Qwen3.8-27B
Qwen3.8-27B is a 27B-parameter dense causal language model with a vision encoder released in Hugging Face Transformers format, provided as model weights and configuration (safetensors) for direct use. It is presented as a native vision-language model with extended context support and improvements for coding, long-horizon agentic tasks, and reasoning control.
What it does
Use it for coding, research, professional tasks, image and video analysis, and multi-step agent workflows.
- Availability
- Model weights and configuration files are provided in the repository.
- Pricing model
- Not established
- Deployment
- Artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, and TokenSpeed.
- Privacy
- Not established
- Licence
- Apache-2.0
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
6 claims- The repository contains model weights and configuration files in Hugging Face Transformers format. [1]
> This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - Qwen3.8-27B is a native vision-language model that understands images and videos. [1]
Qwen3.8-27B brings these advances to a compact, deployment-friendly dense model: a native vision-language model that understands images and videos, with flexible thinking control, designed to carry complex, multi-step tasks through to completion with greater reliability.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - Thinking mode is on by default and can be disabled per request. [1]
- **Flexible Thinking Control**: Thinking mode is on by default and can be disabled per request; reasoning depth can be tuned with `reasoning_effort`, and reasoning context from historical messages is retained via `preserve_thinking`.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - Reasoning depth can be tuned with the reasoning_effort setting. [1]
- **Flexible Thinking Control**: Thinking mode is on by default and can be disabled per request; reasoning depth can be tuned with `reasoning_effort`, and reasoning context from historical messages is retained via `preserve_thinking`.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - The model has a native context length of 262,144 tokens and is extensible to 1,000,000 tokens. [1]
- Context Length: 262,144 natively and extensible up to 1,000,000 tokens.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights. - The model artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, and TokenSpeed. [1]
> These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, TokenSpeed, etc.
Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
Sources
1
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Verified
Versions
2| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 2 | 2026-09-25 03:52 UTC | material change | capability, modality, access, deployment, availability, deployment | Current |
| 1 | 2026-08-05 08:22 UTC | publication | None | Current |
In briefs
2- Qwen3.8-27B leads 2 AI developments in week 32, 2026 Weekly brief 2026-W32
- Qwen3.8-27B from Alibaba Qwen, the one AI development on 5 August 2026 Daily brief 2026-08-05
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.