MiniMax M2.7
ChatNot available
Next-generation model for autonomous real-world productivity with multi-agent collaboration. Excels at live debugging and document generation.
- Context
- 205Ktokens
- Max output
- 131Ktokens
- Latency
- ~14ms
- Released
- 2026-03
Pricing
$ / 1M tokensInput
$0.30/M
Output
$1.20/M
Cache Read
$0.06/M
Cache Write
$0.30/M
Capabilities
3 listed- Chat
- Tool Use
- Coding
Code examples
POST /v1/chat/completionspython
from openai import OpenAI
client = OpenAI(
api_key="your_api_key",
base_url="https://api.modelstack.cc/v1",
)
response = client.chat.completions.create(
model="minimax-m2.7",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Related models
Frequently asked questions
How is MiniMax M2.7 billed on ModelStack?expand_more
ModelStack bills based on actual request usage. Input, output, cache, and any other applicable rates follow the live pricing table on this page. Final request costs are available in the console.
What are the context window and maximum output for MiniMax M2.7?expand_more
MiniMax M2.7 has a 205K context window and supports up to 131K of output.
How can I call MiniMax M2.7 through ModelStack?expand_more
Use the model ID `minimax-m2.7` with any OpenAI-compatible SDK pointed at the ModelStack API — see the code examples above for Python, Node.js, and cURL.
Which capabilities does MiniMax M2.7 support?expand_more
MiniMax M2.7 supports: Chat, Tool Use, Coding.