MiniMax M2.5 API
Released February 12, 2026 | 200K Tokens context | 230B params (10B active) parameters
MiniMax M2.5 API enables Enterprise coding copilots that refactor large monorepos with persistent chain-of-thought traces, Financial and legal summarisation workloads that need dependable reasoning over 100K+ token dossiers, and Agentic office automation flows coordinating email, spreadsheet, and document operations. MiniMax-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. Standout strengths include Thinking-first alignment provides dependable multi-step reasoning without extra prompting and 229B MoE with only 10B active parameters keeps costs competitive while matching frontier accuracy. It is optimized for production agent and assistant workloads where response quality, latency, and predictable operating cost all matter.
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")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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