# Know Your LLMs: Enterprise AI Model Evaluations for CData Connect AI

**URL:** <https://community.cdata.com/t/know-your-llms-enterprise-ai-model-evaluations-for-cdata-connect-ai/1264>\
**Category:** CData Connect AI\
**Tags:** llm, cdata-connect-ai, discussion, ai\
**Created:** [January 16, 2026, 9:28am UTC](https://community.cdata.com/t/know-your-llms-enterprise-ai-model-evaluations-for-cdata-connect-ai/1264 "2026-01-16T09:28:55Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Mohsin](https://avatars.discourse-cdn.com/v4/letter/m/41988e/32.png) [@Mohsin](https://community.cdata.com/u/Mohsin)\
**Post date:** [January 16, 2026, 9:28am UTC](https://community.cdata.com/t/know-your-llms-enterprise-ai-model-evaluations-for-cdata-connect-ai/1264/1 "2026-01-16T09:28:55Z")

</div>

Choosing the right LLM for your enterprise data workflows just got easier.

We’ve published a new **Know Your LLMs** series in our Knowledge Base—comprehensive technical evaluations of the leading AI models for integration with CData Connect AI. Each article covers architecture, API specifications, function calling capabilities, security posture, and deployment guidance.

**The series includes:**

- [Mistral AI](https://www.cdata.com/kb/articles/know-llm-mistral.rst) — EU-hosted, open-weight models with native Le Chat MCP support
- [ChatGPT (OpenAI)](https://www.cdata.com/kb/articles/know-llm-chatgpt.rst) — GPT-4o and the industry’s largest ecosystem
- [Claude (Anthropic)](https://www.cdata.com/kb/articles/know-llm-claude.rst) — Extended context windows and strong reasoning
- [Gemini (Google)](https://www.cdata.com/kb/articles/know-llm-gemini.rst) — Deep Google Workspace integration
- [Grok (xAI)](https://www.cdata.com/kb/articles/know-llm-grok.rst) — Real-time data and unique training approach

Each evaluation includes verified benchmark data, integration patterns, compliance frameworks, and model selection guidance to help you match the right LLM to your use case.

Have questions or want to share your experience with a specific model? Drop a comment below!
