source). The original is at https://news.ycombinator.com/item?id=49026810.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryBuilder presents Echo, a system that routes each prompt across a pool of open-weight models, deciding compute allocation and combining outputs. Author reports it matches Fable's aggregate benchmark results at roughly one-third the inference cost and outperforms the best individual model in the pool.
Why it mattersConcrete first-hand evidence that per-prompt model routing and combining can cut inference cost meaningfully, with a usable chat interface and OpenAI-compatible API.
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