Models

MiniMax-M2

MiniMax-M2 is a multimodal large language model developed by MiniMax, designed for strong performance in reasoning, coding, and general language understanding tasks. It likely supports long-context interactions and is optimized for both performance and cost-efficiency.

CodingReasoningMultimodal
Input / 1M tokens
$0.30
Output / 1M tokens
$1.20
Output tokens/s
83.47
First-token seconds
1.16s
Supported plans
7

Benchmark history

Evaluations

13

TAU2

Measured May 14, 2026Source

Score

0.87

Terminalbench Hard

Measured May 14, 2026Source

Score

0.26

Lcr

Measured May 14, 2026Source

Score

0.61

Ifbench

Measured May 14, 2026Source

Score

0.72

Aime 25

Measured May 14, 2026Source

Score

0.78

Scicode

Measured May 14, 2026Source

Score

0.36

Livecodebench

Measured May 14, 2026Source

Score

0.83

Hle

Measured May 14, 2026Source

Score

0.13

Gpqa

Measured May 14, 2026Source

Score

0.78

Mmlu Pro

Measured May 14, 2026Source

Score

0.82

Artificial Analysis Math Index

Measured May 14, 2026Source

Score

78.3

Artificial Analysis Coding Index

Measured May 14, 2026Source

Score

29.2

Artificial Analysis Intelligence Index

Measured May 14, 2026Source

Score

36.1

Plan availability

Products and plans that support this model

2
Apertis Coding Plan

Apertis Coding Plan

Apertis Coding Plan is a subscription-based AI coding service providing unified access to 30+ AI models (GPT-5.4, Claude Opus 4.6, Gemini 3.1 Pro, and more) through a single API key. Designed for developers using coding agents like Claude Code, Cursor, Cline, and OpenCode, it offers predictable monthly pricing, free prompt caching, auto-failover, and quota-based billing across OpenAI, Anthropic, Google, and other providers.

Discussion

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