Qwen

⚡ Meet Qwen-Audio-3.1! ASR, TTS & Realtime are fully upgraded, joined by two new models: TTS-Next for audio creation and ASR-Next for audio understanding. Five models, one complete audio stack: understanding, generation, interaction & creation. Plus big price cuts across the lineup: TTS ~70% off, Realtime ~85% off, and ASR up to 95% off. Highlights: 🥳 - ASR: stronger multilingual & dialect recognition, plus native polishing that auto-removes fillers & repetitions for cleaner, more logical transcripts. - ASR-Next: supports multi-speaker ASR with speaker labels, timestamps & aligned transcripts, and understands emotions, ambient & machine sounds for sound captioning, event localization, audio QA & reasoning. - TTS: multilingual & dialect synthesis with natural cross-lingual voice transfer; control emotion, speed & style via simple instructions. - TTS-Next: unified LM + diffusion framework generating voice, sound effects & background audio in one pass for audiobooks, podcasts, games & ads. - Realtime: speak & listen at once with anytime interruption, just like a real call; it even slows down and responds empathetically when it senses a low mood. Unlock the full potential of Qwen-Audio-3.1! 👇 - Blog: https://fun-resource-shanghai.oss-cn-shanghai.aliyuncs.com/cuijiayan.cjy/tmp/exp/qwen_audio_3_tts_blog_review_260918/index.shtml?Expires=2105366399&OSSAccessKeyId=LTAI5tQrCBwj82sVMCWoSmzE&Signature=9ZaZIEahoN41Zb9MFJjf34G%2BSCM%3D - Qwen-Audio-3.1-ASR: https://www.qwencloud.com/models/qwen-audio-3.1-asr-flash-filetrans - Qwen-Audio-3.1-Realtime: https://www.qwencloud.com/models/qwen-audio-3.1-realtime-plus - More APIs: coming soon @qwen_cloud

Introducing Qwen Intelligence, bringing personal intelligence within everyone's reach. 📱✨ It launches with three SOTA agents: 🥳 - Mobile Planner Agent: plans, decomposes & orchestrates complex tasks. #1 on MobilePA-Bench, MobilePA-Bench Business & Memory. - Mobile-Use Agent: gets things done, API-first with GUI fallback. MobileWorld 82.1, MobileWorld-Real 92.2, AndroidDaily 97.2, 90% end-to-end success rate. - Mobile Creative Agent: turns one sentence into ready-to-use creations. Image generated in 3s, about 2x faster than leading peers. We're also opening up our benchmark suite: MobilePA-Bench, MobileWorld, MobileWorld-Real, and MobileWorld-Safety, covering planning, cross-app execution, real-device performance and safety. 🔗 Learn more about the agents: - Qwen Intelligence official website: https://www.qwenintelligence.com - Mobile Planner Agent: https://github.com/Tongyi-MAI/Qwen-Planner-Agent - Mobile-Use Agent: https://tongyi-mai.github.io/Qwen-UI-Agent/ - Mobile Creative Agent: https://arxiv.org/abs/2608.16887 🔗 Explore our open benchmark suite: - MobilePA-Bench: https://tongyi-mai.github.io/MobilePA-Bench/ - MobileWorld (GitHub): https://github.com/Tongyi-MAI/MobileWorld - Leaderboard: https://tongyi-mai.github.io/MobileWorld/#leaderboard

Qwen-Image-2.1 is now supported in ComfyUI! Try it now and share your creations! 🖼️

Thanks @arena for the recognition! 🏆 Qwen-Image-2.1 is now the #1 open-source model in both the Image Edit and Text-to-Image Arenas. Try it now and show us what you create! 🎨

Qwen-Image-2.1 × @HuggingApps: live demo on Spaces! 🖼 One single checkpoint for generation and editing. Try it in your browser, no setup needed. 👇

Thanks @sgl_project for the day-0 support! 🙌 SGLang-Diffusion now serves Qwen-Image-2.1: text-to-image generation, multi-image editing, and transparent RGBA output. Try it out! 🎨

Day-0 OpenVINO support from @inteldevs! 🥳 Qwen-Image-2.1 is ready to run optimized on Intel hardware. One open-weight checkpoint for both generation and editing. 👇

Qwen3.8-27B is now accessible via @nebiustf. Whether you are building agents or doing deep research, this 27B dense model is ready for your multi-step workflows! 🥳

Congrats to @lightseekorg on the impressive TokenSpeed results! 🚀 Great to see Qwen3.8-Flash-Next reaching 685 output tokens/s per user on Nvida GPUs. Excited to see the community unlock more of Qwen’s inference potential!

Introducing QwenGyre, bringing elastic RL to extreme-long-horizon (XLong) agent training. ✨ It launches with two core designs: 🥳 - Elastic Scheduler: reallocates GPUs between rollout & training as demand shifts—live executions never interrupted. Up to 1.85× speedup over Colocate, 1.78× over Async. - Trajectory Processor: turns branching executions (compaction, sub-agents, retries) into prefix-shared trajectory trees with bounded, deduplicated training samples. Partial progress after timeout still gets scored. Scaled to Qwen3.8-2.4T-A95B with ~700K tokens per rollout, QwenGyre lifts NL2RepoBench from 52.5% to 58.5% in 48 steps, cutting end-to-end training time by ~44% vs Async. 🔗 Read the paper: https://arxiv.org/abs/2609.33848

🚀 Meet Qwen-Image-2.1-Turbo — create and edit images in just 8 denoising steps! Open weights now available! Built on Qwen-Image-2.1, Turbo is an accelerated checkpoint on the same 7B visual generation architecture. Fewer steps does not mean lower quality: it still generates strong 2K images from text, and supports continued creation through natural-language edits, from adding accessories to changing a scene. Start directly with Diffusers: load QwenImage21Pipeline and the checkpoint’s recommended 8-step sampling schedule is ready to go. 🌐 Prefer an API? Qwen-Image-2.1 Pro and Turbo APIs are now officially live. Choose a hosted API for your application, or use the Turbo weights in your own workflow. 🤖 ModelScope: https://modelscope.cn/models/Qwen/Qwen-Image-2.1-Turbo 🤗 Hugging Face: https://huggingface.co/Qwen/Qwen-Image-2.1-Turbo 🔗 Pro API: https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market/detail/qwen-image-2.1-pro?serviceSite=international&ref=list 🔗 Turbo API: https://modelstudio.console.alibabacloud.com/ap-southeast-1/model/market/detail/qwen-image-2.1-turbo?serviceSite=international&ref=list What will you create with 8 steps? Share your results with us!

A week of free access to Qwen3.8-Max, Qwen3.8-Flash, and Wan3.0 on @gmi_cloudis live. Explore what you can build with us now. 🙌