Reasoning Tools Open weights

MiniMax multimodal model for long-context coding, perception, and agent planning

minimax/MiniMax-M3 2026-06-01 1.04858M context $0.3/M input $1.2/M output
37 providers
Reasoning Tools Open weights

Open MiniMax flagship for coding agents, office automation, and complex environments

minimax/MiniMax-M2.7 2026-03-18 204.8K context $0.3/M input $1.2/M output
35 providers
Reasoning Tools Open weights

Prior MiniMax coding model for agent workflows, office edits, and automation

minimax/MiniMax-M2.5 2026-02-12 204.8K context $0.3/M input $1.2/M output
34 providers
Reasoning Tools Open weights

Earlier MiniMax agent model for practical coding and productivity tasks

minimax/MiniMax-M2.1 2025-12-23 204.8K context $0.3/M input $1.2/M output
15 providers
Reasoning Tools Open weights

Efficient open MiniMax model built for coding agents and tool-heavy workflows

minimax/MiniMax-M2 2025-10-27 204.8K context $0.3/M input $1.2/M output
13 providers

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

minimax/minimax-m3:batch 524.288K context $0.3/M input $1.2/M output

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

minimax/minimax-m3:free 1.04858M context Free input Free output

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

minimax/minimax-m2.7 204.8K context $0.3/M input $1.2/M output

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...

minimax/minimax-m2.1 204.8K context $0.3/M input $1.2/M output

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

minimax/minimax-m2 204.8K context $0.255/M input $1.02/M output

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...

minimax/minimax-m2.5 200K context $0.27/M input $1.08/M output

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

minimax/minimax-m3 524.288K context $0.3/M input $1.2/M output

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

minimax/minimax-m2.7:free 196.608K context Free input Free output