QwQ-32B-Preview: Alibaba's Qwen Reasoning Model with Deep Reflection Capabilities
Alibaba's Qwen team has released QwQ-32B-Preview, a 32-billion parameter model designed for deep reasoning across mathematics, code, and general knowledge. The model is positioned as a reasoning-focused system that emphasizes uncertainty and iterative questioning as core design principles. It is available on GitHub, Hugging Face, ModelScope, and via a demo interface.
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QVQ-72B-Preview: Qwen Visual Reasoning Model Release
Alibaba's Qwen team has released QVQ-72B-Preview, a 72-billion parameter multimodal model designed to integrate visual understanding with advanced reasoning capabilities. The model is positioned as an extension of Qwen's language reasoning work into the visual domain. It is available on GitHub, Hugging Face, ModelScope, and Kaggle with a live demo.
QwQ-32B: Scaling Reinforcement Learning for Enhanced Reasoning
Alibaba's Qwen team releases QwQ-32B, a 32-billion parameter model trained with scaled Reinforcement Learning to improve reasoning capabilities beyond conventional pretraining and post-training methods. The release draws explicit comparison to DeepSeek R1's cold-start and multi-stage RL training approach. The model is available via Qwen Chat, Hugging Face, ModelScope, and a demo interface. This represents Qwen's exploration of RL scalability as a path to enhanced LLM intelligence.
QVQ-Max: Alibaba Qwen Releases Visual Reasoning Model with Multimodal Chain-of-Thought
Alibaba's Qwen team has officially released QVQ-Max, a visual reasoning model succeeding the December 2024 QVQ-72B-Preview. The model is designed to analyze and reason over images and videos, covering domains including mathematics, programming, and creative tasks. It represents a step beyond the exploratory preview, positioning as a production-grade multimodal reasoning system.
QwQ-Max-Preview Released by Qwen Team
Alibaba's Qwen team has released QwQ-Max-Preview, a preview version of their reasoning-focused model built on top of Qwen2.5-Max. The post is itself generated by the model, serving as a demonstration of its capabilities. As a preview release, it signals an upcoming full model launch in the Qwen series.
DeepSeek releases R1-0528-Qwen3-8B distilled reasoning model on Hugging Face
DeepSeek released DeepSeek-R1-0528-Qwen3-8B, an 8B parameter text-generation model on Hugging Face, combining the R1-0528 reasoning capabilities with a Qwen3 base. The model has accumulated over 306K downloads and 1K likes shortly after release, indicating strong community uptake. This appears to be a distilled version of the R1-0528 reasoning model targeting smaller-scale deployment.
Qwen1.5-32B: Alibaba's 30B-Parameter Capstone for the Qwen1.5 Series
Alibaba's Qwen team released Qwen1.5-32B, a ~30 billion parameter open-weights language model positioned as the capstone of the Qwen1.5 series. The model targets the emerging consensus around 30B parameters as an optimal balance between performance, memory footprint, and inference efficiency. It is released alongside code on GitHub, weights on HuggingFace and ModelScope, and an interactive demo.
Qwen2.5-Math Process Reward Model for Mathematical Reasoning Supervision
Alibaba's Qwen team introduces a process reward model (PRM) aimed at improving the reliability of mathematical reasoning in LLMs by supervising intermediate reasoning steps rather than only final answers. The work addresses the problem of models producing plausible but flawed intermediate derivations even when reaching correct conclusions. The release includes model weights on HuggingFace and ModelScope alongside a GitHub repository.
Qwen3 Release: Flagship 235B MoE and Full Model Family Announced
Alibaba's Qwen team has released Qwen3, a new family of large language models including the flagship Qwen3-235B-A22B mixture-of-experts model. The flagship model claims competitive benchmark performance against DeepSeek-R1, OpenAI o1/o3-mini, Grok-3, and Gemini-2.5-Pro on coding, math, and general capabilities. A smaller MoE variant, Qwen3-30B-A3B, reportedly outperforms QwQ-32B despite using only one-tenth the activated parameters, and the 4B model is said to match Qwen2.5's larger models. Models are available across Hugging Face, ModelScope, and Kaggle.