WeDLM: Reconciling Diffusion Language Models with Standard Causal Attention for Fast Inference

GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods, offering exceptional performance in both coding and agentic tasks. Qwen3-Coder-480B-A35B-Instruct sets new state-of-the-art results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use, comparable to Claude Sonnet 4.

Abstract page for arXiv paper 2601.13976: FantasyVLN: Unified Multimodal Chain-of-Thought Reasoning for Vision-Language Navigation

QWEN CHAT GitHub Hugging Face ModelScope Kaggle DEMO DISCORD Introduction Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general capabilities, etc., when compared to other top-tier models such as DeepSeek-R1, o1, o3-mini, Grok-3, and Gemini-2.5-Pro. Additionally, the small MoE model, Qwen3-30B-A3B, outcompetes QwQ-32B with 10 times of activated parameters, and even a tiny model like Qwen3-4B can rival the performance of Qwen2.

Abstract page for arXiv paper 2602.04804: OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models

Hunyuan-GameCraft

StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation

Abstract page for arXiv paper 2602.07120: Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model

Abstract page for arXiv paper 2601.14232: KAGE-Bench: Fast Known-Axis Visual Generalization Evaluation for Reinforcement Learning