Qwen

🚀 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:
modelscope.cn/models/Qwen/Qw…
🤗 Hugging Face:
huggingface.co/Qwen/Qwen-Imag…
🔗 Pro API:
modelstudio.console.alibabacloud.com/ap-southeast-1…
🔗 Turbo API:
modelstudio.console.alibabacloud.com/ap-southeast-1…

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. 🙌

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! 🥳

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: qwenintelligence.com
- Mobile Planner Agent: github.com/Tongyi-MAI/Qwe…
- Mobile-Use Agent: tongyi-mai.github.io/Qwen-UI-Agent/
- Mobile Creative Agent: arxiv.org/abs/2608.16887

🔗 Explore our open benchmark suite:
- MobilePA-Bench: tongyi-mai.github.io/MobilePA-Bench/
- MobileWorld (GitHub): github.com/Tongyi-MAI/Mob…
- Leaderboard: tongyi-mai.github.io/MobileWorld/#l…

⚡ 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: …shanghai.oss-cn-shanghai.aliyuncs.com/cuijiayan.cjy/…
- Qwen-Audio-3.1-ASR:
qwencloud.com/models/qwen-au…
- Qwen-Audio-3.1-Realtime:
qwencloud.com/models/qwen-au…
- More APIs: coming soon @qwen_cloud

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! 🎨

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. 👇

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! 🎨

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

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

Thanks @vllm_project for the day-0 support! 🙌 Generate, edit, transparent output — one model, ready to serve. Details 👇

Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨

A unified model for both generation and editing, delivering top-tier quality in a lightweight package.

Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.

Start to create your next masterpiece with Qwen-Image-2.1! 🖼️

- Blog: qwen.ai/blog?id=qwen-i…
- GitHub: github.com/QwenLM/Qwen-Im…
- Model Scope: modelscope.cn/models/Qwen/Qw…
- Hugging Face: huggingface.co/Qwen/Qwen-Imag…

A great example of practical AI solving real-world problems! Faster than ever. Thanks for building with Qwen. @cerebras Try it out for yourself! 🏠

Meet Qwen3.8-LiveTranslate, Qwen's next-generation real-time simultaneous interpretation model! 📢

Built on an Interleave architecture, it improves faithfulness, fluency, and conciseness while reducing average lagging (LAAL) from 2.8s to 2.3s across 60 languages.

New capabilities: 🙌
- Real-time speaker diarization — distinguishes speakers in multi-party speech and preserves each speaker's voice through more stable voice cloning.
- Synchronized bilingual display — source and translation on screen together.
- Long-context disambiguation — leverages conversation history to clarify names and terminology for consistent translations.

Let's try Qwen3.8-LiveTranslate! 🥳
- Blog: qwen.ai/blog?id=qwen3.…
- QwenCloud: qwencloud.com/models/qwen3.8…

🚀 Meet Qwen3.8-Omni-Flash, Qwen's first omni-modal model built around agentic capabilities!

Native audio-video understanding, reasoning, and tool use come together in one model: understand the content, plan the task, execute with tools, and deliver the result.

Highlights: 🥳
- Audio-video intelligence that gets things done: jointly reason over what's seen and heard, and orchestrate tools across long workflows to auto-edit vlogs, translate short videos, and turn movies into recaps.
- A major leap: approaching Gemini 3.8 Flash in audio-video capabilities; +19.5 points on average in agent performance across WildClawBench-MM & UniClawBench.
- 1M-token context with agentic perception: actively explore long videos and locate key moments with higher accuracy, using 51.8% fewer tokens than static understanding on OmniVideoBench.

Video input costs are reduced by about 89% compared with Qwen3.5-Omni-Plus, making long-form audio-video understanding and agentic workflows more affordable than ever.

To help you build apps around Omni, we're also open-sourcing Qwen-MM-Plugins and Qwen-Live Harness! 🛠️

We can't wait to see what you build with Qwen3.8-Omni-Flash! 👀

- Blog: qwen.ai/blog?id=qwen3.…
- Qwencloud: qwencloud.com/models/qwen3.8…
- Qwen Studio: chat.qwen.ai
- API: alibabacloud.com/help/en/model-…
- Qwen-MM-Plugins: github.com/QwenLM/Qwen-MM…
- Qwen-Live Harness: coming soon
github.com/QwenLM/Qwen-Li…

Fast meets open. 🚀 Qwen3.8-27B is now running on @cerebras with rapid inference. Try it now!

Come build with Qwen🫴🫴

Meet E-Commerce Bench, a new benchmark for long-horizon autonomous business operations. 🚀

Agents start with ¥100,000 to run online stores for 365 days, handling sourcing, negotiation, pricing, promotions, inventory and cash flow, in a market driven by real e-commerce data.

What's inside: 👀
- Real economics: 6886 products, 576 suppliers (152 fraudsters), 600-minute workdays, storage fees, returns and reputation.
- Long-horizon learning: almost no model learns to buy cheaper or improve its strategies over a full year of operation.
- Seven-axis evaluation: beyond year-end assets, we score six more dimensions, revealing that no single model dominates across the board.

Learn more about E-Commerce Bench: 👇
- Blog: qwen.ai/blog?id=e-comm…
- Paper: arxiv.org/abs/2608.30730
- Project: ecbench.github.io
- Code: github.com/QwenLM/E-Comme…

🏆 #1 overall on Code Arena, and top of the Pareto frontier at $5/MToken. Thanks! @arena
Give Qwen3.8-Max-0902 a spin on QwenCloud.🥳

🏆 #1 on CodeArena: WebDev leaderboard.

Qwen3.8-Max-0902 jumps from 1669 to 1691, setting a new record for agentic coding (WebDev) workflows, with standout strength in multistep reasoning, tool use, and full app generation.

Thanks for the recognition! @arena