MiniMax-M1 vs open-webui
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| MiniMax-M1 | open-webui | |
|---|---|---|
| Tagline | MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model. | User-friendly AI Interface (Supports Ollama, OpenAI API, ...) |
| Stars | 3.2k | 145k |
| Forks | 283 | 21k |
| Open issues | 30 | 338 |
| Language | Python | Python |
| License | Apache-2.0 | Other |
| Last pushed | Jul 7, 2025 | Jul 2, 2026 |
| Categories | LLM Frameworks | LLM Frameworks, Inference & Serving |
MiniMax-M1
MiniMax-M1 is an innovative large-scale hybrid-attention reasoning model designed to advance the capabilities of language models and AI agents. It is released in an effort to contribute to the open-source community by providing a robust foundation for research and development in natural language understanding, reasoning, and general machine learning tasks.
Python
open-webui
Open WebUI is an extensible and feature-rich self-hosted AI platform that supports various LLM runners like Ollama and OpenAI-compatible APIs. It includes a built-in inference engine for RAG operations.
Python