MiniMax-M2.5
MiniMax-M2.5 is a frontier AI model that achieves state-of-the-art performance in coding, tool use, and office work while offering unprecedented cost efficiency at just 1/10th to 1/20th the price of comparable models.
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Product Information
Updated:Feb 28, 2026
What is MiniMax-M2.5
Released in February 2026, MiniMax-M2.5 is an advanced language model that builds upon the M2 family architecture, featuring 230 billion total parameters with 10 billion active parameters per forward pass. The model has achieved impressive benchmark scores, including 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, placing it in direct competition with leading models like Claude Opus 4.6. It comes in two variants: a standard version running at 50 tokens per second and a Lightning variant at 100 tokens per second, both designed to make high-end AI capabilities accessible at dramatically reduced costs.
Key Features of MiniMax-M2.5
MiniMax-M2.5 is a state-of-the-art AI model released in February 2026 that excels in coding, agentic tool use, and office work. It features extensive reinforcement learning across 200,000+ real-world environments, achieves 80.2% on SWE-Bench Verified, and operates at high speed (100 tokens/second) while maintaining remarkably low costs ($1/hour at max speed). The model supports a 204,800 token context window and can handle complex tasks across multiple platforms and programming languages.
Advanced Reinforcement Learning: Trained across 200,000+ real environments including code repositories, browsers, and office applications using proprietary Forge RL framework
Cost-Efficient Performance: Delivers performance comparable to top models like Claude Opus 4.6 at 1/10th to 1/20th the cost, with rates as low as $0.30 per hour at 50 tokens/second
Comprehensive Programming Support: Supports 10+ programming languages and handles full development lifecycle from system design to testing across multiple platforms (Web, Android, iOS, Windows)
Office Skills Integration: Specialized in office tasks with built-in skills for Word formatting, PowerPoint editing, and Excel financial modeling, developed with input from industry professionals
Use Cases of MiniMax-M2.5
Software Development: Complete software development lifecycle management including system design, coding, testing, and review across multiple platforms and languages
Financial Analysis: Creating complex financial models and interconnected spreadsheets in Excel, following specific risk control logic and calculation standards
Research and Documentation: Conducting industry research, organizing analytical logic, and automatically generating properly formatted research reports following established frameworks
Office Automation: Handling various office tasks including document formatting, presentation creation, and spreadsheet manipulation with professional-grade output
Pros
Extremely cost-effective compared to competitors
High processing speed (up to 100 tokens per second)
Comprehensive support for multiple programming languages and platforms
Strong performance in real-world office tasks
Cons
Some users report inconsistent code quality compared to other models
Limited independent verification of benchmark results
Requires specific environment variable configuration for different regions
How to Use MiniMax-M2.5
Choose Access Method: You have three main options to access MiniMax-M2.5: API, MiniMax Agent platform, or self-hosted deployment
API Access Setup: Visit https://platform.minimax.io/docs/api-reference/text-anthropic-api to get API access. Set base URL to https://api.minimax.io/v1 for international users or https://api.minimaxi.com/v1 for users in China
Get API Key: Sign up on MiniMax Developer Platform to obtain your API key. The platform offers generous introductory credits for new users
Configure Model Parameters: Use recommended parameters: temperature=1.0, top_p=0.95, top_k=40 for optimal performance
Choose Model Version: Select between standard M2.5 (50 tokens/second at $0.30/hour) or M2.5-Lightning (100 tokens/second at $1/hour)
MiniMax Agent Setup (Alternative Method): Visit https://agent.minimax.io to access the general-purpose Agent product powered by M2.5, which is free for a limited time
Self-Hosted Setup (Alternative Method): Access open weights on Hugging Face under modified MIT License. Model requires 457GB for unquantized bf16 version or 101GB for 3-bit GGUF version
Configure Environment: For local deployment, use vllm serve command with appropriate parameters including tensor-parallel-size and tool-call-parser settings
MAX Mode Configuration (Optional): Enable MAX mode when handling office tasks to automatically load corresponding Office Skills based on file type (Word, PowerPoint, Excel)
MiniMax-M2.5 FAQs
MiniMax-M2.5 achieved 80.2% in SWE-Bench Verified, 51.3% in Multi-SWE-Bench, and 76.3% in BrowseComp. It performs on par with Claude Opus 4.6 and shows SOTA performance in coding, agentic tool use, search, and office work tasks.
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