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Minimax M2.7

Minimax M2.7 is MiniMax's high-capability agentic model targeting end-to-end software engineering: project delivery, log analysis, bug troubleshooting, and code security. It supports a context window of 204.8K tokens and a max output of 131.1K tokens per request.

ReasoningTool UseImplicit CachingFile InputVision (Image)
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'minimax/minimax-m2.7',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What is native multi-agent collaboration in Minimax M2.7?

    Minimax M2.7 operates within multi-agent networks, handling context passing, handoffs, and dependency tracking between agents without custom orchestration middleware.

  • What is dynamic tool search?

    Instead of using a fixed tool list, Minimax M2.7 discovers and invokes relevant tools at runtime based on the task at hand. This expands its adaptability during long-horizon workflows.

  • How does Minimax M2.7 differ from M2.5?

    M2.5 introduced planning-before-coding for single-agent workflows. Minimax M2.7 adds multi-agent coordination, complex skill orchestration, and dynamic tool search for production-grade distributed agent systems.

  • Does Minimax M2.7 support professional office tasks beyond coding?

    Yes. It performs well on professional office tasks including document processing and data workflows alongside software engineering.

  • Is there a speed-optimized variant of Minimax M2.7?

    Yes. minimax/minimax-m2.7-highspeed is the throughput-optimized variant at roughly double the listed input and output rates versus the standard variant.

  • How do I access Minimax M2.7 through the AI SDK?

    Set the model identifier to minimax/minimax-m2.7 in your SDK configuration.

  • Can Minimax M2.7 handle production debugging across multiple services?

    Yes. Production debugging and end-to-end project delivery are key improvements in the Minimax M2.7 generation.