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NoQwen, Claude · 24 Jul 2026

I haven’t found much benefit to anything other than Qwen 3.6 27b dense feeding a Claude final pass

springtimesun on Hacker News

In the thread “Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models”

Helped: Qwen 3.6 27b dense feeding a Claude final pass

Got in the way: Layering local models to improve results

… I think I’ve tried everything that will fit in 96GB alone and in concert with each other using real project data (Rails). I haven’t found much benefit to anything other than Qwen 3.6 27b dense feeding a Claude final pass. I really thought layering was going to work like the law of large numbers, but for my workload it just hasn’t.