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Magistral Medium 2506

magistral-medium-2506

Magistral Medium 2506 by Mistral AI.

Context
41.0K tokens
Endpoint

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Pricing

Input$2.00 / 1M
Output$5.00 / 1M
Cache Write (5m)$2.00 / 1M
Cache Write (1h)$2.00 / 1M
Cache Read$2.00 / 1M
Web Search$0 / 1M

Quick Start

Select an endpoint and copy a working example for this model.

Endpoint
python
from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="magistral-medium-2506",    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="magistral-medium-2506",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs
Common7 params
modelmessagesmax_tokenstemperaturetop_pstreamtools
Extended4 params
reasoning_effortstream_optionsthinkingextra_body

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

magistral-medium-2506

Questions about Magistral Medium 2506

How much does Magistral Medium 2506 cost on Apertis?

Magistral Medium 2506 costs $2.00 per 1M input tokens and $5.00 per 1M output tokens on Apertis.

What is Magistral Medium 2506's context window?

Magistral Medium 2506 has a context window of 41.0K tokens.

Which company develops Magistral Medium 2506?

Magistral Medium 2506 is developed by Mistral AI.

Which model ID do I use to call Magistral Medium 2506?

Use the model ID magistral-medium-2506 to call Magistral Medium 2506.

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