MiniMax M1 (Extended)
minimax-m1:extendedMiniMax M1 (Extended) by MiniMax.
- Context
- 128K tokens
- Endpoint
Service Status
Status information temporarily unavailable
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Pricing
Quick Start
Select an endpoint and copy a working example for this model.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="minimax-m1:extended", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="minimax-m1:extended",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )Supported Parameters
API docsmodelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyCursor IDE Model IDs
Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
Questions about MiniMax M1 (Extended)
How much does MiniMax M1 (Extended) cost on Apertis?
MiniMax M1 (Extended) costs $0.55 per 1M input tokens and $2.20 per 1M output tokens on Apertis.
What is MiniMax M1 (Extended)'s context window?
MiniMax M1 (Extended) has a context window of 128K tokens.
Which company develops MiniMax M1 (Extended)?
MiniMax M1 (Extended) is developed by MiniMax.
Which model ID do I use to call MiniMax M1 (Extended)?
Use the model ID minimax-m1:extended to call MiniMax M1 (Extended).
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- Input
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