Founder of a listed tool
Joe Tsai
Named behind 25 listings on Anchor Terminal.
What Joe builds
Alibaba Wan (Model Studio) B · Video generation
Alibaba's Wan video models on Alibaba Cloud Model Studio (DashScope).
Co-founder and Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen-Image 2.1 (Model Studio) B · 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 and Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-30B-A3B-Instruct-2507 C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-4B-Instruct-2507 C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3.5-122B-A10B B · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3.5-397B-A17B B · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3.5-4B C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3.5-9B C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3.6-35B-A3B B · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3.8-Flash-Next C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-ASR-0.6B C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-ASR-1.7B B · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-Coder-30B-A3B-Instruct C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-Coder-Next C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-Embedding-0.6B B · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-Embedding-4B BB · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-Embedding-8B BB · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-TTS 12Hz 1.7B CustomVoice C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-2B-Instruct C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-30B-A3B-Instruct C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-32B-Instruct C · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-4B-Instruct D · 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 Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-8B-Instruct C · 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 and Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-Embedding-2B C · 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 and Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Qwen3-VL-Embedding-8B B · 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 and Chairman, Alibaba Group, researched 27 October 2026 · the people behind it
Works with
- Eddie Wu Co-founder, Director and CEO, Alibaba Group
- Jack Ma Co-founder, Alibaba Group
- Jane Jiang Co-founder and Chief People Officer, Alibaba Group
- Jin Xu First author, Qwen3-Omni Technical Report
- Yang Su Agent research lead, Qwen series
Questions
Who is Joe Tsai?
Joe Tsai joined Alibaba as a member of its founding team in 1999 and has sat on its board since the start. He was chief financial officer until 2013 and executive vice chairman until September 2023, and is now chairman. Earlier he was a private equity investor in Asia with Investor AB and a tax lawyer at Sullivan & Cromwell.
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). Alibaba's Wan video models on Alibaba Cloud Model Studio (DashScope).
How are Joe'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 (49)
- 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 Joe Tsai (Accio (Alibaba International, Alibaba Group)), Joe Tsai (AgentScope (Alibaba Group)), as far as the research can tell, since the listings name them at different companies with different or no profiles.
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. They don't work for Anchor Terminal (our own team is on the about page). 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.