# Qwen3.6-35B-A3B Qwen3.6-35B-A3B is an open-weight [[Large Language Models (LLMs)|LLM]] from the [[Qwen]] family (Alibaba Cloud), released in April 2026. Following the Qwen MoE naming convention, the model has 35B total parameters with ~3B active per token (the `A3B` suffix), making it runnable on consumer hardware via quantization. ## Architecture - Mixture-of-experts (MoE) design — 35B total parameters, ~3B active per token - Open-weight release under the standard Qwen licensing terms - Distributed in GGUF format via HuggingFace (ecosystem forks by Unsloth and others) - Typical quantized builds (Q4_K_S) land around 21 GB, suitable for consumer Apple Silicon and mid-range GPUs ## Running it locally - [[Simon Willison]] documented running `Qwen3.6-35B-A3B-UD-Q4_K_S.gguf` (Unsloth Dynamic, 20.9 GB) on a MacBook Pro M5 via [[LM Studio]] - The low active-parameter count (3B) keeps inference fast despite the larger on-disk footprint - A good fit for the [[AI Expert Offloading]] strategy on hybrid CPU/GPU setups ## Notable reception - Simon Willison's tongue-in-cheek "pelican riding a bicycle" SVG benchmark: Qwen3.6-35B-A3B produced a bicycle frame with correct geometry and a recognizable pelican, while [[Claude Opus 4.7]] failed to render the frame in two attempts (including `thinking_level: max`) - The follow-up "flamingo on a unicycle" test also favored Qwen, which even added inline SVG comments like `Sunglasses on flamingo!` - Simon explicitly cautions: the pelican test is intentionally absurd and this is not evidence that a 21 GB quantized model is broadly more capable than Anthropic's flagship; narrow benchmarks are easy to over-read ## Why it matters - Demonstrates that a small-active-parameter MoE, quantized to ~21 GB, can match or beat frontier proprietary models on specific creative/spatial tasks - Reinforces the case for local, open-weight models as a practical complement to API-only frontier models - Fits the broader pattern of [[Qwen]] shipping competitive open-weight releases on a fast cadence ## References - Official announcement: https://qwen.ai/blog?id=qwen3.6-35b-a3b - Simon Willison's write-up: https://simonwillison.net/2026/Apr/16/qwen-beats-opus/ - Qwen on HuggingFace: https://huggingface.co/Qwen ## Related - [[Qwen]] - [[Qwen3.6-27B]] - [[Claude Opus 4.7]] - [[LM Studio]] - [[AI Open Weight Models]] - [[AI Expert Offloading]] - [[Large Language Models (LLMs)]] - [[Simon Willison]]