# MiniMax M2.7

MiniMax's high-capability agentic release, built for production workflows that require coordinating multiple agents, orchestrating complex tool chains, and delivering end-to-end software projects.

- **Model ID:** `minimax/minimax-m2.7`
- **Type:** chat
- **Providers:** minimax, novita, gmicloud
- **Context window:** 204,800
- **Maximum output tokens:** 196,608
- **Pricing:** $0.21/1M input tokens, $0.84/1M output tokens
- **Canonical page:** https://vercel.com/ai-gateway/models/minimax-m2.7

## Supported parameters

Detailed capability metadata has not been reported for this model.

## Example

```ts
import { streamText } from 'ai'

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

## About

Released on March 18, 2026, MiniMax M2.7 introduces native support for multi-agent collaboration and complex skill orchestration. Where earlier generations focused on single-agent task completion, MiniMax M2.7 coordinates across agent networks, passing context, managing handoffs, and tracking dependencies between parallel workstreams.

The model also introduces dynamic tool search, letting agents discover and invoke relevant tools at runtime rather than relying on a pre-specified list. This expands the model's effective action space and makes it more adaptable to novel task types during long-horizon workflows.

Beyond software engineering, MiniMax M2.7 handles professional office tasks. This makes it suitable for enterprise automation spanning document processing, financial modeling, and multi-system data workflows alongside its coding capabilities.

## What to consider

For teams building multi-agent systems, MiniMax M2.7's native collaboration capabilities reduce the custom orchestration code you need to coordinate agents.

## When to use

### Best For

- Multi-agent systems requiring native agent-to-agent coordination
- Production debugging workflows spanning multiple files, services, or repositories
- End-to-end project delivery from specification through deployment
- Enterprise workflows combining software engineering with office automation
- Pipelines that need dynamic tool discovery rather than fixed tool lists

### Consider Alternatives When

- Your workload is purely single-agent and doesn't benefit from orchestration features
- Response latency is critical (consider M2.7-highspeed)
- Earlier M2 generations cover your requirements at lower cost

## Best for

- **Multi-agent systems:** Native agent-to-agent coordination without custom middleware
- **Production debugging workflows:** Investigation spanning multiple files, services, or repositories
- **End-to-end project delivery:** Full workflows from specification through implementation and deployment
- **Enterprise office automation:** Workflows combining software engineering with document and data processing
- **Dynamic tool discovery:** Pipelines that need runtime tool selection rather than fixed tool lists

## Consider alternatives

- **Single-agent workload:** Your workflow doesn't benefit from orchestration features
- **Critical response latency:** Latency-sensitive interactive use where M2.7-highspeed is a better fit
- **Lower cost sufficient:** Earlier M2 generations cover your requirements at lower cost

## 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.

## Links

- [Model page](https://vercel.com/ai-gateway/models/minimax-m2.7)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://www.minimax.io/news/minimax-m27-en)
- [Provider pricing](https://platform.minimax.io/docs/guides/pricing-paygo)


If you encounter incorrect information, can’t find what you need, need a capability Vercel doesn’t currently offer, or have any other feedback to report, please do it by following the instructions at https://vercel.com/feedback.md.