What is the context window of MiniMax M2-her by NanoGPT?

MiniMax M2-her by NanoGPT has a context window of 66K tokens. It supports up to 66K input tokens and can generate up to 2K output tokens.

What input and output types does MiniMax M2-her support?

MiniMax M2-her by NanoGPT accepts text as input and can generate text as output.

Is MiniMax M2-her by NanoGPT open source?

No, MiniMax M2-her by NanoGPT has closed weights. The model is only available through the NanoGPT API.

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MiniMax M2-her API

NanoGPT

About

MiniMax M2-her is a high-performance LLM available via the NanoGPT API, ideal for scalable text generation and natural language processing. This model delivers cost-effective pricing at $0.30/1M input and $1.21/1M output tokens. Access MiniMax M2-her via the NanoGPT API with up to 2K output tokens.

Capabilities

Input Modalities

text

Output Modalities

text

Reasoning

Structured Output

Tool Use

WeightsClosed

Temperature

Fixed

Attachment

Not Supported

Limits

Context Window

66K

Tokens

Input Limit

66K

Tokens

Max Output

Tokens

Pricing

Standard (per 1M tokens)

Input

$0.30

Output

$1.21

Frequently Asked Questions

MiniMax M2-her by NanoGPT costs $0.30 per 1M input tokens and $1.21 per 1M output tokens.

Model Details

minimax/minimax-m2-her

Provider

NanoGPT

Family

minimax

Release Date

Jan 24, 2026

Knowledge Cutoff

N/A

API Integration

NPM Package

@ai-sdk/openai-compatible

Environment Variables

NANO_GPT_API_KEY

API Base URL

https://nano-gpt.com/api/v1

Documentation