Models

Qwen3 Next 80B A3B Thinking

Alibaba Qwen

Catalogue only Open weights

Last reviewed:

Sovereignty and hosting

Catalogue only

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Summary

Qwen3 Next 80B A3B Thinking is an open-weight language model from Alibaba Qwen with an unpublished parameter count, published under Apache-2.0. The repository was created in September 2025 and is mirrored on Hugging Face. It takes text and returns text. The checkpoint is instruction-tuned and ships a chat template. The published configuration records no context window, so this card carries none. The card is catalogue-only: LLM EU does not run this model. The publisher states no language coverage on the model page.

Specifications

Provider
Alibaba Qwen (CN)
Context window
Not verified: the provider has not documented this claim.
Parameters
Not verified: the provider has not documented this claim.
Modalities
text
License
apache-2.0 · licence
Open weights
yes
Release date
09 Sept 2025
Tasks
Reasoning, Coding

Languages

Strong: —

Adequate: —

Strong

    Adequate

      Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

      When to use it

      Strengths

      • open weights are published on Hugging Face and can be downloaded without a vendor agreement
      • Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
      • instruction-tuned checkpoint with a chat template in the repository

      Limits

      • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
      • no evaluation has been run by LLM EU
      • the published configuration records no context window, so the card carries none
      • the publisher states no parameter count in the harvested record
      • the hardware footprint cannot be estimated because no parameter count is published