Qwen3.5-9B "thinking" slows local chat

// 45d agoMODEL RELEASE

Qwen3.5-9B "thinking" slows local chat

Alibaba’s Qwen3.5-9B introduces a "Thinking" phase for complex reasoning that can cause significant first-token latency, often exceeding 10 seconds on consumer hardware. This delay is frequently exacerbated by high-bit quantizations exceeding VRAM capacity, triggering slow system RAM offloading that compounds reasoning time.

// ANALYSIS

Qwen3.5-9B's reasoning-first approach marks a paradigm shift from raw inference speed to verified logical depth, though it introduces a friction point for users accustomed to the near-instant response of traditional local LLMs.

–The model’s "Thinking" mode generates explicit reasoning tokens before the final output, which is a deliberate feature for logic but a bottleneck for simple chat.
–RTX 4060 (8GB) users often trigger "VRAM spill" into system RAM when using Q8 or higher quantizations, resulting in extreme slowness that masks the model's actual performance.
–Qwen3.5-9B includes a "Thinking Budget" and "Fast Mode" to bypass or cap reasoning tokens, a critical configuration for developers building low-latency agents.
–The hybrid Gated DeltaNet architecture enables impressive intelligence density, proving that 9B parameters can compete with frontier models if given the compute time to "reason."

// TAGS

qwen3.5-9bllmreasoninggpuedge-aiopen-weightsinference

DISCOVERED

45d ago

2026-04-23

PUBLISHED

45d ago

2026-04-23

RELEVANCE

9/ 10

AUTHOR

nofishing56

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