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r/LocalLLaMA

Actual comparison between locally run Qwen-3.6-27B and proprietary models

Actual comparison between locally ran Qwen-3.6-27B and proprietary models

The author compared 5 model setups on an autoresearch-loop task; only Qwen-3.6-27B via OpenRouter nearly solved it. The local q4_k_m run took about 8 hours and used 39k/45k tokens; full-quality Qwen used 4.4M tokens and cost $0.939. The useful signal is failure quality: both Qwen runs needed small fixes, while Gemma, Codex-Spark, and Claude Haiku 4.5 missed tests or key logic.

Why it matters: HKR-H/K/R all pass: the post has a concrete agent-test surprise, token and cost data, and local-vs-proprietary tension. Single Reddit run limits source authority, so it stays in the lower featured band.

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