Minimax AI models

MiniMax-H3 is an omni-modal video generation model that produces 4-15 second clips at up to 2K resolution with native synchronized stereo audio in a single pass. It accepts a text prompt plus optional first-frame and last-frame images, and up to 9 reference images, 3 reference videos, and 3 reference audio clips, making it suited to storyboard continuation, style and subject transfer, and audio-driven performance.

MiniMax M3 is a multimodal foundation model from MiniMax, built for coding, agentic workflows, long-context reasoning, and multimodal inputs. It supports up to 1 million tokens of context through MiniMax’s Sparse Attention (MSA) architecture and is positioned as a frontier model for long-horizon tasks.

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity with self-improvement capabilities. Created on March 18, 2026, it integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments.

MiniMax-M2.7-HighSpeed is the ultra-fast variant of MiniMax's M2.7 flagship model, delivering approximately 100 tokens per second—3x faster than competitors like Claude Opus 4.6 (~33 tps) and GPT-5 (~40 tps)—while maintaining identical performance on complex tasks at a fraction of the cost.

MiniMaxAI/MiniMax-M2.5 is a 229B-parameter Mixture-of-Experts (MoE) language model with 10B active parameters per token, designed as the world's first production-level model natively optimized for agentic scenarios like coding, tool use, search, and office productivity.

MiniMax-M2.5-HighSpeed (also called the Lightning variant) is the high-throughput version of MiniMax's 229B-parameter Mixture-of-Experts (MoE) model, delivering 100 tokens/second natively—roughly 2x faster than other frontier models—while maintaining identical capabilities to the standard 50 tokens/second version.