Jun 5
Explore the technical engineering behind MiniMax M3, a novel model engineered for heavy R&D automation. Learn how the proprietary MiniMax Sparse Attention (MSA) architecture efficiently supports an expansive context window containing 1-M tokens at a fraction of traditional compute costs. Dive deep into empirical data demonstrating how MiniMax outperformed GPT-5.5 and Gemini 3.1 Pro on the rigorous SWE-Bench Pro test. See how it allows different types of tokens—including text, image, speech, and music—to be combined into a single unified allocation pool for streamlined enterprise operations. Learn More!