Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.
This experimental preview of the architecture that will underpin Qwen4.
Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.
Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Qwen2.5 models are pretrained on Alibaba's latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.
The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.
The most powerful vision-language model in the Qwen model family to date.
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
Flagship vision-language model of Qwen and also a significant leap from the previous Qwen2-VL.
Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters
Qwen2 is a new series of large language models from Alibaba group
Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
QwQ is the reasoning model of the Qwen series.
The first installment in the Qwen3-Next series with strong performance in terms of both parameter efficiency and inference speed.
Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).
MutualistLLM is a local model for deconstructing reactionary narratives and capitalist ideology, offering grounded, coherent responses rooted in anarchist and socialist theory.
QwQ is an experimental research model focused on advancing AI reasoning capabilities.
`DeepSeekR1-QwQ-SkyT1-32B-Fusion` is a mixed model that combines the strengths of three powerful Qwen-based models: huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated, huihui-ai/QwQ-32B-Preview-abliterated and huihui-ai/Sky-T1-32B-Preview-abliterated