Applied Compute claims 100x lower code-search cost than a frontier model

Applied Compute says its 35-billion-parameter, open-weight model searches a precomputed index to answer repository-search questions at 100x lower cost than a frontier model. The company says Qwen3.6-35B-A3B, trained in partnership with turbopuffer, also tops the needle-in-a-haystack task at 2–10x lower latency.