MiniMax M3.1 Flash Gets Day-0 vLLM Support
Day-0 vLLM support means teams can self-host the new MiniMax model immediately without waiting for community adapters, and NVFP4 quantisation cuts serving cost for inference-heavy agent workloads. Developers running coding or automation agents on their own infrastructure should evaluate it against comparable open serving stacks. MiniMax is a China-based lab, relevant to readers tracking Chinese open models.
MiniMax released M3.1 Flash, and the vLLM project added Day-0 support for serving it. The model targets multi-step automation, real-codebase engineering and visual reasoning. The vLLM serving stack ships native NVFP4 KV cache, NVFP4 MoE weights and DSpark speculative decoding for the model. A link to the model was shared in the announcement thread.
🎉 MiniMax M3.1 Flash from @MiniMax_AI has Day-0 support in vLLM!
Built for multi-step automation, real-codebase engineering and visual reasoning—with native NVFP4 KV, NVFP4 MoE weights and DSpark speculative decoding in the serving stack.
What the model can do, and the vLLM engineering that makes it practical to serve. 👇
Model: https://t.co/M67ZM3a2EA
1/5 https://t.co/Q8AtJ61qTB
