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TextCortex API guides

European AI APIs: models, hosting and control

Evaluate European AI APIs by processing route, model access and application control. Explore TextCortex’s EU-hosted inference options.

European AI APIs: models, hosting and control

The practical takeaway

Build on a multi-model API.

Turn a broad sovereignty requirement into concrete API choices: model deployment, processing region, data handling and application ownership.

Define the control your project needs

European hosting, access to open weights and control of infrastructure are different requirements. Decide which are necessary for your application instead of assuming that one guarantees the others.

An API can provide access to an EU-hosted model without giving your team ownership of its serving infrastructure. Self-hosting can provide more operational control while creating additional responsibilities.

Choose the eligible model routes

TextCortex provides EU-hosted model options within a broader catalog of proprietary and open-weight models. Select the route that meets the workload’s requirements.

Use Kimi K3, GLM-5.3, DeepSeek and MiMo as starting points for European inference access.

Keep the application architecture visible

Document where prompts originate, where context is retrieved, how results are logged and which tools can receive information. Regional inference is one part of that path.

A common model API helps separate model access from application code. Keep routing configuration and application permissions under your team’s control.

Evaluate the API on a real workload

Test an approved input set against the chosen deployment. Check output validity, latency and usage, then confirm the processing conditions that apply to the rollout.

Read the data residency guide and OpenAI-compatible API guide for the implementation steps.

Questions

Your next questions, answered.

Are all models in the catalog EU-hosted?

TextCortex offers EU-hosted model routes and a broader multi-provider catalog. Select the EU-hosted deployment required by your application; catalog membership alone does not establish where a particular request is processed.

Can I use an OpenAI-compatible client?

Yes. Configure the client with the TextCortex base URL and API key. Use a TextCortex model identifier and the parameters supported by that model. Model discovery, chat completions and responses are documented in the API reference.

Is TextCortex limited to open-source models?

No. The API provides access to proprietary model families such as GPT, Claude and Gemini alongside open-weight families such as Kimi, GLM, DeepSeek and MiMo. Use GET /models to list the identifiers available to your account.

TextCortex AI

One integration. Your choice of models.

Sign up for TextCortex, create an API key and start building with the models your application needs.

Sources and documentation

Product documentation and provider references used for this guide. Reviewed on 5 October 2026.