what is minimax?
AI Models & Capabilities
MiniMax is a Chinese artificial intelligence startup and lab that develops large language models focused on cost-effective, productivity-oriented AI solutions [2][4]. The company has released models like M2.5, which emphasizes coding, tool use, and action-oriented workflows, matching leading models on benchmarks but at lower costs ($1.20 to $2.40 per million output tokens), enabling widespread adoption of agentic tools [1][2][3]. Internally, M2.5 handles 30% of daily tasks and 80% of new code commits, while newer models like the proprietary M2.7 are self-evolving and support reinforcement learning workflows [2][5]. MiniMax aims to expand globally as an AI platform, integrating AI into daily work as a "bestie" for complex tasks [4][6].
Sources
- MiniMax M2.5 Introduces Cost-Effective AI Solution — Daily AI News
- MiniMax's M2.5 Offers Low-Cost Frontier AI Coding — The Rundown
- MiniMax M2.5 Flips AI Unit Economics — GAI Insights
- China's Minimax reports strong revenue growth, charts broader AI ambitions — Reuters
- New MiniMax M2.7 Proprietary AI Model — VentureBeat
- China’s MiniMax Wants AI to Be Your New Work ‘Bestie’ — feeds
- Xiaomi's New MiMo-V2-Pro LLM — Daily AI News
- AI Daily News Rundown March 19 2026: Vibe Design, Rogue Agents, and the $50B Cloud War: Microsoft vs. Amazon — Substack
- Xiaomi Stuns with New MiMo-V2-Pro LLM — VentureBeat
- MatX: $500 Million Series B Raised To Accelerate MatX One LLM Chip Development — pulse2
- PMAx: An Agentic Framework for AI-Driven Process Mining — arXiv
- NVIDIA Nemotron 3 Super Boosts Agentic AI Throughput — Daily AI News March 12, 2026
Related questions
- →What is retrieval-augmented generation (RAG), and why is it important for enterprise AI deployment?
- →How should non-technical executives evaluate and compare AI model performance benchmarks?
- →What is multimodal AI, and why does it matter for practical business applications?
- →How quickly are AI capabilities improving, and is there credible evidence that the pace of progress is slowing?