{ "data": null, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/people/yang-su/", "json": "https://www.anchorterminal.com/people/yang-su/index.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/people/yang-su/index.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/people/yang-su/index.min.md" }, "markdown": "Agent research lead, Qwen series.\n\n- LinkedIn: https://www.linkedin.com/in/yang-su2000\n- X: https://x.com/YangSu2000\n\n## What Yang builds\n\n- [Qwen3.5-0.8B](https://www.anchorterminal.com/tools/qwen3-5-0-8b.md), graded D, 46.7/100, in Open-weight models. Qwen3.5-0.8B is the smallest model in Alibaba's Qwen3.5 family, 0.8B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research. Agent research lead, Qwen series, researched 2026-10-27.\n- [Qwen3.5-2B](https://www.anchorterminal.com/tools/qwen3-5-2b.md), graded D, 50.5/100, in Open-weight models. Qwen3.5-2B is a small model in Alibaba's Qwen3.5 family, 2B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research. Agent research lead, Qwen series, researched 2026-10-27.\n- [Qwen3.6-27B](https://www.anchorterminal.com/tools/qwen3-6-27b.md), graded B, 67.2/100, in Open-weight models. Qwen3.6-27B is Alibaba's open-weight dense vision-language model of 27B parameters, tuned for agentic coding, with thinking on by default, preserved thinking across turns and a 262,144-token context, published on Hugging Face in BF16 and FP8 under Apache 2.0. Agent research lead, Qwen series, researched 2026-10-27.\n- [Qwen3.8-27B](https://www.anchorterminal.com/tools/qwen3-8-27b.md), graded B, 68.6/100, in Open-weight models. Qwen3.8-27B is Alibaba's open-weight dense vision-language model of 27B parameters, with thinking on by default and a 262,144-token context, published on Hugging Face in BF16 and FP8 under Apache 2.0. Agent research lead, Qwen series, researched 2026-10-27.\n\n## Works with\n\n- [Eddie Wu](https://www.anchorterminal.com/people/eddie-wu/), Co-founder, Director and CEO, Alibaba Group\n- [Jack Ma](https://www.anchorterminal.com/people/jack-ma/), Co-founder, Alibaba Group\n- [Jane Jiang](https://www.anchorterminal.com/people/jane-jiang-2/), Co-founder and Chief People Officer, Alibaba Group\n- [Jin Xu](https://www.anchorterminal.com/people/jin-xu/), First author, Qwen3-Omni Technical Report\n- [Joe Tsai](https://www.anchorterminal.com/people/joe-tsai/), Co-founder and Chairman, Alibaba Group\n\n## Questions\n\n### Who is Yang Su?\n\nYang Su is agent research lead at Qwen series.\n\n### What does Alibaba (Qwen team) make?\n\nAnchor Terminal lists Qwen3.5-0.8B, Qwen3.5-2B, Qwen3.6-27B and Qwen3.8-27B from Alibaba (Qwen team). Qwen3.5-0.8B is the smallest model in Alibaba's Qwen3.5 family, 0.8B language parameters with a vision encoder, thinking off by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0 for prototyping, fine-tuning and research.\n\n### How are Yang's tools graded?\n\nQwen3.5-0.8B is graded D, 46.7 out of 100; Qwen3.5-2B is graded D, 50.5 out of 100; Qwen3.6-27B is graded B, 67.2 out of 100; Qwen3.8-27B is graded B, 68.6 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.\n\n## Sources\n\n- https://www.linkedin.com/in/yang-su2000\n- https://huggingface.co/Qwen/Qwen3.5-0.8B\n- https://qwen.ai/blog?id=qwen3.5\n- https://x.com/YangSu2000\n- https://x.com/Alibaba_Qwen\n- https://www.linkedin.com/company/alibaba-cloud-computing-company/\n- https://qwen.ai/\n- https://github.com/QwenLM/Qwen3.5\n- https://huggingface.co/Qwen/Qwen3.5-2B\n- https://qwen.ai/blog?id=qwen3.6-27b\n- https://github.com/QwenLM\n- https://huggingface.co/Qwen\n- https://huggingface.co/Qwen/Qwen3.8-27B\n- https://github.com/QwenLM/Qwen3.8\n\nThese are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page, /about/#author). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-28", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "People building AI tools", "url": "https://www.anchorterminal.com/people/" }, { "name": "Yang Su", "url": "" } ], "description": "Yang Su is agent research lead at Qwen series. Qwen3.5-0.8B, Qwen3.5-2B, Qwen3.6-27B and Qwen3.8-27B on Anchor Terminal, with grades, an about and public profiles.", "facts": null, "h1": "Yang Su", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/people/yang-su/", "published": "", "section": "people", "title": "Yang Su, Agent research lead, Qwen series | Anchor Terminal", "toc": null, "updated": "2026-10-27", "url": "https://www.anchorterminal.com/people/yang-su/" }, "tokens": { "markdown": 1200, "slim": 980 }, "version": 1 }