MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...

by MiniMax

Overview

Quick stats across all benchmark runs.

Score

—

9 benchmarks

Avg Latency

41.7s

13 requests

Pricing

$0.40 in / $2.20 out

per 1M tokens

Context

1000K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

No alternatives found

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Benchmark Performance

How this model performs across different benchmarks

No benchmark data available

Run benchmarks with this model to see performance breakdown

Price vs Performance

Compare cost efficiency across all models

Current model (baseline)

Other models (relative score)

Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

View on OpenRouter

Get started with this model using OpenRouter

import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "minimax/minimax-m1",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys

Other Models from MiniMax

Compare performance with other models from the same creator

Model	Latency	Cost/1M	Score
MiniMax M2.5	10.1s	$0.65	52%
MiniMax M2.7	5.0s	$0.74	34%
MiniMax M2-her	—	$0.75	—
MiniMax-01	—	$0.65	—
MiniMax M2	25.5s	$0.63	—
MiniMax M2.1	57.3s	$0.62	—