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Qwen3.5-35B-A3B tops 27B dense for long context

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Qwen3.5-35B-A3B tops 27B dense for long context
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// 45d agoMODEL RELEASE

Qwen3.5-35B-A3B tops 27B dense for long context

Developers are benchmarking Qwen3.5-35B-A3B against dense alternatives for 262K context tasks on consumer GPUs. The model's hybrid architecture makes it a favorite for local long-context retrieval and coding.

// ANALYSIS

The hybrid Gated DeltaNet and MoE architecture enables linear compute scaling, making 262K context performant on a single 3090 or 4090. By activating only 3B parameters, the model achieves a 3-4x speedup over dense models like Qwen 2.5 32B. IQ4XS quantization is the recommended sweet spot to avoid performance collapse, while the native 262K window (extensible to 1M) avoids common needle-in-a-haystack issues.

// TAGS
qwen3.5-35b-a3bqwenllmopen-weightsmoelong-contextai-coding

DISCOVERED

45d ago

2026-04-28

PUBLISHED

45d ago

2026-04-28

RELEVANCE

8/ 10

AUTHOR

My_Unbiased_Opinion