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MiniMax-M2.1 is an open-source, state-of-the-art agentic language model released to democratize high-performance AI capabilities. It goes beyond a simple parameter upgrade, delivering major gains in coding, tool use, instruction following, and long-horizon planning. The model is designed to be transparent, controllable, and accessible, enabling developers to build autonomous systems without relying on closed platforms. MiniMax-M2.1 excels in real-world software engineering tasks, including multilingual development and complex workflow automation. It demonstrates strong generalization across agent frameworks and consistently improves upon its predecessor, MiniMax-M2. Benchmarks show that it rivals or approaches top proprietary models while remaining fully open for local deployment and customization.
Features
- Open-source model weights enabling full transparency, local deployment, and customization
- Optimized for advanced agentic tasks such as coding, tool calling, and long-horizon planning
- Strong multilingual performance that competes with leading proprietary AI models
- Proven robustness across multiple coding agent frameworks and evaluation benchmarks
- Full-stack application development capabilities validated through the VIBE benchmark
- Available via API, MiniMax Agent, and popular inference frameworks like vLLM and Transformers
Project Samples
