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MiniMax

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.

At a glance

Input / 1M
$0.30
Output / 1M
$1.20
Context
205K
Max output
177K
Intelligence
18.6
Released
Oct 2025
Text inputReasoningTool calling

Pricing

MiniMax M2 API pricing

Per-token rates, plus what common tasks actually cost.

Input tokensPer 1M tokens$0.30
Output tokensPer 1M tokens$1.20
Cached input (read)Per 1M tokensNot available
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$1.20

per 1,000 requests

Coding task

30K in, 4K out

$13.80

per 1,000 requests

Long document summary

150K in, 2K out

$47.40

per 1,000 requests

Benchmarks

MiniMax M2 benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

18.6

Coding index

Not available

Agentic index

Not available

Specs

Context window and capabilities

What it can read, what it can write, and which API features it supports.

Context window
205K tokens
Max output
177K tokens
Input types
Text
Output types
Text
Reasoning effort
Not available
Release date
October 23, 2025
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does MiniMax M2 cost?

MiniMax M2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens through the API. A typical chat message costs about $1.20 per 1,000 messages.

What is the context window of MiniMax M2?

MiniMax M2 accepts up to 205K tokens of input and can write up to 177K tokens in a single response.

What is the best alternative to MiniMax M2?

DeepSeek V4 Flash 0423 from DeepSeek is a strong alternative. It offers: higher intelligence score, larger 1.05m context, newer release.

Can I use MiniMax M2 alongside other models?

Yes. Shortcut Chat sends one prompt to MiniMax M2 and any other models you pick at the same time, so you can compare answers side by side.

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Try MiniMax M2 next to every other model.

Use MiniMax M2 alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.