What is Minimax M2?
MiniMax-M2 is a compact, fast, and cost-effective MoE model (230 billion total parameters with 10 billion active parameters) built for elite performance in coding and agentic tasks, all while maintaining powerful general intelligence.
Problem
Users relying on bulky and expensive models not optimized for efficient coding and agentic tasks, leading to higher operational costs and slower performance.
Solution
An AI model offering compact MoE architecture (230B total parameters, 10B active) for fast, cost-effective coding and agentic task execution while maintaining general intelligence.
Customers
AI developers, engineers, and tech companies building or scaling AI-driven applications requiring efficiency and cost optimization.
Unique Features
MoE architecture balances massive parameter scale (230B) with active sparsity (10B), optimizing speed and cost without compromising general intelligence.
User Comments
Praises efficiency in agentic tasks
Cost-effective for coding applications
Compact size aids deployment
Maintains high accuracy
Suitable for real-time use cases
Traction
Launched on ProductHunt; specific metrics (e.g., revenue, users) undisclosed in provided data.
Market Size
The global generative AI market is projected to reach $66.62 billion by 2024 (Statista, 2023), driven by demand for efficient models.
