MiniMax M3 (batch)

MiniMax chatreasoningtool_usevideovision Long

API ID: minimax/minimax-m3-20260531

Compare Calculate
Input Price
$0.15
/1M tokens
Output Price
$0.60
/1M tokens
Cached Input
$0.03
Save 80%

About MiniMax M3 (batch)

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

💰
Price Ranking
#780 lowest price among 1240 Chat models

Model Specifications

Context Length
524k
Max Output
—
Release Date
2026-05-31
Capabilities
chat reasoning tool_use video vision
Input Modalities
textimagevideo
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Image analysis, document understanding, visual Q&A
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Simple Q&A (cheaper models available)

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.25
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$7.65
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$10.57
/month
500 analyses/day, ~2k 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 M3 (batch) Current $0.15 $0.60 524k chat reasoning tool_use video vision
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
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 M3 (batch) 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-m3-20260531",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

Resources

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