PriceIndex
MI

MiniMax M2-her

minimax-m2-her

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message... Built by MiniMax.

Prices updated

Input price

$0.30

per 1M tokens · Standard

Output price

$1.20

per 1M tokens · Standard

Input limit

66K

tokens

Output limit

2K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
Compare

MiniMax M2-her price history

2 price records since 9/25/2026

MiniMax M2-her cost calculator

Input20M tokens
Output5M tokens

$12/month

Standard pricing

    Overview

    What is MiniMax M2-her?

    MiniMax M2-her is a text & reasoning model from MiniMax. MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message... Its 66K context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.

    Content workflowsClassification

    Rates

    MiniMax M2-her pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.30

    Per 1M tokens

    Cached input · Standard

    $0.03

    Per 1M tokens

    Capabilities

    MiniMax M2-her Tools

    Tools available when using MiniMax M2-her through supported provider APIs.

    Function calling

    Not supported

    Structured outputs

    Not supported

    JSON mode

    Not supported

    Reasoning

    Not supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Not supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.30 per million tokens suits high-volume workloads.
    • A 66K context window covers most focused application workflows.
    • Supports text & reasoning workloads in one model.

    Limitations

    • Generated tokens cost 4× more than input tokens, which matters for verbose responses.
    • The 66K context window is smaller than several long-context alternatives.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about MiniMax M2-her

    MiniMax M2-her is a text & reasoning model from MiniMax. MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...