MiniMax M3 Multimodal Model
Stronger capabilities · faster and more efficient · unlimited creation
Try It NowKey Features of MiniMax M3
Reasoning capability
Supports multi-turn logical reasoning and complex problem analysis, allowing structured inference and judgment from multi-step, complex inputs.
Ultra-long context
Supports million-level context, handling ultra-long text, code, and multi-turn dialogue with complete context understanding and linking.
Native multimodal
Supports unified input and understanding of text, images, and video, enabling cross-modal information fusion and scene awareness.
Code & agents
Provides code generation, debugging, and engineering ability, supporting step-by-step task validation and agent execution.
Omni-capable model
Offers unified, integrated information processing and generation across language, image, and multimodal capabilities.
Built for Diverse Content Creation

Code Development
Supports code understanding and generation, handling bug fixes, performance optimization, and engineering collaboration tasks.

Document Processing
Supports long-text and complex document parsing, enabling information extraction, comparative analysis, and content summarization.

Research Analysis
Supports academic and professional content understanding, enabling paper interpretation, experiment analysis, and structured reasoning.

Enterprise Office
Supports business information understanding and processing, enabling workflow management, task automation, and knowledge organization.

Content Creation
Supports text generation and creative expression, enabling short drama and comic script writing, copywriting, and asset analysis.
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FAQs
The trio is agent/code ability, 1M-context window, and native multimodal support. M3 is the first open model in China to combine all three.
It can read very long docs or large codebases in one shot and keep full context for long-agent tasks.
Normal models fuse text and vision later; M3 trains text, image, and video together from the start, so it understands rich context, not just image labels.
It focuses on high compute efficiency, delivering strong reasoning and dual-mode response at lower cost.
Very strong — top in benchmarks, able to generate real code, follow dev workflows, and handle complex engineering tasks like CUDA optimization.
Yes — it can output tables, step-by-step explanations, code blocks, and analysis results.
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