DeepSeek Hosting Europe

R1-style models think before they answer, and that changes how you engineer around them. Outputs are long: the reasoning trace plus the final answer can be several times the length of a normal completion, so set max_tokens generously and budget per request rather than per prompt. Always use SSE streaming so the user sees progress during the thinking phase, and decide explicitly whether your UI shows the reasoning or only the conclusion.

Cost-wise, reserve reasoning models for the steps that need them: planning, math, multi-hop analysis. Route routine completions to a smaller model from the model catalog, and keep both behind the same EU Inference Router key so switching is a one-line change. Heavy sustained reasoning traffic is often better on dedicated GPU instances, where throughput is yours alone.

Teams searching for a DeepSeek API in Europe usually want two things: the model quality and a guarantee that requests stay on European soil. The endpoint below gives you both. It is OpenAI-compatible, so any OpenAI SDK works after changing the base URL to https://hostyourai.com/api/v1, and inference runs in European datacenters under a Dutch operator.

curl https://hostyourai.com/api/v1/chat/completions \
  -H "Authorization: Bearer hyai-..." \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-r1-distill-llama-70b",
    "messages": [{"role": "user", "content": "Summarise the GDPR duties of a data processor in three bullet points."}]
  }'

Add "stream": true for token streaming, and use the same key for every model in the catalog. There is no separate DeepSeek contract, no third-country transfer to document, and no code change beyond the base URL.

Is DeepSeek hosted in the EU?

Yes. On HostYourAI, DeepSeek is hosted in the EU: the open-weight models run on GPUs in European datacenters, operated by a Dutch company. Prompts and completions stay on European infrastructure, and nothing is ever sent to DeepSeek's own servers.

Does DeepSeek the company ever see my prompts?

No. Only the open-weight model files are used. Inference runs entirely on European infrastructure, and the public subprocessor list shows every party involved: the vendor is not one of them.

Which DeepSeek models can I run?

The open-weight releases in the catalog, including the R1 reasoning family and distilled variants. Check the Model Garden for the current state of each.

Why are R1 responses so long?

Reasoning models generate an internal chain of thought before the final answer. Plan for larger max_tokens values and use streaming so users see progress while the model thinks.

Is a reasoning model overkill for my use case?

Often, yes. Use R1 for planning, analysis and math, and pair it with a smaller general model for everyday completions. Both run behind the same API key.

What does running DeepSeek cost?

Pay per token on the Router or per hour on a dedicated instance, both from one prepaid credit balance. Details are on the pricing page.