MiniMax M1
VerifiedProcesses million-token contexts for deep text analysis.
About MiniMax M1
MiniMax M1 employs an architecture optimized for extended context lengths up to one million tokens. This enables the model to maintain coherence across large volumes of text without truncation. The closed-weight design allows MiniMax to apply proprietary scaling methods tailored to long-sequence processing.
Its primary strength lies in tasks that depend on distant information within a single prompt. The model preserves details across lengthy inputs better than shorter-context alternatives. Users benefit from reduced need for chunking or summarization preprocessing steps.
Common applications include full-document summarization, legal contract review, and multi-chapter story analysis. It also supports extended multi-turn dialogues where conversation history must remain fully accessible. API access is provided for integration into enterprise text-processing pipelines.
Capabilities
How MiniMax M1 compares
MiniMax M1 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · MiniMax M1 ranks #75 of 95
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Large Document Analysis
MiniMax M1 processes inputs up to 1,000,000 tokens to review full-length reports, research papers, or legal files and extract key information in a single pass.
Extended Multi-Turn Dialogue
The model maintains coherence across very long conversation histories, supporting ongoing interactions such as technical support sessions or iterative writing assistance.
Long-Context Code Tasks
MiniMax M1 handles code generation and understanding across large repositories, following complex instructions that reference multiple files or extensive codebases.
Strengths & limitations
Strengths
- +Supports 1M token context window
- +Strong at processing lengthy documents
- +Suitable for complex text workflows
Limitations
- –Text-only modality
- –No native vision or multimodal support
- –Large context may increase latency
Cost calculator
Estimate what MiniMax M1 would cost for your usage.
Based on MiniMax M1's $0.40/1M input · $2.20/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "minimax/minimax-m1",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: minimax/minimax-m1
Editor's verdict
MiniMax M1 is MiniMax's proprietary language models with a 1000K-token context window.
At $2.20 per 1M output tokens, it is mid-priced for its class.
It is available through MiniMax's API and aggregators like OpenRouter.
Best suited to supports 1m token context window and strong at processing lengthy documents.
Frequently asked questions
MiniMax M1 provides a context window of 1,000,000 tokens.
User reviews
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