Qwen3.8-27B
Qwen3.8-27B is Qwen's deployment-oriented dense multimodal model for coding, professional work, research, and long-horizon agents.
Provider
Alibaba Qwen
Model family
Alibaba Qwen
Open-weight dense multimodal LLM
Cost tier
Dense 27b
Status
Current
Release Aug 18, 2026
Why teams choose it
Qwen3.8-27B is a dense 27B model aimed at more practical local and private deployment
than the 2.4T flagship checkpoint.
The model is natively multimodal and supports text
image, and video understanding with text output.
Its native 262K context can be extended toward 1M only with a supported serving
configuration and additional resource cost.
Tradeoffs to know
- A 27B dense multimodal model still requires substantial memory, especially at long context or higher precision.
- Extended context, quantization, and runtime implementations can change quality and throughput; benchmark the exact deployment stack.
- The hosted Qwen3.8-27B service may add production features not present in the downloadable checkpoint.
Technical specs
- Inputs
- text, image, video
- Outputs
- text
- Capabilities
- coding, multimodal reasoning, image understanding, video understanding, long-horizon agents, research, configurable reasoning, local deployment
- License
- Apache 2.0
- Source
- https://huggingface.co/Qwen/Qwen3.8-27B
- Parameters
- 27B
- Native context
- 262,144
Benchmarks
No independent or vendor benchmark scores in this catalog entry.
Alibaba Qwen family lineup
Current models
Related models
Qwen3.8-27B FAQ
What is Qwen3.8-27B?
Qwen3.8-27B is Qwen's deployment-oriented dense multimodal model for coding, professional work, research, and long-horizon agents. The official repository documents 27B parameters, native image and video understanding, flexible reasoning effort, a 262,144-token native context extensible to 1M, and compatibility with Transformers, vLLM, SGLang, and TokenSpeed.
When does Qwen3.8-27B fit best?
Private multimodal assistants
What should teams watch out for with Qwen3.8-27B?
A 27B dense multimodal model still requires substantial memory, especially at long context or higher precision.
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