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Qwen3.5 user pushes back on overthinking

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Qwen3.5 user pushes back on overthinking
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// 66d agoMODEL RELEASE

Qwen3.5 user pushes back on overthinking

A Reddit user says Qwen3.5 35B-A3B and 27B produce concise, high-quality answers under stock llama.cpp settings, without the runaway reasoning people describe. They say both Unsloth-recommended and Qwen-recommended sampler presets produced garbled output, while removing custom params fixed the experience.

// ANALYSIS

My read: the "overthinking" reputation looks at least partly like a reproducibility problem, not a model flaw. The same Qwen3.5 can look crisp or chaotic depending on the sampler, prompt template, and tool stack around it.

  • The poster keeps the setup intentionally small: defaults only, one local server, and four simple tools.
  • That makes the anecdote useful because it strips out a lot of agentic complexity that can inflate reasoning traces.
  • Qwen's own model card says Qwen3.5 thinks by default and recommends specific sampling settings, so "pure defaults" is a legitimate baseline.
  • The post is a reminder that local-model anecdotes are hard to compare unless people share prompts, temperatures, top-p values, context size, and tool definitions.
  • This does not disprove the overthinking complaints, but it does suggest they may be workflow-specific rather than universal.
// TAGS
qwen-3.5llmreasoninginferenceself-hostedopen-weightsprompt-engineering

DISCOVERED

66d ago

2026-03-22

PUBLISHED

66d ago

2026-03-22

RELEVANCE

9/ 10

AUTHOR

wadeAlexC