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Qwen3.5 users want 18B middle ground

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Qwen3.5 users want 18B middle ground
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// 78d agoNEWS

Qwen3.5 users want 18B middle ground

A LocalLLaMA discussion argues Qwen3.5 has a practical gap between its 9B dense model and 27B dense model, with users asking for a true mid-tier option around 12B-18B. The thread shows strong demand for models sized around real local hardware constraints, not just leaderboard performance.

// ANALYSIS

Open-weight model families are now being judged as much by hardware fit as by benchmark scores, and Qwen3.5's lineup is exposing that tradeoff in real time.

  • Several commenters say the 9B model is impressively close to 27B on some benchmarks, but still too weak for users who want a reliable local coding or general-purpose daily driver.
  • The 27B dense model is treated as the quality pick, yet many users see it as too slow or too memory-hungry for comfortable local use on consumer machines.
  • Qwen3.5-35B-A3B is repeatedly suggested as the compromise option, but the thread makes clear many users do not see a small MoE as a full substitute for a true mid-size dense model.
  • The discussion reflects a broader local AI trend: parameter counts only matter insofar as they map cleanly onto common RAM and VRAM tiers like 16GB, 32GB, and 64GB systems.
// TAGS
qwen3-5llmopen-weightsinferencereasoning

DISCOVERED

78d ago

2026-03-10

PUBLISHED

79d ago

2026-03-09

RELEVANCE

7/ 10

AUTHOR

DeltaSqueezer