Chinese gray market sells Anthropic Claude tokens at 10% of list price
'Transfer station' proxies that defeat even selfie verification are undermining regional blocks and identity checks
00
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
Anonymous model Ox Alpha matches GLM-5.2 on all 60 tokenizer tests
Community tokenizer comparison shows 60/60 match with zero average error — but that doesn't confirm it's the same model
50
Reddit developer releases 'Unswarm' to auto-switch between multiple local LLMs
An open-source tool that unifies local LLM operations — previously spread across separate containers and scripts — behind a single proxy
40
Inherent's 27B Model Faraday Outperforms Anthropic and OpenAI
A London startup founded by Google DeepMind alumni beat frontier models at a paper-replication task using a much smaller model
30
Hume AI Measures Benchmark Memorization in Speech Recognition Models
Even after silencing unspoken numbers, some models still transcribed them correctly 30-40% of the time
30
Open-source Ornith-1.5 claims scores on par with Claude Opus
DeepReinforce team releases three sizes from 397B down to 9B, built on a self-improvement loop that generates its own tasks, scaffolds, and solutions — all figures are self-reported
390
Firefox Smart Window to Add Real-Time Source Links to AI Answers
Partnership with Exa brings web-search citations, plus beta expansion into automatic tab organization and natural-language history search
00
US Rate Hikes Rattle AI Rally as AMD Unveils New EPYC, GPT-5.6 Gets Price Cut
As surging Treasury yields threaten Asia's AI stock rally, AMD's next-generation server chip, a GPT-5.6 price cut, and open-source model and infrastructure discussions filled the day.
10
AI Loses 83% of User Rules When Compressing Long Conversations
Penn State study finds instruction loss during context compaction; small add-on module restores retention to over 90%
40
Qwen3.8-27B, run on a laptop, reportedly beats Gemini 3.7 Flash
Alibaba's Qwen highlighted the competitiveness of its 27B model by promoting a user's local-run comparison case
10
MiniMax unveils music model that generates full 5-minute songs from lyrics alone
Open-weight MiniMax-Music3 generates a complete 32kHz stereo track in one pass from just two inputs: lyrics and a structured caption
30
Alibaba unveils beta of AI music model that generates full songs from text
New model known as 'HappyShrimp' handles lyrics, composition, and arrangement from a single prompt
260
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