Minimax M2
What is MiniMax-M2?
MiniMax-M2 is a powerful, open-source model designed for advanced coding and agentic workflows. It is built to deliver elite performance in coding tasks while maintaining strong general intelligence. With a compact and efficient design, MiniMax-M2 is optimized for speed, cost-effectiveness, and ease of deployment.
Benefits
MiniMax-M2 offers several key advantages:
- Superior Intelligence: According to benchmarks from Artificial Analysis, MiniMax-M2 demonstrates highly competitive general intelligence across mathematics, science, instruction following, coding, and agentic tool use. Its composite score ranks #1 among open-source models globally.
- Advanced Coding: Engineered for end-to-end developer workflows, MiniMax-M2 excels at multi-file edits, coding-run-fix loops, and test-validated repairs. It performs strongly on Terminal-Bench and (Multi-)SWE-Bench-style tasks, making it practical for use in terminals, IDEs, and CI across various languages.
- Agent Performance: MiniMax-M2 plans and executes complex, long-horizon toolchains across shell, browser, retrieval, and code runners. It consistently locates hard-to-surface sources, maintains evidence traceable, and gracefully recovers from flaky steps.
- Efficient Design: With 10 billion activated parameters (230 billion in total), MiniMax-M2 delivers lower latency, lower cost, and higher throughput for interactive agents and batched sampling. This makes it perfectly aligned with the shift toward highly deployable models that still shine on coding and agentic tasks.
Use Cases
MiniMax-M2 is versatile and can be used in various scenarios:
- Developer Workflows: Ideal for developers needing advanced coding assistance, including multi-file edits, coding-run-fix loops, and test-validated repairs.
- Agentic Tasks: Suitable for planning and executing complex toolchains across different environments like shell, browser, retrieval, and code runners.
- Efficient Deployment: Its compact and efficient design makes it easy to deploy and scale, reducing compute overhead and improving responsiveness.
Pricing
MiniMax-M2 is currently available for free for a limited time. Users can access the MiniMax Agent and the MiniMax-M2 API on the MiniMax Open Platform without any cost during this period. The model weights are also open-source, allowing for local deployment and use.
Vibes
MiniMax-M2 has received positive feedback from the community. Users appreciate its advanced coding capabilities, efficient design, and strong performance in agentic tasks. The model's ability to handle complex workflows and its ease of deployment have been particularly highlighted.
Additional Information
MiniMax-M2 is part of the MiniMax-AI project, which focuses on building models for advanced coding and agentic workflows. The project is open-source, and the community is encouraged to contribute and collaborate. For more information, users can visit the MiniMax-AI GitHub repository or contact the team directly.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
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