MiniMax M1 vs. Kimi-Dev: Open-Source Model Comparison
MiniMax-M1 vs Kimi-Dev-72B: Open-source AI battle! Compare long-context reasoning, coding & agent performance.
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On the same day, major model providers collectively launched new models.
MiniMax and Moonshot AI each announced new open-source achievements.
Among them, MiniMax kicked off "MiniMax Week" and open-sourced its latest long-context reasoning LLM, MiniMax-M1, on the first day. This model supports the world's longest context window, including 1 million tokens for input and 80,000 tokens for output.
Moreover, MiniMax-M1 boasts the strongest agent tool usage capabilities among open-source models. Its reinforcement learning efficiency is remarkable, requiring only $534,700 to complete training.
Currently, MiniMax-M1 has been integrated into MiniMax Chat.
What are the standout features of the powerful MiniMax-M1? First, it supports UI component focusing (Spotlight), allowing users to instantly build an HTML page with a canvas-based animated particle background by simply entering a prompt.
Second, MiniMax-M1 supports interactive applications. For example, when tasked with building a typing speed test, it quickly generates a clean, functional web application that tracks WPM (words per minute) in real-time, requiring no plugins or setup.
Additionally, MiniMax-M1 excels in visualization effects. For instance, with the prompt: "Create an HTML page with a canvas-based animated particle background. The particles should move smoothly and connect when close. Add a central heading text over the canvas," it delivers impressive results.
