AI Briefing#qwen
The latest AI and developer news about #qwen, with the original source and a short summary.
The latest AI and developer news about #qwen, with the original source and a short summary.
Chinese AI companies are emerging as the central axis of the open-source ecosystem by actively releasing their models and research achievements.
AWS significantly boosted multi-turn agent performance using online RL with a small amount of data.
Qwen has released two multimodal search models that handle text, images, and video together.
Toss combined MCP, Multi-Agent, and Open Model to build a vulnerability analysis automation system with over 95% accuracy.
Qwen-Image-Edit-2511 reduces image drift and significantly improves single- and multi-person consistency.
It decomposes an image into RGBA layers so each element can be edited independently.
**Qwen3-Omni-Flash-2025-12-01** has been upgraded to handle speech, vision, and text more reliably across the board.
SAPO stabilizes LLM reinforcement learning by using smooth gating instead of hard clipping.
Qwen3-TTS-Flash now supports 49 voices, 10 languages, and 9 dialects.
With SDK 2025.3, RNGD achieves 3x throughput and a 35% improvement in TTFT on Llama 3.3 70B.
HuggingFace has developed Jupyter Agent, which performs data science tasks by executing code within a notebook environment.
Qwen-TTS now supports 3 Chinese dialects and Chinese-English bilingual speech.
Qwen3 is an open-weight model with a hybrid thinking mode and support for 119 languages.
Qwen has released Qwen2.5-VL-32B-Instruct, an open-source multimodal model at 32B scale optimized for performance through reinforcement learning.
Qwen released **QwQ-32B**, a model that achieves reasoning performance comparable to DeepSeek-R1 through reinforcement learning.
Qwen has released **QwQ-Max-Preview**, which enhances reasoning and coding performance, and has previewed future app launches and open-sourcing of small models.
Qwen has released the Qwen2.5-1M series, open-source models supporting up to 1 million tokens of context length.
Qwen has released Qwen2.5-VL, its next-generation vision-language model with agentic capabilities and long-video understanding.
Qwen has released a new PRM and benchmark called ProcessBench that identifies step-by-step errors in mathematical reasoning.
The Qwen team has released QVQ, an open-weight multimodal model with enhanced visual reasoning capabilities.
Qwen Team has released **QwQ-32B-Preview**, an experimental model with enhanced deep reasoning capabilities in mathematics and coding.
The Qwen team has released a large-scale model, **Qwen-Max-0428**, which surpasses the performance of the existing Qwen1.5-110B-Chat.
The Qwen team has released Qwen1.5-110B, a 100B-scale model with performance on par with Llama-3-70B.
Qwen has released CodeQwen1.5-7B, an open-source code-specialized LLM trained on 3 trillion code tokens.