Qwen 3.5 debate: 27B reasoning vs. 35B-A3B speed

The 27B vs 35B-A3B choice highlights the growing fork between "reasoning models" and "agentic infrastructure."

• –Qwen 3.5 27B delivers frontier-class reasoning (72.4 SWE-bench) that remains the gold standard for complex coding and structural logic where accuracy is paramount.
• –The 35B-A3B model, with only 3B active parameters, achieves a 5x speedup (up to 500 TPS), making it the "engine" of choice for high-volume RAG and autonomous agents.
• –For 16GB VRAM users, the MoE model is arguably superior as it avoids the "intelligence cliff" seen when quantizing the 27B dense model below 4-bit.
• –Integration of Gated DeltaNet architecture ensures that context scaling (up to 1M tokens) doesn't suffer the exponential latency penalties of previous generations.