Qwen
Qwen is an open-source large language model developed by Alibaba that has gained significant adoption across multiple sectors. Recently, Qwen has been integrated into commercial applications including Uber Eats' search system and Apple Intelligence in China, while also being widely used by Western AI startups and research labs as a foundation for developing new open-model adaptations. The model has also been compressed for mobile deployment, with optimized versions running on iPhones, and has been utilized to generate college recommendation reports for Chinese students.
Updated 3 August 2026
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Latest developments
Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date
MarkTechPost · 6 hours ago ·
47
Why DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different Ways
TLDR · 5 days ago ·
49
Anxious Chinese students are trusting AI to help pick colleges and majors
Rest of World · 5 days ago ·
37
America’s Open-Model Paradox
Sequoia · 1 week ago ·
45
Arcee, a US open source AI lab, says Chinese models are not inherently dangerous
TechCrunch AI · 1 week ago ·
28
Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
Interconnects · 1 week ago ·
8
The U.S. wants to contain China’s AI. Silicon Valley keeps using it
Rest of World · 1 week ago ·
39
7 Consequences of America Finally Losing Its AI Edge to China
The Algorithmic Bridge · 1 week ago ·
34
2026
Alibaba releases Qwen3.8-Max, a 2.4 trillion parameter multimodal AI model Model release
Moonshot AI releases Kimi K3, a 2.8 trillion parameter open-weight model achieving frontier-class performance Open source release
Moonshot AI releases Kimi K3, a 2.8 trillion-parameter open-weight model competing with frontier American systems Model release
Apple Intelligence receives regulatory approval to launch in China through partnerships with Alibaba and Baidu Feature update
- Alibaba Qwen Releases Qwen3.8-Max: A 2.4 Trillion Parameter MoE Model and the Most Capable One in the Qwen Family to Date
- Why DoorDash, Instacart, and Uber Eats Integrated LLMs Into Search Three Different Ways
- Anxious Chinese students are trusting AI to help pick colleges and majors
- America’s Open-Model Paradox
- Arcee, a US open source AI lab, says Chinese models are not inherently dangerous
- Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
- The U.S. wants to contain China’s AI. Silicon Valley keeps using it
- 7 Consequences of America Finally Losing Its AI Edge to China
- Apple Intelligence approved for launch in China with Alibaba and Baidu
- Apple Intelligence approved for launch in China with Alibaba’s Qwen AI
- Apple in talks with startup that shrinks AI models to run on an iPhone
- Deploying quantized models on Amazon SageMaker AI with Unsloth
- Apple Exploring Ways to Run Much Larger AI Models Directly on iPhones
- Experiences with local models for coding
- jamesob's guide to running SOTA LLMs locally
- We got local models to triage the OpenClaw repo for FREE!*
- A Visual Guide to Attention Variants in Modern LLMs
- CoderForge-Preview: SOTA open dataset for training efficient coding agents
- What do LLMs think when you don't tell them what to think about?
2025
Together AI Integrates PyTorch Reinforcement Learning Capabilities into AI Cloud Platform Partnership
- How to run TorchForge reinforcement learning pipelines in the Together AI Native Cloud
- Together AI delivers fastest inference for the top open-source models
- LLM Inference on Edge: A Fun and Easy Guide to run LLMs via React Native on your Phone!
- ... QwQ-Max-Preview
2024
Alibaba Releases Qwen Series of Open-Source Large Language Models and Multimodal Variants Open source release
- Qwen2-Audio: Chat with Your Voice!
- Generalizing an LLM from 8k to 1M Context using Qwen-Agent
- Introducing Qwen-VL
- Introducing Qwen