Serving MiniMax-M3 for efficient inference: Unlocking 1M-Token Context and Multimodality Without Regrets

MiniMax-M3 is a large language model capable of handling 1 million token contexts and multimodal inputs while maintaining efficient inference performance. Together AI's blog post discusses techniques and infrastructure for serving this model effectively, enabling users to leverage its extended context window and multimodal capabilities without sacrificing speed or cost-efficiency. The post likely covers deployment strategies, performance optimizations, and practical applications of the model's advanced features.

Source: Together AI Blog | 2026-06-02