Explore MiniMax M1: A Reasoning Powerhouse

MiniMax M1 excels in extended context and complex reasoning tasks.

Input: text Output: text Context: 1,000,000 tokens Release: 2025-06-17

Discover the MiniMax M1, a cutting-edge reasoning model by minimax, released in June 2025. This model excels in handling extended contexts with its impressive 1 million token capacity, making it ideal for complex reasoning tasks. With a text-to-text modality, it processes input and output as text, leveraging a hybrid Mixture-of-Experts architecture. Its unique 'lightning attention' mechanism ensures efficient handling of long sequences. The model is equipped with 456 billion parameters, optimizing it for tasks like software engineering and mathematical reasoning. Whether you're working on agentic tool use or extended context understanding, the MiniMax M1 offers robust performance.

Use Cases

Here are a few ways teams apply MiniMax: MiniMax M1 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance software engineering projects

Solve complex mathematical problems

Improve long-context understanding

Optimize agentic tool usage

Key Features

A quick look at the capabilities that make this model useful in real projects.

Processes up to 1 million tokens

Text-to-text modality

456 billion total parameters

Hybrid Mixture-of-Experts architecture

Custom 'lightning attention' mechanism

Specs

Overview

Vendor
minimax

Model ID
minimax/minimax-m1

Release
2025-06-17

Modalities & context

Input
text

Output
text

Context
1,000,000 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: MiniMax: MiniMax M1

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

AI is reshaping work, leisure, and creativity by shifting human effort toward higher‑order activities. In the workplace, algorithms now handle data entry, routine analysis, and even code generation, freeing employees to focus on strategy, empathy‑driven customer service, and innovation. This automation can reduce burnout and open pathways for reskilling, turning jobs into opportunities for lifelong learning and purpose‑driven work. In leisure, AI curates personalized experiences—dynamic playlists that evolve with mood, adaptive storytelling that branches to match interests, and virtual tutors that make new hobbies accessible—allowing people to explore passions without time‑intensive trial‑and‑error. In the realm of creativity, generative models co‑write novels, sketch artworks, and compose music, serving as collaborative partners that lower barriers to expression and democratize access to sophisticated tools. If equitably deployed, AI can broaden prosperity, foster a culture where humans and machines co‑create, and redefine how we work, play, and imagine, for everyone and everywhere now today.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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