MiniMax M2.5
latestMiniMax-M2.5 is the February 2026 successor to M2.1 — a 229B-parameter MoE (10B active) reasoning model that ships in thinking mode by default, delivering high-accuracy coding, office automation, and summarisation across a 196K context window.
input tokens
output tokens
Cached $0.09$0.07/1M cached tokens
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="MiniMaxAI/MiniMax-M2.5", messages=[ { "role": "user", "content": "Explain quantum computing in simple terms" } ], max_tokens=8192, temperature=1, top_p=0.95, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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Research & Clinical Intelligence