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

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Yubo Wang, Michael Granado, Connor Li, Jue Wang, Brian Mak, Wei Gong, Hiral Jasani, Yineng Zhang, Dan Fu

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  • Together AI is the preferred cloud partner for MiniMax M3. Together AI will host the open-weights model as a developer endpoint upon its public release.
  • Our Inference and Kernel teams delivered significant engineering breakthroughs to serve M3 efficiently, including key optimizations such as a KV-Block-Major sparse attention kernel, a novel paged attention integration for MSA, highly optimized index scoring kernel and a Rust-based multimodal preprocessing gateway, resulting in 81–125% throughput improvements across different concurrency levels.
  • Serving MiniMax M3 at scale in production validates Together AI as the go-to inference platform for models that push the frontier on the hard systems problems that make real-world deployment possible.
  • MiniMax launched their latest state-of-the-art model M3 and Together AI is excited to be the preferred cloud partner, enabling MiniMax to efficiently serve M3 in production at scale. Once MiniMax M3 is released as an open weights model over the coming few days, Together AI will also host the model as an endpoint for developers directly. Behind that scale is the exceptional work of our Inference and Kernel teams, who drove deep performance optimizations and ensured production-grade reliability for a model that pushes the frontier: 1M-token context window, native multimodality, and an architecture that demands serious engineering to serve efficiently. In this post, we'll walk through how we made it happen. Congratulations to the MiniMax team on a landmark model launch and continued innovation.

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