Qwen has released Qwen-Image-2.1, an open-source image model with 7 billion parameters that integrates generation and editing.
Qwen has released Qwen3.8-LiveTranslate, a real-time interpretation model featuring speaker timbre preservation and source-translation synchronization.
Qwen has released Qwen3.8-Omni-Flash, featuring enhanced real-time audio-visual interaction and agent capabilities, along with related open-source tools.
The Qwen team, in collaboration with Taobao, released E-Commerce Bench, a long-term operational agent benchmark based on one year of real market data.
The Qwen team released Qwen-Drive-1.0, a vision-language foundation model dedicated to autonomous driving that integrates 3D perception and motion planning.
Qwen3.8-Flash-Next demonstrates superior performance compared to existing models at 1/9 the cost.
Qwen has unveiled the 2.4T-parameter Qwen3.8-Max and announced an upcoming open-weight release.
The Qwen team has released Qwen-AgentWorld, a native language world model that simulates 7 domains.
The Qwen team has unveiled three robot foundation models that connect vision-language understanding to physical action.
Qwen-RobotManip is a VLA foundation model with outstanding generality, trained on 38,100 hours of large-scale data through data alignment techniques.
Qwen-RobotWorld is a next-generation Embodied World Model that uses natural language as an interface to jointly train across diverse robot embodiments and environments.
Qwen-RobotNav is a scalable unified model that can adjust observation context to fit diverse navigation tasks.
Qwen3.7-Plus is a multimodal agentic model that unifies vision and language, moving seamlessly between GUI and CLI.
Qwen-VLA is a general-purpose VLA model that goes beyond visual understanding to perform continuous robot actions and trajectory prediction.
Qwen3.7-Max has unveiled its agentic, coding, and long-horizon autonomous execution performance.
Qwen has unveiled Qwen3.5-LiveTranslate, a real-time interpretation model that leverages visual context as well.
Qwen has released Qwen-Scope, an SAE-based interpretability tool built on Qwen3 and Qwen3.5.
FlashQLA optimizes GDN Chunked Prefill with CP and fused kernels, achieving up to 3x speedup over FLA Triton.
Qwen has open-sourced Qwen3.6-27B, a 27B dense multimodal model.
Qwen3.6-Max-Preview has been released as a preview with improvements in coding, knowledge, and instruction following.
A coding agent model, Qwen3.6-35B-A3B, has been released for anyone to use.
Qwen3.6-Plus has launched with a 1M token context and enhanced agentic coding.
Qwen3.5-Omni significantly boosts omnimodal performance with a 256k context, 10-hour audio input, and 113-language ASR.
Qwen3.5-Max-Preview has been deployed on Arena and shown strong performance in preliminary evaluations.
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