Home/Compare/Qwen vs Qwen-VL

Comparison

Qwen vs Qwen-VL

Verdict

Pick Qwen if qwen is a large language model developed by Alibaba Cloud, available in Python with support for PyTorch and Transformers. It offers Docker images for easy deployment and supports various deployment options including Open; pick Qwen-VL if qwen-VL by Alibaba Cloud is a large vision-language model suitable for tasks blending image understanding with NLP, available under flexible licensing.

Markdown twin · Qwen alternatives · Qwen-VL alternatives

GraphCanon updated Sep 20, 2026

17views this month

Qwen logo

Qwen

QwenLM/Qwen

★ 22kpushed Mar 5, 2026
vs
Qwen-VL logo

Qwen-VL

QwenLM/Qwen-VL

★ 6.7kpushed Aug 7, 2024

Trust & integrity

SignalQwenQwen-VL
Maintenance
Slowing (196d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (740d since push)
As of Aug 17, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 17, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
Published findings
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

Qwen
Official repo of Qwen, a large language model by Alibaba Cloud
Qwen-VL
Official repo of Qwen-VL, a large vision language model by Alibaba Cloud

Stars

Qwen
22k
Qwen-VL
6.7k

Forks

Qwen
1.9k
Qwen-VL
495

Open issues

Qwen
43
Qwen-VL
324

Language

Qwen
Python
Qwen-VL
Python

Adopt for

Qwen
Qwen is a large language model developed by Alibaba Cloud, available in Python with support for PyTorch and Transformers. It offers Docker images for easy deployment and supports various deployment options including Open
Qwen-VL
Qwen-VL by Alibaba Cloud is a large vision-language model suitable for tasks blending image understanding with NLP, available under flexible licensing.

Persona

Qwen
-
Qwen-VL
-

Runtime

Qwen
-
Qwen-VL
-

License

Qwen
Apache-2.0
Qwen-VL
Permits both research and commercial use; review LICENSE for specifics.

Last pushed

Qwen
Mar 5, 2026
Qwen-VL
Aug 7, 2024

Categories

Qwen
Inference & Serving, LLM Frameworks
Qwen-VL
Computer Vision, LLM Frameworks, Model Training

Trust and health

Maintenance

Qwen
Slowing (36%)
Qwen-VL
Dormant (18%)

Days since push

Qwen
196d
Qwen-VL
740d

Open issues (now)

Qwen
43
Qwen-VL
324

Stars delta

Qwen
+177 (30d)
Qwen-VL
+16 (30d)

Open issues delta

Qwen
-1 (30d)
Qwen-VL
0 (30d)

Full report

Typed relationship

Qwen alternative Qwen-VLBoth Qwen and Qwen-VL are vision-language models from Alibaba Cloud, designed for Chinese natural language processing tasks.

Shared compatibility

  • Python · Qwen: Python runtime · Qwen-VL: Python runtime

Choose Qwen if…

  • License: Qwen is Apache-2.0, Qwen-VL is Other.
  • Requirements: Requires Docker; Requires Python 3.8 and above.; PyTorch 1.12 and above is required, with 2.0 and above recommended.; Transformers 4.32 and above are required.; CUDA 11.4 and above are recommended for GPU users..
  • Both Qwen and Qwen-VL are vision-language models from Alibaba Cloud, designed for Chinese natural language processing tasks.
  • Tags unique to Qwen: chinese, docker, flash-attention, llm.
  • Also covers Inference & Serving.
  • When you need a large language model that supports Chinese language processing effectively.

When NOT to use Qwen

  • If your project strictly requires models under a different license, as Qwen is under the Apache-2.0 License with specific commercial use agreements.
  • When you need a model that does not require CUDA 11.4 or above for GPU acceleration, as Qwen recommends this for optimal performance.
  • If your deployment environment does not support Docker, as Qwen heavily relies on Docker images for easy setup and deployment.

Choose Qwen-VL if…

  • License: Qwen-VL is Other, Qwen is Apache-2.0.
  • Requirements: Requires python >=3.8, pytorch>=1.12 (cuda >=11.4 recommended).
  • Both Qwen and Qwen-VL are vision-language models from Alibaba Cloud, designed for Chinese natural language processing tasks.
  • Tags unique to Qwen-VL: vision-language-model.
  • Also covers Computer Vision, Model Training.
  • When needing to integrate visual inputs with natural language in AI applications

When NOT to use Qwen-VL

  • If the application requires only traditional computer vision without language integration
  • In scenarios where Python 3.8 or newer and PyTorch 1.12+ are not feasible for installation

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: Qwen 22k · Qwen-VL 6.7k (synced Sep 20, 2026).

Common questions

What is the difference between Qwen and Qwen-VL?
Qwen: Official repo of Qwen, a large language model by Alibaba Cloud. Qwen-VL: Official repo of Qwen-VL, a large vision language model by Alibaba Cloud. See the comparison table for live GitHub stats and shared categories.
When should I choose Qwen over Qwen-VL?
Choose Qwen over Qwen-VL when License: Qwen is Apache-2.0, Qwen-VL is Other; Requirements: Requires Docker; Requires Python 3.8 and above.; PyTorch 1.12 and above is required, with 2.0 and above recommended.; Transformers 4.32 and above are required.; CUDA 11.4 and above are recommended for GPU users.; Both Qwen and Qwen-VL are vision-language models from Alibaba Cloud, designed for Chinese natural language processing tasks; Tags unique to Qwen: chinese, docker, flash-attention, llm; Also covers Inference & Serving; When you need a large language model that supports Chinese language processing effectively.
When should I choose Qwen-VL over Qwen?
Choose Qwen-VL over Qwen when License: Qwen-VL is Other, Qwen is Apache-2.0; Requirements: Requires python >=3.8, pytorch>=1.12 (cuda >=11.4 recommended); Both Qwen and Qwen-VL are vision-language models from Alibaba Cloud, designed for Chinese natural language processing tasks; Tags unique to Qwen-VL: vision-language-model; Also covers Computer Vision, Model Training; When needing to integrate visual inputs with natural language in AI applications.
When should I avoid Qwen?
If your project strictly requires models under a different license, as Qwen is under the Apache-2.0 License with specific commercial use agreements. When you need a model that does not require CUDA 11.4 or above for GPU acceleration, as Qwen recommends this for optimal performance. If your deployment environment does not support Docker, as Qwen heavily relies on Docker images for easy setup and deployment.
When should I avoid Qwen-VL?
If the application requires only traditional computer vision without language integration In scenarios where Python 3.8 or newer and PyTorch 1.12+ are not feasible for installation
Is Qwen or Qwen-VL more popular on GitHub?
Qwen has more GitHub stars (21,772 vs 6,724). Stars measure visibility, not whether either tool fits your constraints.
Are Qwen and Qwen-VL open source?
Yes - both are open-source projects on GitHub (Qwen: Apache-2.0, Qwen-VL: Other).
Where can I find alternatives to Qwen or Qwen-VL?
GraphCanon lists graph-backed alternatives at Qwen alternatives and Qwen-VL alternatives (Qwen markdown twin, Qwen-VL markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, Qwen or Qwen-VL?
Qwen: Slowing. Qwen-VL: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for Qwen and Qwen-VL?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Qwen trust report; Qwen-VL trust report.

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