 | I've been running workloads that I typically only trust Opus and Codex with, and I can confirm 3.6 is really capable. Of course, it's not at the level of those models, but it's definitely crossing the barrier of usefulness, plus the speed is amazing running this on an M5 Max 128GB 8bit 3K PP, 100 TG on oMLX + Pi.dev Just ensure you have `preserve_thinking` turned on. Check out details here. [link] [comments] |
qwen3.6 performance jump is real, just make sure you have it properly configured
Reddit r/LocalLLaMA / 4/18/2026
💬 OpinionSignals & Early TrendsTools & Practical UsageModels & Research
Key Points
- A Reddit user reports that Qwen 3.6 shows a noticeable real-world performance jump on workloads they usually only trust Opus and Codex with.
- They emphasize that while Qwen 3.6 is not at the exact level of those models, it has crossed the threshold of practical usefulness.
- The user highlights impressive inference speed when running on an M5 Max 128GB with an 8-bit 3K setup and specifically mentions using oMLX and Pi.dev for performance.
- They attribute part of the improvement to correct configuration, recommending that `preserve_thinking` be turned on.
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