MiniMax M2.7
VerifiedMiniMax M2.7 handles massive text contexts up to 204800 tokens.
About MiniMax M2.7
MiniMax M2.7 is a closed-source LLM released by the company MiniMax. Its architecture supports a context length of 204800 tokens while accepting only text modality. Parameter count details are not disclosed.
The model is intended for scenarios where extended context retention matters. Users can feed lengthy documents or conversations without truncation. Typical applications include analysis of full reports, code repositories, or multi-turn dialogues that exceed standard context limits.
Capabilities
How MiniMax M2.7 compares
MiniMax M2.7 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · MiniMax M2.7 ranks #39 of 63
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
MiniMax M2.7 processes inputs up to 204800 tokens to perform detailed examination of lengthy reports, research papers, or legal texts while preserving full context.
Extended Multi-turn Conversations
The model maintains coherent instruction following and natural language understanding across many dialogue turns for complex problem-solving or iterative refinement tasks.
Long-context Reasoning Projects
It applies long-context reasoning to connect information across very large datasets or codebases for tasks requiring synthesis of distant details.
Strengths & limitations
Strengths
- +Very large context window
- +Strong text-only performance
- +Suitable for extended inputs
- +General-purpose LLM tasks
Limitations
- –Text modality only
- –No vision capabilities
- –Large context may increase latency
Pricing by provider
Live per-provider pricing & uptime, routed via OpenRouter. Prices are USD per 1M tokens.
| Provider | Input /1M | Output /1M | Context | Uptime |
|---|---|---|---|---|
| DeepInfra(fp8) | $0.25 | $1.00 | 197K | 99.4% |
| Novita(fp8) | $0.27 | $1.08 | 205K | 99.7% |
| Morph | $0.28 | $1.20 | 197K | 98.9% |
| Fireworks | $0.30 | $1.20 | 197K | 99.8% |
| Together(fp4) | $0.30 | $1.20 | 197K | 99.8% |
| Minimax(fp8) | $0.30 | $1.20 | 205K | 98.4% |
| Mara | $0.30 | $1.20 | 197K | 98.6% |
| Minimax(fp8) | $0.60 | $2.40 | 205K | — |
| SambaNova | $0.60 | $2.40 | 197K | — |
| SambaNova | $1.20 | $4.80 | 197K | 96.7% |
Cost calculator
Estimate what MiniMax M2.7 would cost for your usage.
Based on MiniMax M2.7's $0.25/1M 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-m2.7",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: minimax/minimax-m2.7
Editor's verdict
MiniMax M2.7 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, served by 10 providers.
It is available through MiniMax's API and aggregators like OpenRouter.
Best suited to very large context window and strong text-only performance.
Frequently asked questions
No pricing information is included in the provided model specifications.
User reviews
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