MiniMax-01

MiniMax chatvision Long

API ID: minimax/minimax-01

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Input Price
$0.20
/1M tokens
Output Price
$1.10
/1M tokens

About MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context of up to 4 million tokens. The text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the “ViT-MLP-LLM” framework and is trained on top of the text model. To read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2

💰
Price Ranking
#867 lowest price among 1240 Chat models

Model Specifications

Context Length
1.0M
Max Output
1.0M
Release Date
2025-01-15
Capabilities
chat vision
Input Modalities
textimage
Output Modalities
text

Best For

  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.42
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$12.90
/month
1000 tickets/day, ~800 tokens each
Calculate Your Custom Usage

MiniMax Model Lineup

Compare all models from MiniMax to find the best fit

Model Input Output Context Capabilities
MiniMax-01 Current $0.20 $1.10 1.0M chat vision
MiniMax M3 (batch) $0.15 $0.60 524k chat reasoning tool_use
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
MiniMax M2.1 $0.27 $0.95 205k chat reasoning tool_use
View All MiniMax Models →

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🚀 Quick Start

Get started with MiniMax-01 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-01",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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