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Qwen 3.5 "thinking" issue plagues larger models
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REDDIT · REDDIT// 3h agoMODEL RELEASE

Qwen 3.5 "thinking" issue plagues larger models

Users report that larger Qwen 3.5 models (27B and 35B) exhibit "thinking anxiety," either producing shallow 1-2 sentence reasoning traces before failing tasks or entering infinite reasoning loops. While the 9B model reasons properly, the larger variants appear sensitive to quantization and sampling parameters, requiring manual tuning to function effectively.

// ANALYSIS

The Qwen 3.5 "thinking" bug highlights the fragile nature of internal reasoning traces in open-weights models, demonstrating that larger scale doesn't always guarantee smarter logic. The 27B and 35B variants often skip deep reasoning or enter repetitive loops, requiring community workarounds like increased Presence Penalty and manual tuning of sampling parameters. These issues, exacerbated by low-precision quantization, suggest a possible alignment mismatch between the small and mid-sized versions of the Qwen 3.5 family.

// TAGS
llmqwen-3-5reasoningopen-weightsbenchmarkai-coding

DISCOVERED

3h ago

2026-04-15

PUBLISHED

3h ago

2026-04-15

RELEVANCE

8/ 10

AUTHOR

Glad-Mode9459