Mistral AIChat

Ministral 8B

ministral-8b

Ministral 8B by Mistral AI.

Context: 128K tokens
Endpoint

Pricing

Input$0.30 / 1M

Output$0.30 / 1M

Cache Write (5m)$0.30 / 1M

Cache Write (1h)$0.30 / 1M

Cache Read$0.30 / 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="ministral-8b",    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="ministral-8b",#     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.

ministral-8b

Questions about Ministral 8B

How much does Ministral 8B cost on Apertis?

Ministral 8B costs $0.30 per 1M input tokens and $0.30 per 1M output tokens on Apertis.

What is Ministral 8B's context window?

Ministral 8B has a context window of 128K tokens.

Which company develops Ministral 8B?

Ministral 8B is developed by Mistral AI.

Which model ID do I use to call Ministral 8B?

Use the model ID ministral-8b to call Ministral 8B.

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