# MiniMax M2.5

A third-generation agentic model that plans before it builds. It decomposes functions, structure, and UI design before writing implementation code.

- **Model ID:** `minimax/minimax-m2.5`
- **Type:** chat
- **Providers:** minimax, bedrock
- **Context window:** 1,000,000
- **Maximum output tokens:** 131,000
- **Pricing:** $0.3/1M input tokens, $1.2/1M output tokens
- **Canonical page:** https://vercel.com/ai-gateway/models/minimax-m2.5

## Supported parameters

Detailed capability metadata has not been reported for this model.

## Example

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

const result = streamText({
  model: 'minimax/minimax-m2.5',
  prompt: 'Why is the sky blue?'
})
```

## About

Released on February 12, 2026, MiniMax M2.5 takes a different approach to software development: it plans before it builds. The model natively breaks down functions, data structures, and UI design into a specification before generating implementation code. This reduces downstream errors and produces more coherent multi-file outputs than models that write code directly.

MiniMax M2.5 scores 80.2% on SWE-Bench Verified and 51.3% on Multi-SWE-Bench, with improvement on multi-file software engineering tasks. The model completes tasks about 37% faster than M2.1 through optimized reasoning token efficiency, using fewer intermediate steps before reaching a solution.

MiniMax M2.5 spans the full development lifecycle: system design, implementation, and code review across Web, Android, iOS, Windows, and Mac platforms. It adapts more effectively to unfamiliar codebases than earlier generations, reducing ramp-up cost when you point the model at a new repository.

## What to consider

MiniMax M2.5's native spec behavior produces structured plans that can feed downstream pipeline stages. This makes it a fit for multi-agent systems where one model plans and others execute.

## When to use

### Best For

- Full-stack feature development spanning multiple files and platforms
- Onboarding an AI agent to an unfamiliar codebase that requires exploration before coding
- Multi-agent architectures where a planning model feeds an execution model
- End-to-end project delivery from system design through code review
- Workloads that previously required many search rounds to converge on a solution

### Consider Alternatives When

- Raw inference speed is more important than planning depth (consider M2.5-highspeed)
- Your task is a simple single-file edit that doesn't benefit from upfront planning
- You need the multi-agent orchestration features introduced in M2.7

## Best for

- **Full-stack feature development:** Work spanning multiple files and platforms
- **Unfamiliar codebase onboarding:** An AI agent that requires exploration before coding
- **Multi-agent planner role:** Architectures where a planning model feeds an execution model
- **End-to-end project delivery:** Full workflows from system design through implementation and code review
- **Efficient convergence:** Workloads that previously required many search rounds to converge on a solution

## Consider alternatives

- **Raw inference speed:** Speed matters more than planning depth, so consider M2.5-highspeed
- **Simple single-file edits:** Tasks that don't benefit from upfront planning
- **Multi-agent orchestration:** You need the coordination features introduced in M2.7

## Frequently asked questions

### What does "native spec behavior" mean in MiniMax M2.5?

MiniMax M2.5 automatically produces a structured breakdown of functions, data structures, and UI components before writing code. This specification phase reduces implementation errors and improves coherence across multi-file outputs.

### How does MiniMax M2.5 handle unfamiliar codebases?

It adapts more effectively than M2.1 and solves problems with fewer search rounds. This makes it better at navigating repositories it hasn't seen before.

### What platforms does MiniMax M2.5 support for full-stack development?

Web, Android, iOS, Windows, and Mac. The model covers the full development lifecycle across all five platforms.

### How does MiniMax M2.5 compare to M2.1 on speed?

MiniMax M2.5 completes tasks about 37% faster than M2.1 through optimized token efficiency in its reasoning process.

### What are MiniMax M2.5's SWE-Bench scores?

MiniMax M2.5 scores 80.2% on SWE-Bench Verified and 51.3% on Multi-SWE-Bench.

### Is there a faster variant of MiniMax M2.5?

Yes. Select `minimax/minimax-m2.5-highspeed` where your provider exposes it. It targets high tokens-per-second for latency-sensitive applications.

### Can MiniMax M2.5 be used in multi-agent pipelines?

Yes. Its native spec behavior and planning capabilities make it well-suited as a planner or orchestrator in multi-agent systems.

## Links

- [Model page](https://vercel.com/ai-gateway/models/minimax-m2.5)
- [AI Gateway documentation](https://vercel.com/docs/ai-gateway)
- [Provider model documentation](https://www.minimax.io/)
- [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.