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MiniMax M3
minimax/minimax-m3textVisionReasoning
MiniMax multimodal foundation model: fast and inexpensive, 1M context and up to 512k output. Suited for long-horizon agentic work, coding and large documents. Image input.
Pricing
Request / 1M
Response / 1M
Parameters
messagesrequiredtemperature0–2max_tokensoptionalstreamtrue · falseimage_urlimage (data: URL)How to use via API
from openai import OpenAIclient = OpenAI(base_url="https://api.mixen.ai/v1", api_key="mxn-...")resp = client.chat.completions.create(model="minimax/minimax-m3",messages=[{"role": "user", "content": "Привет"}],temperature=0.7,max_tokens=1024,stream=False,)print(resp.choices[0].message.content)# Стриминг: stream=True — ответ приходит чанкамиfor chunk in client.chat.completions.create(model="minimax/minimax-m3",messages=[{"role": "user", "content": "Привет"}],stream=True,):print(chunk.choices[0].delta.content or "", end="", flush=True)
