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MiniMax

MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference.

At a glance

Input / 1M
$0.55
Output / 1M
$2.20
Context
1M
Max output
40K
Intelligence
11.7
Released
Jun 2025
Text inputReasoningTool calling

Pricing

MiniMax M1 API pricing

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

Input tokensPer 1M tokens$0.55
Output tokensPer 1M tokens$2.20
Cached input (read)Per 1M tokensNot available
Cache writePer 1M tokensNot available

Chat message

2K in, 500 out

$2.20

per 1,000 requests

Coding task

30K in, 4K out

$25.30

per 1,000 requests

Long document summary

150K in, 2K out

$86.90

per 1,000 requests

Benchmarks

MiniMax M1 benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

11.7

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
1M tokens
Max output
40K tokens
Input types
Text
Output types
Text
Reasoning effort
Not available
Release date
June 17, 2025
Knowledge cutoff
June 30, 2024
  • Tool calling
  • Structured outputs
  • JSON mode
  • Reasoning
  • Temperature
  • Stop sequences
  • Deterministic seed
  • Verbosity control

FAQ

Frequently asked questions

How much does MiniMax M1 cost?

MiniMax M1 costs $0.55 per 1M input tokens and $2.20 per 1M output tokens through the API. A typical chat message costs about $2.20 per 1,000 messages.

What is the context window of MiniMax M1?

MiniMax M1 accepts up to 1M tokens of input and can write up to 40K tokens in a single response.

What is the best alternative to MiniMax M1?

Gemini 3.1 Flash Lite from Google is a strong alternative. It offers: 1.5x cheaper output, higher intelligence score, larger 1.05m context.

Can I use MiniMax M1 alongside other models?

Yes. Shortcut Chat sends one prompt to MiniMax M1 and any other models you pick at the same time, so you can compare answers side by side.

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Try MiniMax M1 next to every other model.

Use MiniMax M1 alongside all the other models. Use one at a time, or multiple together. Get the best answer from every AI.