MiniMax M2
VerifiedMiniMax M2 processes up to 204800 tokens of text in a single context.
About MiniMax M2
MiniMax M2 is built as a proprietary LLM with an unusually large 204800-token context window. This design choice enables the model to ingest and reason over very long documents or multi-turn dialogues without truncation. Because the weights are not open, access occurs exclusively through MiniMax's hosted service.
Its primary strength lies in maintaining coherence across extended text inputs where smaller context windows would fail. Typical usage includes document summarization, long-form content generation, and analysis of lengthy transcripts or codebases. Developers integrate it into workflows that demand retention of distant information within a single prompt.
Capabilities
How MiniMax M2 compares
MiniMax M2 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · MiniMax M2 ranks #47 of 78
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
MiniMax M2 excels at processing and reasoning over very long texts, leveraging its 204800-token context for thorough document review and summarization.
Extended Multi-turn Conversations
The model maintains coherence across lengthy dialogues while accurately following evolving instructions in interactive applications.
Complex Instruction-Based Generation
It performs well on tasks that require precise adherence to detailed prompts combined with high-quality text output.
Strengths & limitations
Strengths
- +Very large 204k token context window
- +Strong text-only language modeling
- +Suitable for extended document tasks
Limitations
- –Text modality only
- –No vision or multimodal support
- –Unknown real-world performance characteristics
Cost calculator
Estimate what MiniMax M2 would cost for your usage.
Based on MiniMax M2's $0.26/1M input · $1.00/1M 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-m2",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: minimax/minimax-m2
Editor's verdict
MiniMax M2 is MiniMax's proprietary language models with a 205K-token context window.
At $1.00 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 very large 204k token context window and strong text-only language modeling.
Frequently asked questions
Pricing details are not specified in the available model information.
User reviews
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