Learn everything about MiniMax-M2 – the new open AI model from the Chinese startup MiniMax, which outperforms GPT-5, Claude 4.5, and Gemini 2.5 in 2025 benchmarks. Full review with features, pricing, comparisons, API, and usage examples. Download MiniMax M2 for free and boost your development efficiency right now.
MiniMax M2 Review 2025: What Is This Model and Why It’s Changing the Game
MiniMax-M2 is a revolutionary open large language model (LLM) based on Transformer with a Mixture-of-Experts (MoE) architecture. Developed by the Chinese company MiniMax and released on October 27, 2025. With a total of 230 billion parameters but only 10 billion active, it’s optimized for high speed and low cost.
This model is ideal for agents, coding, web development, research, and task automation. If you’re searching for “MiniMax M2 news 2025” or “best open AI model for agents,” this is exactly what you need. It doesn’t just compete with proprietary models – it surpasses them, offering an MIT license for commercial use, fine-tuning, and customization. Imagine: you save thousands of dollars on API, and your team works twice as fast. Don’t miss the chance to become an AI pioneer – many developers already regret not switching sooner.
Features: Speed, Intelligence, and Efficiency
The key features of MiniMax-M2 make it a leader among open LLMs in 2025. The MoE architecture delivers elite performance with minimal resources: speed twice that of Claude Sonnet, and cost just 8% of analogs. API pricing: $0.3 per million input tokens and $1.2 per million output tokens. Supports multi-step agents, tool calls, multi-file code editing, automatic testing, and bug fixes. Benchmarks show: #1 spot in the Artificial Analysis Intelligence Index among open models, with results on par with GPT-5. If you’re googling “MiniMax M2 features” or “MiniMax M2 performance,” here’s a table of key metrics:
This model hits the weak spot: developers’ fear of wasting budget on expensive APIs when you can get top-tier intelligence for free. Switch to MiniMax M2 – and your projects will speed up, while competitors lag behind.
Comparison: How It Outperforms GPT-5, Claude, and Other Models
In 2025, MiniMax-M2 leads in benchmarks for agents and coding. According to the Artificial Analysis Index, it outperforms Claude 4.5 Sonnet (63%), Gemini 2.5 Pro (60%), and even GPT-5 in tasks like multi-file code edits and regression repairs. If you’re searching for “MiniMax M2 vs GPT-5” or “MiniMax M2 comparison with Claude,” here’s why it wins: open source allows customization, unlike closed models; speed and price make it ideal for startups; focus on agents (web search, tool calling) solves real problems like workflow automation. Users on Reddit note: “M2 plans tasks better, reads files, and edits step by step.” Don’t waste time on outdated models – MiniMax M2 will make your development more efficient and cheaper.
How to Use: API, Integration, and Examples
To get started with MiniMax, download the model from GitHub (free under MIT) or use the API through platforms like Fireworks AI, OpenRouter, or CometAPI. If you’re googling “MiniMax M2 API” or “MiniMax M2 download,” here are the steps: 1. Register on minimax.io; 2. Integrate into VS Code, Claude Code, or Cursor; 3. Use for agents: example – code automation with tool calling. Embed a YouTube video (e.g., “MiniMax M2 First Look & Testing”) for visualization. For prompt optimization, apply techniques like chain-of-thought – the model excels in multi-step tasks. Developers note: “Twice as fast and 8% the price of Claude – perfect for budget projects.” Links to related articles: AI agents overview, how to set up MoE models.
Advantages: For Developers, Startups, and Businesses
MiniMax-M2 hits the psychology: the fear of missing out on the 2025 AI breakthrough. It’s not just powerful but accessible – save on API and accelerate development. Use lists for readability:
- High accuracy in coding (95% in tests).
- Support for multilingual and expressive speech.
- Integration with tools like vLLM for local deployment. Embed infographics or podcasts about “MiniMax M2 vs M1 upgrades” to boost engagement. This will increase time on page – a key ranking factor in Google and Bing.
FAQ on MiniMax-M2 What is MiniMax-M2? An open MoE AI model for agents and coding, released in 2025.
How much does MiniMax M2 cost? API: $0.3/million input, $1.2/million output – cheaper than analogs. Download is free.
Where to download MiniMax M2? On GitHub or through Hugging Face.
Is MiniMax M2 better than GPT-5? Yes, in agents and coding – faster and cheaper per benchmarks.
How to integrate MiniMax M2 into a project? Via API or locally with vLLM – examples in the documentation.
This guide to MiniMax-M2 will help you master the top open AI model of 2025, boost efficiency, and outpace competitors in Google, Bing, and DuckDuckGo. Use keywords like “MiniMax M2 review,” “MiniMax M2 price 2025,” and multimedia for maximum traffic.
FAQ: Common Questions About This Open AI Model
What is MiniMax-M2? An MoE-based open AI for agents and coding, debuted in 2025.
What’s the cost? API: $0.3/million input, $1.2/million output—far below competitors. Free downloads available.
Where to get it? GitHub or Hugging Face repositories.
Does it outperform GPT-5? Yes, especially in agents and coding—quicker and more affordable per tests.
How to integrate it? Use API or local vLLM; docs provide examples.
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