MiniMax M2-her

MiniMax chattool_use

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

Input Price
$0.30
/1M tokens
Output Price
$1.20
/1M tokens

About MiniMax M2-her

MiniMax 01 is MiniMax's flagship language model, delivering strong performance across reasoning, coding, and creative tasks. The model features competitive capability with efficient architecture, enabling practical deployment. MiniMax 01 excels at general conversation, content generation, and analysis tasks. It demonstrates good performance on major benchmarks and supports various enterprise use cases. The model is particularly valuable for applications serving Chinese-speaking markets. For organizations seeking capable AI from a leading Chinese AI company, MiniMax 01 offers reliable performance. It's well-suited for chatbots, content platforms, and business automation.

๐Ÿ’ฐ
Price Ranking
#775 lowest price among 950 Chat models

Model Specifications

Context Length
66k
Max Output
2k
Release Date
2026-01-23
Capabilities
chat tool_use
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 tool_use
MiniMax-01 $0.20 $1.10 1.0M chat vision tool_use
MiniMax M2 $0.26 $1.00 197k chat reasoning tool_use
MiniMax M2.1 $0.27 $0.95 197k chat reasoning tool_use
MiniMax M2.5 $0.27 $0.95 197k chat reasoning tool_use
MiniMax M1 $0.40 $2.20 1.0M 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)