MiniMax: MiniMax M1

by MiniMax

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 to process long sequences—up to 1 million tokens—while maintaining competitive FLOP efficiency. With 456 billion total parameters and 45.9B active per token, this variant is optimized for complex, multi-step reasoning tasks. Trained via a custom reinforcement learning pipeline (CISPO), M1 excels in long-context understanding, software engineering, agentic tool use, and mathematical reasoning. Benchmarks show strong performance across FullStackBench, SWE-bench, MATH, GPQA, and TAU-Bench, often outperforming other open models like DeepSeek R1 and Qwen3-235B.

Avg Score

78.1%

13 answers

Avg Latency

41.7s

9 runs

Pricing

$0.40

input

$2.20

output

per 1M tokens

Context

1000K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

No alternatives found

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Other Models from MiniMax

Compare performance with other models from the same creator

Model	Score	Latency	Cost/1M
MiniMax: MiniMax M2.1	86.9%	57.3s	$0.69
MiniMax: MiniMax M2	81.2%	25.5s	$0.60
MiniMax: MiniMax M2-her	—	—	$0.75
MiniMax: MiniMax-01	—	—	$0.65

Benchmark Performance

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Price vs Performance

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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

Get started with this model using OpenRouter

View on 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