MiniMax-M2.1, developed by MiniMax, is an instruction-tuned language model specifically optimized for robust agentic capabilities. It excels in coding, tool use, instruction following, and long-horizon planning, particularly in multilingual software development and complex multi-step office workflows. The model demonstrates significant performance improvements over its predecessor, MiniMax-M2, across various software engineering and agent benchmarks, including a novel VIBE benchmark for full-stack application development.
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MiniMax-M2.1 Overview
MiniMax-M2.1 is an advanced instruction-tuned language model from MiniMax, designed to empower developers with top-tier agentic capabilities. This release focuses on democratizing access to high-performance agents, emphasizing transparency, control, and accessibility for building autonomous applications.
Key Capabilities & Differentiators
- Robust Agentic Performance: Optimized for coding, tool use, instruction following, and long-horizon planning.
- Multilingual Software Development: Shows strong performance in multilingual coding scenarios, outperforming Claude Sonnet 4.5 and approaching Claude Opus 4.5 on benchmarks like Multi-SWE-bench and SWE-bench Multilingual.
- Full-Stack Application Development: Achieves an average score of 88.6 on the novel VIBE (Visual & Interactive Benchmark for Execution in Application Development), demonstrating strong capabilities in building complete, functional applications.
- Comprehensive Coding Benchmarks: Delivers significant improvements over MiniMax-M2 across various software engineering leaderboards, including SWE-bench Verified, Terminal-bench 2.0, SWT-bench, and OctoCodingbench.
- Tool Use and General Intelligence: Shows steady improvements in long-horizon tool use (Toolathlon, BrowseComp) and comprehensive intelligence metrics (AIME25, MMLU-Pro, GPQA-D).
Ideal Use Cases
- Automating multilingual software development tasks.
- Executing complex, multi-step office workflows.
- Developing autonomous applications requiring robust agentic behavior.
- Scenarios demanding strong performance in code generation, optimization, and review.