Mistral Large 3

mistralai/mistral-large-2512

Mistral's most capable model — a sparse mixture-of-experts with 41B active (675B total) parameters.

Pricing

Specifications

Use Mistral Large 3

Point your existing OpenAI SDK at xKiro and pass mistralai/mistral-large-2512 as the model. Nothing else in your code changes.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.xkiro.com/v1",
    api_key="YOUR_XKIRO_KEY",
)

response = client.chat.completions.create(
    model="mistralai/mistral-large-2512",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs

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