# Jane Jiang (slim) > Jane Jiang is co-founder and Chief People Officer of Alibaba Group. Qwen3-30B-A3B-Instruct-2507, Qwen3-4B-Instruct-2507, Qwen3.5-122B-A10B, Qwen3.5-397B-A17B, Qwen3.5-4B, Qwen3.5-9B, Qwen3.6-35B-A3B, Qwen3.8-Flash-Next, Qwen3-ASR-0.6B, Qwen3-ASR-1.7B, Qwen3-Coder-30B-A3B-Instruct, Qwen3-Coder-Next, Qwen3-Embedding-0.6B, Qwen3-Embedding-4B, Qwen3-Embedding-8B, Qwen3-TTS 12Hz 1.7B CustomVoice, Qwen3-VL-2B-Instruct, Qwen3-VL-30B-A3B-Instruct, Qwen3-VL-32B-Instruct and Qwen3-VL-4B-Instruct on Anchor Terminal, with grades, an about and public profiles. - Full: https://www.anchorterminal.com/people/jane-jiang-2/index.md (~3,850 tokens) · this version ~3,580 tokens · JSON https://www.anchorterminal.com/people/jane-jiang-2/index.json · canonical https://www.anchorterminal.com/people/jane-jiang-2/ - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-27 - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) Co-founder and Chief People Officer, Alibaba Group. Jane Jiang joined Alibaba in 1999 as a member of its founding team and has been its chief people officer since April 2023, after six years as deputy. ## What Jane builds - [Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507.md), graded C, 56.6/100, in Open-weight models. Qwen3-30B-A3B-Instruct-2507 is Alibaba's open-weight mixture-of-experts text model, 30.5B parameters with 3.3B active, the non-thinking edition of the July 2025 Qwen3 update, with a 262,144-token context, published in BF16 and FP8 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/tools/qwen3-4b-instruct-2507.md), graded C, 55.7/100, in Open-weight models. Qwen3-4B-Instruct-2507 is Alibaba's open-weight dense text model of 4B parameters, the non-thinking edition of the July 2025 Qwen3 update, with a 262,144-token context, published on Hugging Face in BF16 and FP8 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3.5-122B-A10B](https://www.anchorterminal.com/tools/qwen3-5-122b-a10b.md), graded B, 63.6/100, in Open-weight models. Qwen3.5-122B-A10B is Alibaba's mid-size open-weight mixture-of-experts vision-language model, 122B parameters with 10B active, thinking on by default and a 262,144-token context, published on Hugging Face in BF16, FP8 and GPTQ 4-bit under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3.5-397B-A17B](https://www.anchorterminal.com/tools/qwen3-5-397b-a17b.md), graded B, 64.6/100, in Open-weight models. Qwen3.5-397B-A17B is Alibaba's largest open-weight Qwen3.5 model, a mixture-of-experts vision-language model of 397B parameters with 17B active, thinking on by default and a 262,144-token context, published on Hugging Face in BF16, FP8 and GPTQ 4-bit under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3.5-4B](https://www.anchorterminal.com/tools/qwen3-5-4b.md), graded C, 61.2/100, in Open-weight models. Qwen3.5-4B is Alibaba's small open-weight vision-language model, 4B language parameters with a vision encoder, thinking on by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3.5-9B](https://www.anchorterminal.com/tools/qwen3-5-9b.md), graded C, 60.5/100, in Open-weight models. Qwen3.5-9B is Alibaba's open-weight dense vision-language model of 9B parameters, with thinking on by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3.6-35B-A3B](https://www.anchorterminal.com/tools/qwen3-6-35b-a3b.md), graded B, 63.2/100, in Open-weight models. Qwen3.6-35B-A3B is Alibaba's open-weight mixture-of-experts vision-language model, 35B parameters with 3B active and a 262,144-token context, published on Hugging Face in BF16 and FP8 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3.8-Flash-Next](https://www.anchorterminal.com/tools/qwen3-8-flash-next.md), graded C, 61.8/100, in Open-weight models. Qwen3.8-Flash-Next is Alibaba's open-weight multimodal mixture-of-experts model and an experimental preview of the Qwen4 architecture, 125B parameters with 6B active plus a 51B n-gram embedding table, published on Hugging Face in BF16 and FP8. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-ASR-0.6B](https://www.anchorterminal.com/tools/qwen3-asr-0-6b.md), graded C, 61.2/100, in Speech-to-text. Qwen3-ASR-0.6B is Alibaba's compact open-weight speech recognition model for 30 languages and 22 Chinese dialects, with language identification, context hints and streaming, published on Hugging Face in BF16 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-ASR-1.7B](https://www.anchorterminal.com/tools/qwen3-asr-1-7b.md), graded B, 64.4/100, in Speech-to-text. Qwen3-ASR-1.7B is Alibaba's open-weight speech recognition model for 30 languages and 22 Chinese dialects, with language identification, context hints and streaming, published on Hugging Face in BF16 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/tools/qwen3-coder-30b-a3b-instruct.md), graded C, 55.7/100, in Open-weight models. Qwen3-Coder-30B-A3B-Instruct is Alibaba's open-weight mixture-of-experts coding model, 30.5B parameters with 3.3B active, for agentic coding and tool use, with a 262,144-token context, published in BF16 and FP8 under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-Coder-Next](https://www.anchorterminal.com/tools/qwen3-coder-next.md), graded C, 57.6/100, in Open-weight models. Qwen3-Coder-Next is Alibaba's open-weight coding-agent model, an 80B mixture-of-experts with 3B active and no thinking mode, trained for tool calling across many agent scaffolds with a 262,144-token context, published on Hugging Face in BF16, FP8 and GGUF under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-Embedding-0.6B](https://www.anchorterminal.com/tools/qwen3-embedding-0-6b.md), graded B, 63.5/100, in Embeddings & rerankers. Qwen3-Embedding-0.6B is Alibaba's open-weight text embedding model of 0.6B parameters, built on Qwen3-0.6B-Base, for retrieval, classification and clustering in over 100 languages and code, with 1,024-dimension vectors and a 32K context, under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-Embedding-4B](https://www.anchorterminal.com/tools/qwen3-embedding-4b.md), graded BB, 72.9/100, in Embeddings & rerankers. Qwen3-Embedding-4B is Alibaba's open-weight text embedding model built on Qwen3-4B-Base, returning vectors of up to 2,560 dimensions for retrieval, code search and clustering in over 100 languages, under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-Embedding-8B](https://www.anchorterminal.com/tools/qwen3-embedding-8b.md), graded BB, 74.7/100, in Embeddings & rerankers. Qwen3-Embedding-8B is Alibaba's open-weight text embedding model built on Qwen3-8B-Base, returning vectors of up to 4,096 dimensions for retrieval, code search and clustering in over 100 languages, under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-TTS 12Hz 1.7B CustomVoice](https://www.anchorterminal.com/tools/qwen3-tts-1-7b-customvoice.md), graded C, 58/100, in Text-to-speech. Qwen3-TTS 12Hz 1.7B CustomVoice is Qwen's open-weight text-to-speech model with nine preset voices whose tone, emotion and pace follow a natural-language instruction, in ten languages and two Chinese dialects, with its 12 Hz speech tokenizer bundled, under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/tools/qwen3-vl-2b-instruct.md), graded C, 61/100, in Open-weight models. Qwen3-VL-2B-Instruct is Alibaba's open-weight dense vision-language model of about 2B parameters, taking text, images and video with a 262,144-token context, published on Hugging Face in BF16, FP8 and GGUF under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/tools/qwen3-vl-30b-a3b-instruct.md), graded C, 58/100, in Open-weight models. Qwen3-VL-30B-A3B-Instruct is Alibaba's open-weight vision-language mixture of experts with about 31B parameters and 3B active, taking text, images and video with a 262,144-token context, published on Hugging Face in BF16, FP8 and GGUF under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/tools/qwen3-vl-32b-instruct.md), graded C, 56.4/100, in Open-weight models. Qwen3-VL-32B-Instruct is Alibaba's open-weight dense vision-language model of about 32B parameters, taking text, images and video with a 262,144-token context, published on Hugging Face in BF16, FP8 and GGUF under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct.md), graded D, 52.6/100, in Open-weight models. Qwen3-VL-4B-Instruct is Alibaba's open-weight dense vision-language model of about 4B parameters, taking text, images and video with a 262,144-token context, published on Hugging Face in BF16, FP8 and GGUF under Apache 2.0. Co-founder and Chief People Officer, Alibaba Group, researched 2026-10-27. ## Works with - [Eddie Wu](https://www.anchorterminal.com/people/eddie-wu/), Co-founder, Director and CEO, Alibaba Group - [Jack Ma](https://www.anchorterminal.com/people/jack-ma/), Co-founder, Alibaba Group - [Jin Xu](https://www.anchorterminal.com/people/jin-xu/), First author, Qwen3-Omni Technical Report - [Joe Tsai](https://www.anchorterminal.com/people/joe-tsai/), Co-founder and Chairman, Alibaba Group - [Yang Su](https://www.anchorterminal.com/people/yang-su/), Agent research lead, Qwen series ## Questions ### Who is Jane Jiang? Jane Jiang joined Alibaba in 1999 as a member of its founding team and has been its chief people officer since April 2023, after six years as deputy. ### What does Alibaba (Qwen team) make? Anchor Terminal lists Qwen3-30B-A3B-Instruct-2507, Qwen3-4B-Instruct-2507, Qwen3.5-122B-A10B, Qwen3.5-397B-A17B, Qwen3.5-4B, Qwen3.5-9B, Qwen3.6-35B-A3B, Qwen3.8-Flash-Next, Qwen3-ASR-0.6B, Qwen3-ASR-1.7B, Qwen3-Coder-30B-A3B-Instruct, Qwen3-Coder-Next, Qwen3-Embedding-0.6B, Qwen3-Embedding-4B, Qwen3-Embedding-8B, Qwen3-TTS 12Hz 1.7B CustomVoice, Qwen3-VL-2B-Instruct, Qwen3-VL-30B-A3B-Instruct, Qwen3-VL-32B-Instruct and Qwen3-VL-4B-Instruct from Alibaba (Qwen team). ### How are Jane's tools graded? Qwen3-30B-A3B-Instruct-2507 is graded C, 56.6 out of 100; Qwen3-4B-Instruct-2507 is graded C, 55.7 out of 100; Qwen3.5-122B-A10B is graded B, 63.6 out of 100; Qwen3.5-397B-A17B is graded B, 64.6 out of 100; Qwen3.5-4B is graded C, 61.2 out of 100; Qwen3.5-9B is graded C, 60.5 out of 100; Qwen3.6-35B-A3B is graded B, 63.2 out of 100; Qwen3.8-Flash-Next is graded C, 61.8 out of 100; Qwen3-ASR-0.6B is graded C, 61.2 out of 100; Qwen3-ASR-1.7B is graded B, 64.4 out of 100; Qwen3-Coder-30B-A3B-Instruct is graded C, 55.7 out of 100; Qwen3-Coder-Next is graded C, 57.6 out of 100; Qwen3-Embedding-0.6B is graded B, 63.5 out of 100; Qwen3-Embedding-4B is graded BB, 72.9 out of 100; Qwen3-Embedding-8B is graded BB, 74.7 out of 100; Qwen3-TTS 12Hz 1.7B CustomVoice is graded C, 58 out of 100; Qwen3-VL-2B-Instruct is graded C, 61 out of 100; Qwen3-VL-30B-A3B-Instruct is graded C, 58 out of 100; Qwen3-VL-32B-Instruct is graded C, 56.4 out of 100; Qwen3-VL-4B-Instruct is graded D, 52.6 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist. ## Sources - https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507 - https://raw.githubusercontent.com/QwenLM/Qwen3/main/README.md - https://qwenlm.github.io/about/ - https://www.alibabagroup.com/en-US/about-alibaba - https://www.alibabagroup.com/en-US/about-alibaba-leadership-1493301768354791424 - https://www.alibabagroup.com/en-US/about-alibaba-leadership-1637927598568767488 - https://www.alibabagroup.com/en-US/about-alibaba-leadership-1619437000312487936 - https://en.wikipedia.org/wiki/Jack_Ma - https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507 - https://huggingface.co/Qwen/Qwen3.5-122B-A10B - https://raw.githubusercontent.com/QwenLM/Qwen3.8/main/README.md - https://huggingface.co/Qwen/Qwen3.5-397B-A17B - https://huggingface.co/Qwen/Qwen3.5-4B - https://huggingface.co/Qwen/Qwen3.5-9B - https://huggingface.co/Qwen/Qwen3.6-35B-A3B - https://huggingface.co/Qwen/Qwen3.8-Flash-Next - https://raw.githubusercontent.com/QwenLM/Qwen3.8-Flash-Next/main/README.md - https://huggingface.co/Qwen/Qwen3-ASR-0.6B - https://github.com/QwenLM/Qwen3-ASR - https://raw.githubusercontent.com/QwenLM/Qwen3-ASR/main/README.md - https://huggingface.co/Qwen/Qwen3-ASR-1.7B - https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct - https://raw.githubusercontent.com/QwenLM/Qwen3-Coder/main/README.md - https://huggingface.co/Qwen/Qwen3-Coder-Next - https://huggingface.co/Qwen/Qwen3-Embedding-0.6B - https://github.com/QwenLM/Qwen3-Embedding - https://raw.githubusercontent.com/QwenLM/Qwen3-Embedding/main/README.md - https://huggingface.co/Qwen/Qwen3-Embedding-4B - https://huggingface.co/Qwen/Qwen3-Embedding-8B - https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice - https://github.com/QwenLM/Qwen3-TTS - https://raw.githubusercontent.com/QwenLM/Qwen3-TTS/main/README.md - https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct - https://raw.githubusercontent.com/QwenLM/Qwen3-VL/main/README.md - https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct - https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct - https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct Not the same person as [Jane Jiang](https://www.anchorterminal.com/people/jane-jiang/) (Accio (Alibaba International, Alibaba Group)), [Jane Jiang](https://www.anchorterminal.com/people/jane-jiang-3/) (AgentScope (Alibaba Group)), as far as the research can tell. These 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.