# Jack Ma (slim) > Jack Ma is co-founder of Alibaba Group. Alibaba Wan (Model Studio), Qwen-Image 2.1 (Model Studio), 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, Qwen3-VL-4B-Instruct, Qwen3-VL-8B-Instruct, Qwen3-VL-Embedding-2B and Qwen3-VL-Embedding-8B on Anchor Terminal, with grades, an about and public profiles. - Full: https://www.anchorterminal.com/people/jack-ma/index.md (~4,400 tokens) · this version ~4,180 tokens · JSON https://www.anchorterminal.com/people/jack-ma/index.json · canonical https://www.anchorterminal.com/people/jack-ma/ - 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, Alibaba Group. Jack Ma led the group of 18 people who set up Alibaba Group in Hangzhou in 1999, and was its chief executive until May 2013 and then executive chairman. ## What Jack builds - [Alibaba Wan (Model Studio)](https://www.anchorterminal.com/tools/alibaba-wan.md), graded B, 65.1/100, in Video generation. Alibaba's Wan video models on Alibaba Cloud Model Studio (DashScope). Co-founder, Alibaba Group, researched 2026-10-27. - [Qwen-Image 2.1 (Model Studio)](https://www.anchorterminal.com/tools/qwen-image-2-1.md), graded B, 64.6/100, in Image generation. Qwen-Image 2.1 is Alibaba's image model for text-to-image and image editing with up to 10 reference images and transparent output, callable as qwen-image-2.1-pro through Alibaba Cloud Model Studio's DashScope and OpenAI-compatible APIs. Co-founder, Alibaba Group, researched 2026-10-27. - [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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/tools/qwen3-vl-8b-instruct.md), graded C, 54.9/100, in Open-weight models. Qwen3-VL-8B-Instruct is Alibaba's open-weight dense vision-language model of about 8B 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, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-Embedding-2B](https://www.anchorterminal.com/tools/qwen3-vl-embedding-2b.md), graded C, 55.4/100, in Embeddings & rerankers. Qwen3-VL-Embedding-2B is Alibaba's open-weight multimodal embedding model of 2.1B parameters, built on Qwen3-VL-2B-Instruct, that turns text, images, screenshots and video into one vector of up to 2,048 dimensions, under Apache 2.0. Co-founder, Alibaba Group, researched 2026-10-27. - [Qwen3-VL-Embedding-8B](https://www.anchorterminal.com/tools/qwen3-vl-embedding-8b.md), graded B, 62.1/100, in Embeddings & rerankers. Qwen3-VL-Embedding-8B is Alibaba's open-weight multimodal embedding model built on Qwen3-VL-8B-Instruct, mapping text, images, screenshots, video or a mix of them to one vector of up to 4,096 dimensions, under Apache 2.0. Co-founder, Alibaba Group, researched 2026-10-27. ## Works with - [Eddie Wu](https://www.anchorterminal.com/people/eddie-wu/), Co-founder, Director and CEO, Alibaba Group - [Joe Tsai](https://www.anchorterminal.com/people/joe-tsai/), Co-founder and Chairman, Alibaba Group - [Jane Jiang](https://www.anchorterminal.com/people/jane-jiang-2/), Co-founder and Chief People Officer, Alibaba Group - [Jin Xu](https://www.anchorterminal.com/people/jin-xu/), First author, Qwen3-Omni Technical Report - [Yang Su](https://www.anchorterminal.com/people/yang-su/), Agent research lead, Qwen series ## Questions ### Who is Jack Ma? Jack Ma led the group of 18 people who set up Alibaba Group in Hangzhou in 1999, and was its chief executive until May 2013 and then executive chairman. ### What does Alibaba Cloud, Alibaba (Qwen team) make? Anchor Terminal lists Alibaba Wan (Model Studio), Qwen-Image 2.1 (Model Studio), 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, Qwen3-VL-4B-Instruct, Qwen3-VL-8B-Instruct, Qwen3-VL-Embedding-2B and Qwen3-VL-Embedding-8B from Alibaba Cloud, Alibaba (Qwen team). ### How are Jack's tools graded? Alibaba Wan (Model Studio) is graded B, 65.1 out of 100; Qwen-Image 2.1 (Model Studio) is graded B, 64.6 out of 100; 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; Qwen3-VL-8B-Instruct is graded C, 54.9 out of 100; Qwen3-VL-Embedding-2B is graded C, 55.4 out of 100; Qwen3-VL-Embedding-8B is graded B, 62.1 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist. ## Sources - https://github.com/Wan-Video/Wan2.2 - https://wan.video/ - https://www.alibabacloud.com/about - https://www.alibabacloud.com/support - https://www.alibabacloud.com/help/en/model-studio/video-generation - 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://en.wikipedia.org/wiki/Jack_Ma - https://huggingface.co/Qwen/Qwen-Image-2.1 - 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-leadership-1619437000312487936 - 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 - https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct - https://github.com/QwenLM/Qwen3-VL - https://huggingface.co/Qwen - https://huggingface.co/Qwen/Qwen3-VL-Embedding-2B - https://github.com/QwenLM/Qwen3-VL-Embedding - https://huggingface.co/Qwen/Qwen3-VL-Embedding-8B Not the same person as [Jack Ma](https://www.anchorterminal.com/people/jack-ma-2/) (inclusionAI (Ant Group)), [Jack Ma](https://www.anchorterminal.com/people/jack-ma-3/) (Accio (Alibaba International, Alibaba Group)), [Jack Ma](https://www.anchorterminal.com/people/jack-ma-4/) (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.