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Welcome to uniGPT

uniGPT is the University of Münster's AI platform, providing students, researchers, and employees with access to a wide range of large language models (LLMs) — both self-hosted on-premises models and external providers like OpenAI, Google Gemini, and Anthropic Claude.

What can you do with uniGPT?

  • Chat with AI models via a modern web interface
  • Access models programmatically through an OpenAI-compatible API
  • Generate images using state-of-the-art diffusion models
  • Upload and analyze documents directly in the chat

Key Highlights

  • GDPR-compliant: Internal models run entirely on university infrastructure — your data never leaves the university.
  • No separate subscriptions needed: Access models from OpenAI, Google, and Anthropic through a single interface without managing individual accounts.
  • Free for all university members: Available to all students and employees with a university account.

Getting Started

  1. Navigate to gpt.uni-muenster.de
  2. Log in with your university credentials (SSO).
  3. Select a model and start chatting!

First time?

We recommend starting with one of the internal models (e.g., gemma-4-31B-it, DeepSeek V4 Flash, medgemma-1.5-4b-it for medical use cases, or Qwen3.5-35B-A3B) — they are fast, free of external cost, and fully GDPR-compliant.

Support

Need help? Join our support channel: uniGPT Support

E-Learning Course

A German-language e-learning course is available for getting started with uniGPT:

UniGPT E-Learning (Confluence)

The course covers 10 sections across approximately 48 minutes, including chat settings, model selection, prompting techniques, risk awareness, and a final quiz. After completing it, you will be able to confidently use uniGPT in your daily work and understand the different use cases across various contexts.

Terms of Use & Privacy

The usage policy and privacy statement can be found directly below the chat input field in the web interface.

Citing uniGPT

If you use uniGPT in your research, teaching, or other scientific work, please cite the publication describing this service:

Radas, J., Risse, B., & Vogl, R. (2026). UniGPT Revisited: From a Simple Chatbot to an API-First AI Platform — Two Years of On-Premises LLM Operations. In L. Desnos, C. Diaz, J. Mincer-Daszkiewicz, L. Merakos, R. Vogl, & S. U. McLellan (Eds.), EPiC Series in Computing: Vol. 109. Proceedings of EUNIS 2026 Annual Congress (pp. 96–107). EasyChair. doi: 10.29007/4rq8