MiniMax-M2.7 offers the same top-tier intelligence as the standard version—including recursive self-evolution and expert-level office productivity—but is designed for applications requiring sub-second latency and high-speed token generation. Leveraging an enhanced inference backbone architecture, its output speed is 66% faster than the standard model (reaching 100 tps). It is the preferred choice for interactive programming assistants, real-time agent loop execution, and high-throughput enterprise pipelines with stringent completion time requirements.
from openai import OpenAI
client = OpenAI(
base_url="https://api.throughputs.ai/v1",
api_key="tp_your_api_key",
)
response = client.chat.completions.create(
model="minimax-m2-7",
messages=[
{"role": "user", "content": "Hello! What can you do?"}
],
)
print(response.choices[0].message.content)No monthly commitments.
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