MiniMax M3

MiniMax M3

latest
Model IDminimax-m3
Compare with other models

MiniMax-M3 is MiniMax's latest OpenAI-compatible multimodal model supporting text, image, and video input with configurable thinking (enabled, disabled, or adaptive) and optional reasoning split into reasoning_content.

Per MiniMax M3 limits ContextFast InferenceCodingFunction CallingMultilingualVision Ready

Context <= 512K

Save 50%
$0.60$0.30/1M

input tokens

$2.40$1.20/1M

output tokens

Cached $0.12$0.06/1M cached tokens

Context 512K ~ 1M

Save 20%
$0.75$0.60/1M

input tokens

$3.00$2.40/1M

output tokens

Cached $0.15$0.12/1M 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-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
Platform Integration

Docker

Docker Support

Official Docker images for containerized deployments

Kubernetes

Kubernetes Ready

Production-grade KBS manifests and Helm charts

SDK

SDK Libraries

Official SDKs for Python, Javascript, Go, and Java

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