not bad for our little 7B

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/Qwen-P… - Mobile-Use Agent: tongyi-mai.github.io/Qwen-UI… - Mobile Creative Agent: arxiv.org/abs/2608.16887 🔗 Explore our open benchmark suite: - MobilePA-Bench: tongyi-mai.github.io/MobileP… - MobileWorld (GitHub): github.com/Tongyi-MAI/Mobile… - Leaderboard: tongyi-mai.github.io/MobileW…

⚡ 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: fun-resource-shanghai.oss-cn… - 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

a week ago or w/e when I mentioned that alibaba were targetting 10T params, I didn't exactly expect it would happen so soon (or even be announced, tbh). if we truly see even 5T with qwen 4.5, that'd be something else, especially running locally 😋

and btw, the qwen4 release is still aiming for the end of this month or the beginning of october, depending on how training goes

GLM-5.5 isn't too far away now either. we're getting spoiled for open weight releases. both GLM & Qwen4 are being trained on a mix of Huawei Ascend + NVIDIA clusters Alibaba have "significantly overhauled" post-training and RL pipelines to help improve scalability on same base

Hong Kong Airport

Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe. GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale. We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.

Qwen-Image-2.1 by @Alibaba_Qwen just landed as the #1 open source model in the Image Edit Arena and Text-to-Image Arena! With 1367 pts in the Image Edit Arena, Qwen-Image-2.1 took the #1 spot among open. It landed #16 overall, just 3 pts from GPT-Image-1.5-high-fidelity at #15. See the leaderboard for the Text-to-Image arena below. Congrats to the @Alibaba_Qwen team on this contribution to the open source ecosystem!

Is there any good podcast out there about AI where the hosts actually know how running models works, etc? I tried Nerd Snipe, but it's basically just toddlers coming up with authoritative sounding stuff on the spot

Announced today :)

told ya ;)

🚀 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=qwen3.8-omni… - Qwencloud: qwencloud.com/models/qwen3.8… - Qwen Studio: chat.qwen.ai/ - API: alibabacloud.com/help/en/mod… - Qwen-MM-Plugins: github.com/QwenLM/Qwen-MM-Pl… - Qwen-Live Harness: coming soon github.com/QwenLM/Qwen-Live-…