MiniMax M2-her

API ID: minimax/minimax-m2-her-20260123

Input Price
$0.30
/1M tokens
Output Price
$1.20
/1M tokens
Cached Input
$0.03
Save 90%

About 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 roles (user_system, group, sample_message_user, sample_message_ai) and can learn from example dialogue to better match the style and pacing of your scenario, making it a strong choice for storytelling, companions, and conversational experiences where natural flow and vivid interaction matter most.

๐Ÿ’ฐ
Price Ranking
#888 lowest price among 1240 Chat models

Model Specifications

Context Length
66k
Max Output
2k
Release Date
2026-01-23
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.49
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$15.30
/month
1000 tickets/day, ~800 tokens each

MiniMax Model Lineup

Compare all models from MiniMax to find the best fit

Model Input Output Context Capabilities
MiniMax M2-her Current $0.30 $1.20 66k chat
MiniMax M3 (batch) $0.15 $0.60 524k chat reasoning tool_use
MiniMax-01 $0.20 $1.10 1.0M chat vision
MiniMax M2.7 $0.24 $0.96 205k chat reasoning tool_use
MiniMax M2 $0.26 $1.00 205k chat reasoning tool_use
MiniMax M2 $0.26 $1.02 205k chat reasoning tool_use

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๐Ÿš€ Quick Start

Get started with MiniMax M2-her API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="minimax/minimax-m2-her-20260123",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)