Qwen3.8 27B impresses but defaults to "overthinking"
Simon Willison review finds xhigh reasoning burns minutes even to draw a circle
580
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)
15
- Change
- Prev.
- 12
Rank over the last 30 days
2026.08.17 – 2026.09.15 · High 10 · Low 15 · Now 15
Alibaba Qwen · Related stories
Qwen3.8-27B tops Hugging Face trending models
The open-weight model, released on the 14th, topped the charts in downloads and likes
20
Qwen confirmed as No. 1 in Hugging Face's local inference rankings
Hugging Face's "State of Open Models" report shows Qwen leading Gemma in real-world local inference use
10
Even the best AI models can't score above 60% on pure vision
Moonshot AI's new benchmark ranks GPT-5.6 Sol first at 59.7%, revealing that many "reasoning errors" are actually perception failures
20
Qwen3.8-27B released as open weights under Apache 2.0
Alibaba's Qwen has opened up the full weights of its 27B multimodal model. At 4-bit precision it's 17.9GB — small enough to fit on a single graphics card — yet the official chart shows it beating Claude Opus 4.6 Max on several metrics.
90
Qwen3.8 Max praised for knowing what not to build
r/LocalLLaMA reviewer lauds speed, design-review skill, and self-correction, backed by 2.4 trillion parameters and a No. 1 agentic index ranking
10
Alibaba's Wan Adds 'Agent Skills' for Sharing Video Workflows
Wan video's new Skills feature lets users browse and reuse community-built video generation workflows
10
Hinton, Fei-Fei Li, Andrew Ng clash on stage over AI openness
At the Ai4 conference, three giants of the field offered differing takes on the risks of open-weight models and concerns over gatekeeping
30
Ant Group's Ling 3.0 Tiny scores 25 on intelligence index with 1.3B active parameters
Its accuracy was the lowest in its class, but its hallucination rate was also the lowest at 30%. The tradeoff: 50,000 tokens per answer.
20
Anthropic IPO: investors grill company on Chinese AI first
Anthropic is pushing for a September-October listing, but Chinese rival models and data center backlash have emerged as key variables
00
Local LLM Community Flags a Gap in New 8B-12B Models
Reddit user points out lack of new mid-sized models for 16GB MacBooks, sparking debate
40
French-specialized small AI 'Luth-2' outperforms models three times its size
0.8B and 2B parameter models beat larger models on French-language benchmarks
00
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