Proprietary and open-weight models
Access GPT, Claude, Gemini, Kimi, GLM, DeepSeek, MiMo and more through TextCortex. Choose models from the catalog available to your account.
TextCortex API · Models and routing
Access MiMo through TextCortex’s EU-hosted, OpenAI-compatible API. Use the same integration for GPT, Claude, Gemini and other supported models.
Why TextCortex
MiMo is one model choice in TextCortex’s broader API catalog. Build with European inference for this workload, then route other requests to the models your application needs.
Access GPT, Claude, Gemini, Kimi, GLM, DeepSeek, MiMo and more through TextCortex. Choose models from the catalog available to your account.
Use a familiar client, one TextCortex API key and a common base URL. Change the model identifier to switch between supported models.
Use EU-hosted routes for European inference requirements. Hosting depends on the selected model and route; the wider catalog also includes other deployments.
Start with a bounded task such as classification, document extraction or a product assistant. Score usable outputs and response times before choosing MiMo as the default for that feature.
Keep your model client pointed at https://api.textcortex.com/v1. Select the model identifier returned for your account, with the EU-hosted deployment required by your application.
Choose the EU-hosted MiMo route for requests that need European model processing. Keep that requirement attached to the route when changing versions or adding fallback behavior.
Your application may also use other models from the catalog. Their hosting arrangements can differ, so keep an explicit list of the deployments permitted for each workload.
Create a TextCortex account and generate an API key in account settings. Install the OpenAI Python package on your server. Store the key in TEXTCORTEX_API_KEY and set TEXTCORTEX_MODEL to an identifier returned by GET /models.
This example keeps credentials in environment variables. The same client configuration works when you choose another supported model. Read the API reference for endpoint-specific parameters.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["TEXTCORTEX_API_KEY"],
base_url="https://api.textcortex.com/v1",
)
for model in client.models.list():
print(model.id)
response = client.chat.completions.create(
model=os.environ["TEXTCORTEX_MODEL"],
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Use the same TextCortex connection to compare MiMo with GPT, Claude, Gemini and other open-weight models. Assign models to different tasks using your application’s routing configuration.
Review capabilities for the chosen version before enabling tools, structured output, streaming or reasoning settings. The model selection guide helps you build a repeatable evaluation.
Keep one API integration while expanding the models available to your product.
Questions
Use the MiMo identifier available in your TextCortex account catalog. Retrieve identifiers with GET /models and select the intended EU-hosted deployment. Display names and API identifiers are not interchangeable.
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.
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.
Use the rates for your selected model and account. Estimate input and output tokens separately and include any applicable cached-token, reasoning-token or other charges. API consumption is distinct from a workspace subscription.
TextCortex AI
Sign up for TextCortex, create an API key and start building with the models your application needs.
Product documentation and provider references used for this guide. Reviewed on 5 October 2026.