Qwen has released the Qwen3.8-27B model, available for download on ModelScope and Hugging Face.
The release includes performance charts comparing the new model against previous iterations and other local options. The source text highlights the model's capabilities in both text and vision tasks.
Alibaba has announced Qwen3.8-Max as its new flagship model, describing it as a 2.4T-parameter sparse architecture focused on long-horizon agentic work, coding, and multimodal reasoning. The company confirmed that open weights for Qwen3.8-Max will be released next week alongside the open-weight Qwen3.8-27B variant.
Qwen3.8-Max (2.4T) is a new open-weight model that performs closely to Kimi K3 and DeepSeek V4 Flash across all benchmark categories, while demonstrating superior performance in coding and software tasks.
Qwen 3.8-Max has been released and currently holds the #2 position in the Vision Arena leaderboard, trailing only Claude Fable 5 Max.
InternScience has released Agents-A1-4B, a dense model based on Qwen3.5-4B designed to improve performance in long-horizon search and agentic workflows without increasing parameter count.
Alibaba Cloud has open-sourced the Qwen2.5 series of decoder-only dense language models, adding three new sizes (3B, 14B, and 32B) to the existing lineup ranging from 0.5B to 72B parameters. This update expands the pre-training dataset from 7 trillion to 18 trillion tokens and integrates technical breakthroughs from Qwen2.5-Coder and Qwen-math to significantly improve performance in coding, mathematics, and general knowledge.
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