minimax/minimax-m2.7
प्रकाशन तिथि: 2026-03-18
204,800 context · $0.30/M input tokens · $1.20/M output tokens
MiniMax M2.7 is a next-generation flagship text model designed for agent-centric workflows, with strong improvements in coding, complex office tasks, and long-context reasoning. Built on the OpenClaw (Agent Harness) framework, it enables continuous self-improvement in real-world environments, allowing the model to actively participate in execution and decision-making for higher-quality and more efficient task completion.
Pricing
Pay-per-use
No upfront costs, pay only for what you use
Try the model
API Usage
Use the following code examples to integrate with our API:
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["WAVESPEED_API_KEY"],
base_url="https://llm.wavespeed.ai/v1",
timeout=120.0,
max_retries=2,
)
try:
response = client.chat.completions.create(
model="minimax/minimax-m2.7",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content or "")
except Exception as exc:
raise SystemExit(f"LLM request failed: {exc}") from excModel Introduction
Minimax minimax-m2.7
MiniMax-M2
MiniMax-M2.7 represents the journey of recursive self-improvement with enhanced reasoning and agentic capabilities.
Why It Looks Great
- MoE (Mixture of Experts) architecture for efficient processing
- 204800 context window for long document handling
- Competitive pricing at $0.3/$1.2 per million tokens
Key Features
- Context Window: 204800 tokens
- Max Output: N/A tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Minimax |
| Model Type | Large Language Model (LLM) |
| Architecture | MoE (Mixture of Experts) |
| Context Window | 204800 tokens |
| Max Output | tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.3 |
| Output | $1.2 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: minimax/minimax-m2.7
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="minimax/minimax-m2.7",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "minimax/minimax-m2.7",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: minimax/minimax-m2.7
- Provider: Minimax
Info
Supported Functionality
API Access Guide
Minimax M2.7 API
minimax/minimax-m2.7
MiniMax M2.7 is a next-generation flagship text model designed for agent-centric workflows, with strong improvements in coding, complex office tasks, and long-context reasoning. Built on the OpenClaw (Agent Harness) framework, it enables continuous self-improvement in real-world environments, allowing the model to actively participate in execution and decision-making for higher-quality and more efficient task completion.
Input
$0.3 /M
Output
$1.2 /M
Context
205K
Tool Use
Supported
Try Minimax M2.7 on WaveSpeedAI
Access Minimax M2.7 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Frequently Asked Questions about Minimax M2.7
How much does Minimax M2.7 cost via the API?+
Pricing on WaveSpeedAI: $0.30 per million input tokens and $1.20 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
What is the context window of Minimax M2.7?+
Minimax M2.7 supports up to 205K tokens of context with up to — tokens of output per request.
Is Minimax M2.7 OpenAI-compatible?+
WaveSpeedAI exposes Minimax M2.7 at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.
How do I get started with Minimax M2.7?+
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.