MiniMax Text-01

About

MiniMax Text-01 is MiniMax's flagship large language model featuring 456 billion total parameters with Mixture-of-Experts architecture and an unprecedented 4 million token context window — the largest of any known AI model by a significant margin. This 4M context window represents a step change in what's possible with AI: you could feed it the entire Harry Potter series, hundreds of research papers, an entire company's internal documentation, or millions of lines of code in a single request and get comprehensive analysis without any loss of context. While competitors are pushing toward 1M or 2M tokens, MiniMax Text-01 achieves 4M, doubling what was previously thought possible. The MoE architecture with 456B total parameters ensures the model has the capacity to meaningfully use this context. Text-01 demonstrates competitive performance on standard benchmarks while offering unique capabilities for long-context applications that no other model can match. Available through MiniMax's API platform at competitive pricing (approximately USD 0.25 per 1M tokens) with enterprise options for dedicated deployment. For researchers processing massive document archives, legal teams reviewing entire case histories, companies analyzing their full codebase in one pass, and any organization dealing with extremely long documents, MiniMax Text-01 offers capabilities that simply don't exist in any other model. The main limitations are primarily Chinese-market focus, smaller ecosystem compared to Western models, and text-only operation without multimodal capabilities. For applications requiring extreme context handling — academic research, legal document analysis, historical archive processing, comprehensive codebase analysis — MiniMax Text-01 is uniquely capable. Its 4M token context window is 2-4x larger than the nearest competitor.

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