REDDIT · REDDIT// 6h agoMODEL RELEASE

Qwen3.6-Plus Needs preserve_thinking for Local Work

Qwen3.6-Plus is being reported as a meaningful quality jump for local LLM workloads, especially for coding, agentic use, and other tasks people usually reserve for top-tier hosted models. The main caveat is configuration: users are saying the model only shows its best behavior when `preserve_thinking` is enabled, which keeps reasoning context intact across turns.

// ANALYSIS

Hot take: this sounds less like hype and more like the first local Qwen release that crosses the "actually useful in production-ish workflows" threshold.

–The strongest signal here is repeated user feedback that the model feels materially better on real tasks, not just synthetic benchmarks.
–`preserve_thinking` appears to be the critical setting; without it, you may not be seeing the model's intended reasoning behavior.
–The post is about deployment experience, not an official launch, so the value is in the setup detail and local performance report.
–The M5 Max / 8-bit / high-throughput setup suggests this is especially interesting for people trying to run a capable model without cloud inference.

// TAGS

qwenqwen3-6-plusllmlocal-aireasoningcodingpreserve_thinkingmlxomlx

DISCOVERED

6h ago

2026-04-18

PUBLISHED

8h ago

2026-04-18

RELEVANCE

8/ 10

AUTHOR

onil_gova