Audio model · Sep 21, 2026
Qwen3.8-Omni-Flash-Realtime connects live text, audio, and video input to text and audio output. Its realtime documentation lists WebSocket, WebRTC, and AOQ transports; function calling and MCP form the documented action path.
Image model · Sep 20, 2026
Qwen-Image-2.1 combines text-to-image generation and editing in one local open-weight model with 7B parameters. Up to ten reference images, RGBA output with transparent layers, and local editing controls based on circles, painted annotations, and separate masks define its concrete focus.
Audio model · Sep 18, 2026
Qwen3.8-LiveTranslate targets real-time interpretation rather than general text chat. It translates audio and images while producing text and audio, supports 60 languages, and can speak 29 of them. Speaker separation, synchronized bilingual output, and long-context disambiguation matter when a conversation has multiple voices and the attribution matters as much as the words.
Language model · Sep 17, 2026
Qwen3.8-Omni-Flash is a proprietary API model for audio and video analysis with text output. It accepts text, images, audio, and video in a shared context of up to 1,000,000 tokens. The documentation names long recordings, meeting summaries, speaker alignment, and video understanding.
Language model · Sep 2, 2026
New in Qwen 3.8 Max 0902 is the combination of a 2.4-trillion-parameter MoE with Alibaba's focus on long coding and office tasks. The documentation also highlights visual understanding, chart reasoning, and document parsing. The snapshot accepts text, images, and video.
Language model · Aug 26, 2026
What distinguishes Qwen 3.8 Flash is the combination of multimodal input and a 1,000,000-token window in an API. Alibaba documents text, images, and video as inputs and text as output. In Thinking mode, the API exposes up to 262,144 tokens of chain of thought.
Language model · Aug 26, 2026
Qwen 3.8 Flash Next is an open experimental architecture checkpoint, not simply a smaller Qwen3.8 model. Qwen replaces Gated Attention with Qwen Sparse Attention and combines it with Gated DeltaNet. The model has 125 billion parameters, activates 6 billion, and adds 51 billion n-gram embeddings. It accepts text, images, and video and uses Thinking mode by default.
Language model · Aug 14, 2026
Qwen 3.8 27B is a dense open-weight vision-language model for text, images, and video. Its model card combines a vision encoder with a hybrid Gated DeltaNet and Gated Attention architecture.
Language model · Aug 12, 2026
Qwen 3.8 2.4T A95B is the open-weight checkpoint behind the Qwen3.8-Max serving release. Its repository contains FP8-quantized weights for a hybrid Mixture-of-Experts model with 2.4 trillion total parameters and 95 billion active parameters. The architecture combines Gated DeltaNet and Gated Attention.
Language model · Jul 15, 2026
Qwen 3.7 Flash concentrates its 1,000,000-token configuration on long image and video analysis. The proprietary endpoint accepts text, images, and video and processes videos up to two hours or 2 GB. It allows 256 images per request, compared with 2,048 for Qwen 3.8 and Qwen 3.7 Plus. The limit of 64 videos is unchanged.
Language model · June 2026
What distinguishes Qwen 3.7 Plus is Alibaba's hybrid-agent design. It reads screens, operates graphical interfaces, writes code from visual references, and combines GUI with CLI steps. Text, images, and video are inputs; the context window is 1,000,000 tokens.
Language model · May 2026
Qwen 3.7 Max combines a 1,000,000-token window with Alibaba's focus on coding, office automation, MCP integrations, and long autonomous runs. Its integrated thinking mode can be controlled through the API. The parameter count remains undisclosed, and the weights are not downloadable.
51 more current models are in the model list above.