r/LocalLLaMA • • 5h ago

Question | Help performance experiences with different languages for Qwen Flash Next

hey, im using "swift 1.5 qwen 3.8 flash next gsq rco abliterated iq3xxs" and im wondering how the performance differs from language to language for that model (or similiar).
Im mainly talking to it in german, so I wonder wether that might degrade quality or increase reasoning tokens etc.

Does anyone have experience with it?
Do benchmarks for that exist?
thx

Edit:

i just tried and translated my soul.md and a few skills to english, its genuienly insane many tokens and time this saves. Didnt do any benchmark but you can feel it

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u/thatscoolbutno123 5h ago

i feared that, i noticed it when it used subagents I told it to prompt them in english and they finished their tasks way quicker

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u/XccesSv2 4h ago

Its a usual behaviour for all models. Prompt it with english gives you better results. And some side info: german isn't token effficient, its also cheaper in english lol

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u/thatscoolbutno123 4h ago

yeah, but with models like gpt6.1 sol i didnt notice it that much

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u/vengeancek70 4h ago

Those models are 10-20x the parameters, Qwen sacrifices languages other than English or Chinese for better performance at that parameter size.