MiniMax M3 API
Released June 1, 2026 | 1M Tokens context | MiniMax-M3 parameters
MiniMax M3 is MiniMax's June 2026 frontier open-weight model that combines frontier-level coding and agentic performance, a 1M-token context window powered by MSA (MiniMax Sparse Attention), and native multimodality with image, video, and computer-use support — the first open-weight model to bring all three together. On SWE-Bench Pro it surpasses GPT-5.5 and Gemini 3.1 Pro; on SVG-Bench it surpasses Opus 4.7. Served via OpenAI-compatible API with configurable thinking (enabled, disabled, or adaptive) for fast direct answers or deep long-horizon agentic reasoning.
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-M3", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=8192, temperature=1, top_p=0.9, 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-M3", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=8192, temperature=1, top_p=0.9, 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
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