MiniMax M2.5
VerifiedMiniMax M2.5 processes up to 204800 tokens for extended text tasks.
About MiniMax M2.5
MiniMax M2.5 is engineered as a text-only LLM. Its architecture accommodates an unusually large context window of 204800 tokens. This design choice enables the model to retain and reference information across very long inputs without truncation.
The model draws on MiniMax's proprietary training methods to maintain coherence over extended sequences. Its closed nature means weights remain unavailable for local deployment. Performance centers on tasks that benefit from broad contextual awareness rather than narrow, short-form prompts.
Common applications include analysis of lengthy documents, multi-turn dialogue management, and content generation that references prior material. Integration occurs through MiniMax's hosted APIs. Users typically select it when input length exceeds standard context limits of other text models.
Capabilities
How MiniMax M2.5 compares
MiniMax M2.5 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · MiniMax M2.5 ranks #43 of 78
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long-form document analysis
The 204800-token context allows MiniMax M2.5 to ingest and reason over entire novels, research papers, or legal contracts without chunking.
Extended multi-turn conversations
Users can maintain coherent, context-rich dialogues spanning dozens of exchanges while referencing earlier details accurately.
Large-scale code review
The model can process and explain substantial codebases or technical repositories in one pass, supporting refactoring and debugging tasks.
Strengths & limitations
Strengths
- +Very large context window enables processing of lengthy texts
- +Maintains coherence over extended inputs
- +Suitable for document-level and book-length tasks
Limitations
- –Text-only modality with no vision support
- –May incur higher latency at maximum context sizes
- –Performance details on specialized tasks not specified
Cost calculator
Estimate what MiniMax M2.5 would cost for your usage.
Based on MiniMax M2.5's $0.15/1M input · $0.90/1M 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-m2.5",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: minimax/minimax-m2.5
Editor's verdict
MiniMax M2.5 is MiniMax's proprietary language models with a 205K-token context window.
At $0.90 per 1M output tokens, it is very cost-efficient for its class.
It is available through MiniMax's API and aggregators like OpenRouter.
Best suited to very large context window enables processing of lengthy texts and maintains coherence over extended inputs.
Frequently asked questions
MiniMax M2.5 supports a context window of 204800 tokens.
User reviews
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