Run Qwen3.8 27B in the EU through an OpenAI-compatible API

Qwen describes Qwen3.8 as the most capable generation of its open models so far, built on the architecture of Qwen3.5. The 27B model is a dense vision-language model with 27 billion parameters and 64 layers, released under the Apache 2.0 licence. It reads images and video, from diagrams and documents to long recordings.

Its native context is 262,144 tokens and can be extended to about one million. Thinking is on by default, can be switched off per request, and its depth is set with reasoning_effort. Reasoning from earlier messages is kept by default through preserved thinking. Qwen highlights gains in coding, professional work, research and long-horizon agent tasks over Qwen3.6.

Qwen3.8 27B offers a lot for its size: strong coding and agent behaviour, image and video understanding, and wide support in common coding harnesses and tools. Because it is dense and only 27 billion parameters, it is easy to serve and quick to respond, which makes it a good default for teams that want one capable mid-sized model.

It does not reach the depth of very large models such as Kimi K3, GLM-5.3 or Qwen's own much larger Qwen3.8 releases on the hardest tasks. High reasoning effort produces long outputs, and Qwen notes that lowering effort in multi-turn agent tasks does not always save time overall. Its training reflects its maker's choices on sensitive topics.

inference.eu uses the OpenAI request format, and the Anthropic Messages format is available too, so SDKs and coding tools work unchanged. Set the base URL to the inference.eu API, use your inference.eu key and set the model to qwen3.8-27b.

Set reasoning_effort to low, medium or xhigh; xhigh is the default. To answer without thinking, pass enable_thinking: false in chat_template_kwargs through extra_body. Preserved thinking is on by default, so pass assistant messages back unchanged in agent loops. Qwen recommends temperature 1.0 and top_p 0.95 in thinking mode. Send images as image_url parts.

On inference.eu, Qwen3.8 27B runs on infrastructure in the European Union. Your prompts, images, video, code and the model's responses are processed in EU data centres, are not sent to Alibaba in China, and are never used to train any model.

Every customer receives a data processing agreement under Article 28 of the GDPR and our subprocessor list. Billing is in euros. The Apache 2.0 licence allows commercial use, modification and redistribution without user limits or revenue thresholds, which keeps legal review simple compared with models that carry their own licences.