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MiniMax M2

MiniMax

MiniMax M2 is a large language model by MiniMax, designed for versatile performance across reasoning, coding, mathematics, and conversation. It supports multimodal inputs and features a large context window, making it suitable for complex analytical and creative tasks.

Key Specifications

Parameters
230.0B
Context
1.0M
Release Date
October 26, 2025
Average Score
79.6%
API DocumentationRepositoryModel WeightsResults Blog

Timeline

Key dates in the model's history
Announcement / Last Update
October 26, 2025
Today
March 25, 2026

Technical Specifications

Parameters
230.0B
Training Tokens
-
Knowledge Cutoff
-
Family
-
Capabilities
MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)
$1.00
Output (per 1M tokens)
$4.00
Max Input Tokens
1.0M
Max Output Tokens
100.0K
Supported Features
Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Reasoning

Logical reasoning and analysis
GPQA
Diamond subset • Self-reported
78.0%

Other Tests

Specialized benchmarks
LiveCodeBench
• Self-reported
83.0%
MMLU-Pro
• Self-reported
82.0%
AIME 2025
• Self-reported
78.0%
Tau-bench
• Self-reported
77.0%

License & Metadata

License
mit
Announcement Date
October 26, 2025
Last Updated
October 26, 2025

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