minimax-m2-7
MiniMax-M2.7 is a large language model built for autonomous, real-world productivity and continuous improvement, with advanced agentic capabilities delivered through multi-agent collaboration.
Pricing: Input 42 credits / 1M tokens (≈ $0.21), Output 168 credits / 1M tokens (≈ $0.84).
Prices updated
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MiniMax M2.7 API on ModelFold
MiniMax-M2.7 is a large language model built for autonomous, real-world productivity and continuous improvement, with advanced agentic capabilities delivered through multi-agent collaboration. Try MiniMax M2.7 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the MiniMax M2.7 API
MiniMax M2.7 at a glance
MiniMax M2.7 is a chat model from MiniMax. It accepts text as input and returns text, with a context window of up to 197K tokens.
Use it without hosting anything
On ModelFold you call MiniMax M2.7 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of MiniMax M2.7
Up to 197K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
MiniMax M2.7 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Reasoning mode
MiniMax M2.7 can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use MiniMax M2.7 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how MiniMax M2.7 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "minimax-m2-7" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with MiniMax M2.7
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is MiniMax M2.7?⌄
MiniMax-M2.7 is a large language model built for autonomous, real-world productivity and continuous improvement, with advanced agentic capabilities delivered through multi-agent collaboration.
Which inputs does MiniMax M2.7 support?⌄
MiniMax M2.7 accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of MiniMax M2.7?⌄
Up to 197K tokens, shared between your input and the model’s output.
Does MiniMax M2.7 support function calling?⌄
Yes. MiniMax M2.7 supports tools / function calling through the standard tools parameter of the chat completions API.
How is MiniMax M2.7 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call MiniMax M2.7 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "minimax-m2-7", using your ModelFold API key as the Bearer token.
| Input | 42 credits 1M tokens≈ $0.21 |
| Output | 168 credits 1M tokens≈ $0.84 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"minimax-m2-7","messages":[{"role":"user","content":"Hello"}]}'