OPEN_SOURCE ↗
REDDIT · REDDIT// 3h 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
3h ago
2026-04-28
PUBLISHED
5h ago
2026-04-28
RELEVANCE
8/ 10
AUTHOR
My_Unbiased_Opinion