MiniMax M2.1

Name: MiniMax M2.1
Author: MiniMax

MiniMax

MiniMax M2.1 is an updated version of the M2 language model with improved reasoning, coding, and instruction following. It supports multimodal inputs and delivers strong performance across general knowledge, mathematics, and programming benchmarks.

Key Specifications

Parameters

Context

1.0M

Release Date

December 22, 2025

Average Score

87.9%

API Documentation Model Weights Results Blog

Timeline

Key dates in the model's history

Announcement

December 22, 2025

Last Update

January 29, 2026

Today

March 25, 2026

Technical Specifications

Parameters

Training Tokens

Knowledge Cutoff

Family

Capabilities

MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)

$0.30

Output (per 1M tokens)

$1.20

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

Accuracy • Self-reported

81.0%

Other Tests

Specialized benchmarks

VIBE Web

Standard evaluation • Self-reported

92.0%

VIBE Android

Android- • Self-reported

90.0%

VIBE

Web, Simulation, Android, iOS, Backend • Self-reported

89.0%

MMLU-Pro

Accuracy • Self-reported

88.0%

VIBE iOS

iOS- • Self-reported

88.0%

VIBE Simulation

Standard evaluation • Self-reported

87.0%

License & Metadata

License

mit

Announcement Date

December 22, 2025

Last Updated

January 29, 2026

Compare MiniMax M2.1

All comparisons

vs MiniMax M2.5 vs MiniMax M2.7 vs Claude Opus 4.5 vs Grok-3 Mini vs Mistral Large 2 vs GPT-5.1 Instant vs GPT-5 Medium vs Nemotron 3 Super (120B A12B)

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