The abab7-preview model, produced by MiniMax, is an API model that shows significant improvements over the abab6.5 series in capabilities such as handling long texts, mathematics, and writing.
MiniMax-M2.7MiniMax-M2.7 is MiniMax’s new-generation general-purpose large model. By building an Agent Harness system, it deeply participates in its own training and optimization process, can take on 30%–50% of the workload in some R&D scenarios, and achieves about a 30% improvement on internal evaluation benchmarks.
MiniMax-M2.1The latest flagship model released by Minimax features excellent general capabilities, advanced programming capabilities, powerful agent performance, and efficient architecture design.
MiniMax-M2The latest flagship model released by Minimax features excellent general capabilities, advanced programming capabilities, powerful agent performance, and efficient architecture design.
MiniMax-Text-01MiniMax-Text-01 is a powerful language model with 456 billion total parameters, of which 45.9 billion are activated per token. To better unlock the long context capabilities of the model, MiniMax-Text-01 adopts a hybrid architecture that combines Lightning Attention, Softmax Attention and Mixture-of-Experts (MoE).
MiniMax-M1-80kThe world's first open-weight, large-scale hybrid-attention reasoning model released by Minimax
Relevant documents
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