OpenAI Alternative Europe

If your only reason for staying on the OpenAI API is that your code already speaks it, that reason is gone. HostYourAI exposes the same /v1/chat/completions interface, with SSE streaming, at https://hostyourai.com/api/v1. Change the base URL, swap your sk- key for a hyai- key, and your application talks to open models running on European GPUs instead.

Behind that familiar interface sits a different philosophy: open models such as Llama, Qwen, Mistral and DeepSeek, served with vLLM by a Dutch company, with all inference in European datacenters. You trade a closed model in the US for an inspectable one in the EU.

Why an OpenAI alternative in the EU

No US CLOUD Act exposure

Requests to a US provider fall under US jurisdiction, whatever the contract says. An EU-based alternative removes that entire discussion: the provider, the hardware and the applicable law are all European, which is exactly what a growing number of privacy officers now require before approving an AI feature.

GDPR alignment without transfers

Because prompts never leave the EU, there is no international transfer to justify. A DPA is available, the subprocessor list is public, and customer data is never used for training. Your records of processing get one clean line instead of a transfer annex.

Cost that follows usage, not lock-in

Open models compete on merit, and you can switch between more than 100 of them in the model catalog by changing one string. Payment is pay-as-you-go from a prepaid credit balance; see the pricing page.

What migrating actually takes

For most codebases the honest answer is: minutes. The official OpenAI SDKs for Python and JavaScript accept a custom base URL, so the change is two constructor arguments plus a model name. Streaming, temperature, max tokens and system prompts behave as you expect. The step-by-step version, including how to pick an equivalent open model for your current GPT usage, is in the guide Migrate your OpenAI client to the EU Router.

Teams on the Anthropic SDK are covered too: a /v1/messages shim accepts x-api-key authentication and text-only messages, with buffered streaming. And if you rely on retrieval, you can link a knowledge base to the EU Inference Router so relevant context is injected into completions automatically.

How to start

Here is the entire migration for a Python service.

from openai import OpenAI

client = OpenAI(
    base_url="https://hostyourai.com/api/v1",  # was api.openai.com/v1
    api_key="hyai-...",                        # was sk-...
)

stream = client.chat.completions.create(
    model="llama-3.1-8b",  # was gpt-4o-mini
    messages=[{"role": "user", "content": "Rewrite this error message for end users."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

Questions about an OpenAI alternative