A high-engagement r/LocalLLaMA post surfaced the Qwen3.5-35B-A3B model card on Hugging Face. The card emphasizes MoE efficiency, long context handling, and deployment paths across common open-source inference stacks.
Users on r/LocalLLaMA have spotted Qwen3.5 model names appearing in Alibaba's official Qwen chat interface, signaling an imminent release of the next generation of Alibaba's open-source LLM series.
Alibaba launched Qwen3.5, a 397B-parameter open-weight multimodal model supporting 201 languages. The company claims it outperforms GPT-5.2, Claude Opus 4.5, and Gemini 3 on benchmarks, while costing 60% less than its predecessor.
The Qwen research team has officially confirmed through a published paper that GPQA and HLE (Humanity's Last Exam) benchmark datasets contain serious quality issues — including OCR errors, incorrect gold-standard answers, and unverifiable questions — casting doubt on the reliability of current AI model evaluations.
Alibaba launched Qwen 3.5 on February 16 under Apache 2.0, featuring 397B parameters with a sparse MoE architecture (17B active), 256K context, and native multimodal capabilities matching leading US proprietary models on key benchmarks.
A r/LocalLLaMA post on Qwen3.5 gained 123 upvotes and pointed directly to public weights and model documentation. The linked card confirms key specs including 397B total parameters, 17B activated, and 262,144 native context length.