Description
MiniMax M3 is a cutting-edge AI model designed to achieve frontier-level performance in coding and agentic tasks. It features a 1M context window, powered by the proprietary MiniMax Sparse Attention (MSA) architecture, which supports up to 1M tokens with a guaranteed minimum of 512K tokens. This extensive context capability is crucial for long-range agent tasks, coding, and long-video understanding.
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The model is natively multimodal, with a data pipeline rebuilt to scale pretraining data and achieve deep alignment between textual and visual semantic spaces. This makes multimodal a core capability rather than a superficial add-on. MiniMax M3 is the first open-weight model to unite frontier coding capabilities, a million-token context, and multimodal understanding.
In performance benchmarks, M3 achieves top-tier results in coding and agentic tasks, with autonomous task decomposition, tool invocation, and multi-step reasoning capabilities. It provides a reliable foundation for AI coding assistants and automated workflows. M3's autonomous capabilities were demonstrated in tasks such as ICLR paper replication and CUDA kernel optimization, showcasing its ability to perform complex tasks without human intervention.
The model is designed for high-throughput, low-latency production environments, making it suitable for developers and researchers looking for advanced AI solutions. MiniMax M3 will soon be fully open-sourced on platforms like HuggingFace and GitHub, supporting private cluster deployment and fine-tuning.
- CategoryAI Models & LLMs
- Pricing ModelFree
- DeploymentCloud, Self-hosted
- PlatformsWeb
MiniMax M3 Highlights
1M context window
MSA architecture
Native multimodal understanding
Open-weight model
Autonomous task decomposition
Tool invocation
Multi-step reasoning
High-throughput, low-latency
Getting Started with MiniMax M3
Access model page: Visit MiniMax M3 page
Authenticate: Log in to your account
Configure: Set up API with desired parameters
Send prompts: Input tasks for processing
Fine-tune: Adjust model settings as needed
MiniMax M3's Use Cases
- AI Coding Assistants
- Automated Workflows
- Multimodal Analysis
- Long-Range Agent Tasks
- Research and Development









