minimax-minimax-m3

Models/MiniMax-M3

Model Code

MiniMax/MiniMax-M3

Model overview

Text generationDeep thinkingVision understanding

MiniMax-M3 combines leading coding and agentic capability, a 1M-token context window, and native multimodal input. It is suitable for enterprise long-document understanding, high-quality content generation, code writing, bug fixing, native app building, and image-text interaction.

Company: MiniMaxProvider: Alibaba Cloud

Model capabilities

Input modalityT

Output modalityT

Model experience✓

Function calling✓

Structured output-

Web search-

Prefix completion-

Context cache✓

Batch inference✓

Fine-tuning-

Model pricing

Input$0.6269/1M tokens

Input (cache hit)$0.1254/1M tokens

Output$2.51/1M tokens

Rate limits and context

Maximum input length1M

Maximum input length (thinking mode)1M

Context length1M

Maximum output length-

RPM500

TPM20000000

API reference

EndpointPOST /v1/chat/completions

SDKOpenAI-compatible

API code examples

Get API Key

from openai import OpenAI

client = OpenAI(
    api_key="$WLROUTER_API_KEY",
    base_url="https://api.wlrouter.com/v1"
)

response = client.chat.completions.create(
    model="MiniMax/MiniMax-M3",
    messages=[
        {"role": "user", "content": "Reply with one short sentence."}
    ],
    max_tokens=32
)

print(response.choices[0].message.content)