Write the model shortlist first
List the model families and capabilities the application requires. Include proprietary models such as GPT, Claude or Gemini alongside any open-weight models needed for the workload.
Compare actual catalog identifiers and deployments. A large advertised model count is less useful than access to the versions and routes your application will use.
Compare gateways on their routing behavior
OpenRouter and EURouter are gateway alternatives to evaluate alongside TextCortex. Look at model selection, provider-specific parameters, fallback controls and error handling.
TextCortex provides a common API connection across model families. Use explicit model choices in your application, and only enable automated routing features documented for your configuration.
Review European inference separately
Identify the selected EU-hosted model routes, then review the surrounding application systems and applicable processing conditions. A gateway comparison is not proof that every request stays in one region.
Explore the TextCortex EU model catalog for Kimi K3, GLM-5.3, DeepSeek and MiMo pages, and keep the wider catalog available for other requirements.
Make the comparison executable
Create an API key, configure the TextCortex base URL and replay a representative request set. Compare output validity, usage cost and latency with your existing integration.
Use the OpenRouter migration guide and commercial comparison to decide which workload to move first.