MiniMax M3

MiniMax chatreasoningtool_usevideovision Long

API ID: minimax/minimax-m3-20260531

Compare Calculate
Input Price
$0.30
/1M tokens
Output Price
$1.20
/1M tokens
Cached Input
$0.06
Save 80%

About MiniMax M3

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
#888 lowest price among 1240 Chat models

Model Specifications

Context Length
1.0M
Max Output
66k
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
$0.49
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$15.30
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$21.15
/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 Current Free Free 1.0M chat reasoning tool_use video vision
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
View All MiniMax Models →

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💡 Cheaper Alternatives

Same Brand (MiniMax)

MiniMax M3 (batch)
$0.15 $0.60 524k
MiniMax M2.7
$0.24 $0.96 205k
MiniMax M2.1
$0.27 $0.95 205k

Cross Brand

GTE-Base Other
$0.0050 Free 512
E5-Base-v2 Other
$0.0050 Free 512
paraphrase-MiniLM-L6-v2 Other
$0.0050 Free 512

🚀 Quick Start

Get started with MiniMax M3 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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