REDDIT · REDDIT// 5h agoNEWS

Qwen 3.5 "thinking" mode sparks local LLM latency debate

Local LLM users are increasingly reporting frustration with the "deliberation" latency in the recently released Qwen 3.5-9B, leading many to seek "direct-response" alternatives like Google’s Gemma 4 and Meta’s Llama 4. While the model's new reasoning capabilities excel at complex logic, the forced chain-of-thought process adds significant overhead to simple interactions, highlighting a growing UX divide between reasoning-heavy models and fast, chat-optimized weights.

// ANALYSIS

The bifurcation of the LLM market into "Reasoning" and "Standard" tiers is creating a friction point for local deployment where VRAM and latency are at a premium.

–Qwen 3.5-9B's "Thinking" mode can add up to 30 seconds of deliberation for a simple greeting, a "feature" that users are finding increasingly intrusive for daily use.
–Gemma 4 (26B) and Llama 4 (8B) have become the "gold standards" for users who prefer silent, internal reasoning over visible, time-consuming monologues.
–Advanced local tools like Ollama and LM Studio are responding by adding "Reasoning Toggles" and budget flags (`--reasoning-budget 0`) to bypass these delays.
–The community is pivoting toward MiMo-V2-Flash and other low-latency MoE models for agentic pipelines where "overthinking" breaks tool-calling efficiency.
–This trend suggests that foundation model providers must implement "auto-skip" reasoning for low-complexity prompts to maintain UX fluidity.

// TAGS

qwen-3.5llmreasoninglocal-llmgemma-4llama-4open-source

DISCOVERED

5h ago

2026-04-24

PUBLISHED

8h ago

2026-04-24

RELEVANCE

8/ 10

AUTHOR

No_Technician_8031