MiniMax has released the open weights for its M3.1 Flash model, a multimodal mixture-of-experts architecture with 428 billion total parameters and a 1 million token context window. The model utilizes MiniMax Sparse Attention to efficiently handle long contexts by only attending to relevant blocks of past keys. Alongside the weights, vLLM has provided day-zero support with optimized kernels for NVIDIA Blackwell, Rubin, and AMD MI350 hardware, significantly improving serving efficiency and concurrency. AI
IMPACT Accelerates deployment of advanced multimodal models by providing open weights and optimized serving kernels for multiple hardware platforms.
RANK_REASON Open weights release for a new frontier model from MiniMax, a major AI lab. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
- AMD MI350
- BankerToolBench
- DeepSWE v1.1
- DSpark
- Hugging Face
- M3.1 Flash
- M3 MXFP8
- MiniMax
- MiniMax Sparse Attention
- NVFP4
- Nvidia Blackwell
- vLLM
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