27B
Dense parameters
A single dense model rather than a mixture-of-experts checkpoint.
Independent live demo
Try Qwen3.8 27B online.
Test real prompts in your browser, understand the model's tradeoffs, and move to a clean API when your experiment becomes a product.
Third-party SpaceOpen on Hugging Face ↗
Independent service. This site is not an official Qwen or Alibaba property. The live demo is hosted by a third-party Hugging Face Space and may pause, queue, or change without notice.
Model snapshot
The useful facts, without the launch-day fog.
Qwen3.8 27B is a dense, open-weight vision-language model released on August 14, 2026. The original weights are published under Apache-2.0.
Source: Official Qwen3.8 27B model card
262K
Native context
Long-context support still has real memory and latency costs.
Vision + text
Input modes
Image and video understanding depends on the serving runtime.
Apache-2.0
Weight license
Review the model card and license before redistribution.
Choose your next step
One model, three practical paths.
01
Compare results
Read benchmark scores with their evaluation conditions, not as isolated marketing numbers.
Review benchmarks →02
Run it locally
Pick a GGUF quant, leave memory headroom, and import it into Ollama or llama.cpp.
Open the local guide →03
Build with the API
Use a fixed-model, OpenAI-compatible endpoint with clear request limits and monthly quotas.
Read the API guide →For builders
Prototype freely. Pay only when you need a stable integration.
The embedded community demo is free. Paid plans cover the first-party API, usage tracking, API key controls, and a predictable developer contract.
Compare API plansPOST /v1/chat/completions
200 OK
model: qwen/qwen3.8-27b
quota: visible in dashboard