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title: QWEN3.6 MTP vs Non-MTP on M5 Max — I Hit 113 t/s, But...
description: A hands-on benchmark comparing Qwen 3.6 35B (A3B) with and without Multi-Token Prediction (MTP) enabled, running locally on an Apple M5 Max via LM Studio....
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og:description: A hands-on benchmark comparing Qwen 3.6 35B (A3B) with and without Multi-Token Prediction (MTP) enabled, running locally on an Apple M5 Max via LM Studio....
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# QWEN3.6 MTP vs Non-MTP on M5 Max — I Hit 113 t/s, But Which One Did It?

**[Execute Automation](https://daily.dev/sources/executeautomation)** · 12 min read · 1 upvotes · 0 comments

## Summary

A hands-on benchmark comparing Qwen 3.6 35B (A3B) with and without Multi-Token Prediction (MTP) enabled, running locally on an Apple M5 Max via LM Studio. Using a PI coding agent as the workload, the MTP model achieved ~109 t/s in round one but dropped to ~85 t/s in round two (average 97.7 t/s), while the non-MTP model held steadier at ~89-90 t/s across both rounds. MTP wins on average speed (~8.8% faster) and produces more verbose output, but its draft token acceptance rate degrades over longer sessions as context grows. Claude Desktop was used to analyze and visualize the raw stats.

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daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=DhGUi4CtJRg>

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---

Tags: [#ai-inference](https://daily.dev/tags/ai-inference), [#lm-studio](https://daily.dev/tags/lm-studio), [#local-ai](https://daily.dev/tags/local-ai), [#qwen](https://daily.dev/tags/qwen)

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