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Qwen 35B MoE model runs 4x faster than dense counterpart in local coding tests

A user on r/LocalLLaMA conducted local coding tests comparing the Qwen 35B-A3B MoE model against the Qwen 27B dense model. The MoE model demonstrated a significant speed advantage, running approximately 3.9 times faster at around 116 tokens/second compared to the dense model's 30 tokens/second. While the dense model showed a slight edge in handling complex edge cases and implicit invariants, the user found the practical difference in coding quality to be surprisingly small relative to the speed disparity. This experiment suggests that active parameter count may not be a direct indicator of practical capability, particularly in MoE architectures. AI

IMPACT Suggests MoE models may offer significant speedups with minimal quality trade-offs in certain tasks.

RANK_REASON User-conducted benchmark comparing two specific model architectures. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen 35B MoE model runs 4x faster than dense counterpart in local coding tests

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/WSTangoDelta ·

    Qwen 35B-A3B MoE vs 27B dense in local coding tests: ~4× faster, much smaller quality gap than I expected

    <!-- SC_OFF --><div class="md"><p>I compared Qwen 35B-A3B MoE against Qwen 27B dense on a series of local coding-maintenance tasks. On my R9700/llama.cpp setup, the MoE model generated about <strong>3.9× faster (~116 vs ~30 tok/s)</strong>, but the coding-quality difference was m…