MiniMax
MiniMax M2.7
minimax/minimax-m2.7
A next-generation MiniMax model for autonomous productivity tasks, built to actively participate in its own evolution.
Pricing
| Input | $0.3per 1M tokens |
|---|---|
| Output | $1.20per 1M tokens |
| Cached input | $0.06per 1M tokens read from cache |
Specifications
| Context window | 205Ktokens |
|---|---|
| Max output | 131Ktokens |
| Provider | MiniMax |
| Capabilities | Reasoning · Function calling |
| Input types | text |
Use MiniMax M2.7
Point your existing OpenAI SDK at xKiro and pass minimax/minimax-m2.7 as the model. Nothing else in your code changes.
from openai import OpenAI
client = OpenAI(
base_url="https://api.xkiro.com/v1",
api_key="YOUR_XKIRO_KEY",
)
response = client.chat.completions.create(
model="minimax/minimax-m2.7",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning
Related models
- MiniMax M2 (Free)Free
- MiniMax M2.1 (Free)Free
- MiniMax M2.1 Highspeed (Free)Free
- MiniMax M2.5$0.27
- MiniMax M2.5 (Free)Free
- MiniMax M2.5 Highspeed (Free)Free
Call MiniMax M2.7 through the same endpoints you already use.
Get an API key