Qwen3.8-27B thinking xhigh Vs. thinking off - Apple M5 Max

Reddit r/LocalLLaMA News

Summary

Benchmarks on a MacBook Pro M5 Max show that disabling thinking mode in Qwen3.8-27B severely degrades output quality, while xhigh thinking mode uses 5.5x more tokens and runs 6x longer.

I ran a few benchmarks on my MacBook Pro M5 Max with oMLX: Running Qwen3.8-27B with thinking off has a big effect on output quality. Running it with thinking on xhigh burns 5.5x the tokens and runs 6x longer. The amount of thinking that Qwen3.8-27B puts into its work is really enormous - this has already been discussed a lot. The big impact of turning thinking completely off is huge - quality wise it basically puts the model behind Qwen3.6-35B-A3B and other MoE models that provide way more Tok/s. Details here: Compare Benchmark Runs | llm-bench.io
Original Article

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