Alibaba unveils Wan-Animate-2, adds real-time streaming generation
Upgrade to open-source character animation model includes multi-character support and text-driven camera control
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Alibaba Qwen
An open-source model family trained directly by Alibaba. It is one of the most widely used names in the open-model camp. Its flagship model is Qwen3.8, a 27B-parameter open-weight model released in August 2026 that supports multimodal input. That same month, it ranked among the top entries on Hugging Face's local inference model rankings. In August 2026 reporting on Anthropic's IPO, Qwen was also mentioned as investors pressed for details on the impact of Chinese AI models.
Current rank (1M)
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Rank over the last 30 days
2026.08.17 – 2026.09.15 · High 10 · Low 15 · Now 15
Alibaba Qwen · Related stories
Tiny Corp Runs 27B Model at 34 Tokens per Second via USB3-Connected GPU
Tiny corp released a video showing a 7900XTX connected over USB3 running Qwen 3.6 27B. The dock ships on the 12th
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xAI unveils image generator Imagine 2.0, ranks second behind GPT-Image-2 on Arena benchmark
New version adds editing tools and templates, Elo score trails OpenAI's model by a narrow margin
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Qwen3.8-Max Ranks No. 1 in Agentic Index, No. 5 in Intelligence Index
Alibaba's Qwen team disclosed its own model's benchmark rankings
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Ant Group unveils 124B open-weight model Ling 3.0 Flash
Scores 38 on Artificial Analysis Intelligence Index, sits on the Pareto frontier for performance per parameter
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Alibaba Opens Wan3.0 Public Beta, Native 30-Second Video Generation
Reference inputs expand beyond text, image, audio, and video to include documents and spreadsheets
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Qwen3.8 Max Narrowly Trails Open-Source Kimi K3 on Benchmark
Alibaba's new model scores 56 on Intelligence Index at $1.14 per task, but Kimi K3 wins on cost efficiency
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Alibaba Unveils Qwen3.8-Max, Leaves Active Parameter Count Undisclosed
Even the model itself says it doesn't know. The flagship is API-only again, and only the 27B weights are open.
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That's the last story.
Alibaba Qwen · Recent announcements
- 657Qwen3.8-Flash-Next: A New Architecture, Towards Ultimate Cost-Efficiency
- 10,906Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight!
- 2,345큐원3.8-맥스, 0902 업데이트로 코딩·협업 강화
- 2,208125B/6B, 1M context, multimodal, now in OpenCode Go. Happy coding with Qwen3.8-Flash!
- 1,716Come build with Qwen🫴🫴
- 1,643#1 on CodeArena: WebDev leaderboard.
- 1,442Fast meets open. 🚀 Qwen3.8-27B is now running on @cerebras with rapid inference. Try it now!
- 1,325A high-performance 125B model now running locally on just 75GB RAM! Thank you @UnslothAI for the day-0 support.
- 916#1 overall on Code Arena, and top of the Pareto frontier at $5/MToken. Thanks! @arena
- 821#1 among open models in the Image-to-WebDev Arena, #7 overall. 🚀 Thanks for the recognition! @arena Just 27B parameters, on par with models 100x its size. Now, can you guess what surprise we're dropping tonight? 👀 https://t.co/4SwhyDfbvW
- 722알리바바 벤치마크서 오픈AI가 알리바바를 이겼다
- 522Thank you @NVIDIAAI for the day-0 support!
- 490Amazing! Thanks @vllm_project for getting Qwen3.8-Flash-Next running on NVIDIA and AMD from day 0.
- 451Qwen3.8-Flash is now live on @OpenRouter! Coding assistants, agentic workflows, long-video understanding, all one API call away.
- 424CommerceAgentBench starts with real commercial demand, and Qwen3.8-Max delivers the strongest overall performance among open-weight models. Let's test Qwen on your real-world workflows!
- 267API is live on QwenCloud: https://qwencloud.com/models/qwen3.8-flash…
- 238Qwen3.8-Flash on @qwen_cloud: $0.15/1M input tokens, $0.47/1M output tokens, and just $0.016/1M on cache hits. Come give it a try!
- 212Big thanks to @sgl_project for the day-0 support! Qwen3.8-Flash-Next is ready to deploy with SGLang today.
- 160Fantastic! Thanks @lightseekorg for the TokenSpeed day-0 support. The new architecture is fully covered, from GDN + QSA to N-gram embedding with FP8.
- 17Qwen/Qwen-Drive-1.0-4B · image-text-to-text