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r/LocalLLaMA

Using Qwen3.6 via LM Studio as a Claude Code subagent, saving 30x Opus tokens per task

A Reddit user routed Qwen3.6 through LM Studio as a Claude Code subagent and reported about 30x lower Opus marginal tokens on two audit tasks. In the examples, a 23-file route audit dropped from 13k to 0.4k marginal tokens, and an 18-file Astro site inventory fell from 89k to 3k; the setup used unsloth’s Qwen3.6-35B-A3B-MXFP4_MOE gguf on a 64GB M4 Max with a 64k context window. The key mechanism is offloading extraction and audit work to a local OpenAI-compatible server, while the post also says quality was mixed rather than strictly better than Opus.

Why it matters: A named first-person experiment with 2 clear token comparisons hits HKR-H, HKR-K, and HKR-R: strong hook, concrete setup details, and direct cost relevance for Claude Code users. It stays below p1 because the evidence is a Reddit post with only 2 tasks.

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