Pixtral Large 2411
pixtral-large-2411Pixtral Large 2411 by Mistral AI.
- Context
- 131.1K tokens
- Endpoint
Service Status
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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="pixtral-large-2411", 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="pixtral-large-2411",# 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 Pixtral Large 2411
How much does Pixtral Large 2411 cost on Apertis?
Pixtral Large 2411 costs $2.00 per 1M input tokens and $6.00 per 1M output tokens on Apertis.
What is Pixtral Large 2411's context window?
Pixtral Large 2411 has a context window of 131.1K tokens.
Which company develops Pixtral Large 2411?
Pixtral Large 2411 is developed by Mistral AI.
Which model ID do I use to call Pixtral Large 2411?
Use the model ID pixtral-large-2411 to call Pixtral Large 2411.
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