35B Open-Weight Model Tops Code Search at 100x Lower Cost Than Frontier Models
ypatil125 · x · 2026-09-05
Applied Compute partnered with turbopuffer to RL post-train Qwen3.6-35B-A3B to search code across 9,000 GitHub repos via a precomputed index. The small open-weight model tops the needle-in-a-haystack task outright at 2-10x lower latency and roughly 100x lower cost than frontier models, showing that targeted post-training can make small models viable search agents for large codebases.
Related event: RL-Trained 35B Open Model Cuts Code Search Costs 100x(2 posts)→
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