MiniMax M2.5

MiniMax chatreasoningtool_use Long

API ID: minimax/minimax-m2.5-20260211

Input Price
$0.27
/1M tokens
Output Price
$0.95
/1M tokens

About MiniMax M2.5

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.

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

Model Specifications

Context Length
205k
Max Output
131k
Release Date
2026-02-12
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.41
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$12.60
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$17.47
/month
500 analyses/day, ~2k tokens each

MiniMax Model Lineup

Compare all models from MiniMax to find the best fit

Model Input Output Context Capabilities
MiniMax M2.5 Current $0.27 $0.95 205k chat reasoning tool_use
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 M2.5 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-m2.5-20260211",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)