CACrown ArchivesThe cinema collection
Menu
Research dossier · General Reference

Qwen

artificial intelligence chatbot developed by Alibaba Cloud

Cross-disciplinary reference desk with index cards, atlas, dictionary and catalogue
General referenceInterpretive dossier study · Crown Archives visual atlas
Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionSep 22, 2026
Entity authorityQ130234299
Source-derived summary

Qwen (also known as Tongyi Qianwen, Chinese: 通义千问; pinyin: Tōngyì Qiānwèn) is a family of predominantly open weights large and small language models (LLM and SLM) developed by Alibaba Cloud.

Its latest version, Qwen3.8; the 2.4 trillion parameter model was the second largest and second most powerful open weights LLM and Chinese LLM released by 12 August 2026, after Kimi K3. Larger models require a revenue sharing agreement from providers generating more than US$50 million annually. The distilled Qwen3.8 27B was released under a more permissive Apache License.

The first iteration of Qwen, based on Meta AI's Llama 1, launched a beta in April 2023, releasing the weights of its 72B model that December.

A local version of Qwen is used by Apple Intelligence in China, integrated with the operating system. Permissive licenses and smaller releases make them a common starting point for further fine-tuned and abliterated models in the open-source community.

Models

Qwen

Alibaba launched a beta of Qwen in April 2023 under the name Tongyi Qianwen, then opened it for public use in September 2023 after regulatory clearance.

The model's architecture was based on the Llama architecture developed by Meta AI. In December 2023, it released its 72B and 1.8B models for download, while Qwen 7B weights were released in August.

Qwen2

Qwen2 was released in June 2024, and in September it released some of its models with open weights, while keeping its most advanced models proprietary.

Editorial summary

Begin with the source’s own compact description: “Qwen” is artificial intelligence chatbot developed by Alibaba Cloud. The dossier treats that line as a proposition to test through Qwen, artificial and intelligence, not as a finished interpretation.

Editorial reviewA concise reference frame for defining the subject, testing terminology and identifying the institution closest to the evidence. The current lead gives the account dated anchors—2026, 2023, 2024—that can be checked directly. The authority record carries competing date values—2023-04-07, 2023-04—which should remain separate until their references and qualifiers are resolved. For this dossier, Qwen, artificial and intelligence is the immediate research focus.
Editorial analysis

Why this record matters

The phrase “artificial intelligence chatbot developed by Alibaba Cloud” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.

Evidence profile

The citation trail is more important than the brevity of the summary: it shows where individual claims can be examined in context. The source revision retrieved here is dated Sep 22, 2026. The linked authority identifier is Q130234299. 2 of 6 selected statements include explicit references; 4 carry qualifiers and 2 use preferred rank. The first chronological checks are 2026, 2023 and 2024.

Critical limits

Overview language is designed for orientation and should not be treated as a substitute for the evidence cited beneath it. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.

How to read it

Use the entry as an orientation point, then follow its citations and revision history. Names, dates and institutional relationships should be checked against the original record.

Best used for
  • Subject orientation
  • Search vocabulary
  • Locating named sources
Verify next

The closest primary source, responsible institution and strongest cited specialist reference.

Three-step research path

  1. Establish the record: confirm the title “Qwen”, its source revision and the description used here.
  2. Expand the search: follow Qwen primary sources, Qwen archive and Qwen research across catalogues and specialist indexes.
  3. Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.

Questions for further research

  1. Which source most directly establishes the central claim about “Qwen”?
  2. Which institution is responsible for the underlying evidence?
  3. Which cited source is closest to the event, object or claim?
Subject index

Search terms from this dossier

Source & attribution

This entry incorporates text from Qwen” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.