Pricing
- Input Tokens: $3 /M tokens
- Output Tokens: $9 /M tokens
Input Modalities
Try this model
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AIHUBMIX_API_KEY"],
base_url="https://shkq.org/v1",
)
response = client.chat.completions.create(
model="Mistral-large-2407",
messages=[
{
"role": "user",
"content": "Hello, how are you?"
}
],
max_tokens=1024,
stream=False,
)
print(response.choices[0].message.content)Frequently asked questions
How much does Mistral Large 2407 cost?
How do I call Mistral Large 2407 via API?
Who created Mistral Large 2407?
More models from Mistral
See all Mistral models →Mistral Medium 3 is a SOTA & versatile model designed for a wide range of tasks, including programming, mathematical reasoning, understanding long documents, summarization, and dialogue. It boasts multi-modal capabilities, enabling it to process visual inputs, and supports dozens of languages, including over 80 coding languages. Additionally, it features function calling and agentic workflows. Mistral Medium 3 is optimized for single-node inference, particularly for long-context applications. Its size allows it to achieve high throughput on a single node.
Mistral's latest open-source small model; provided by chutes.ai.
Mistral has launched a new code model - Codestral 25.01; https://mistral.ai/news/codestral-2501/
The latest Mistral Large 2 model is deployed on Azure.
azure部署
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