Mixtral 8x7B Instruct

About Mixtral 8x7B Instruct

Mixtral 8x7B is Mistral AI's groundbreaking Mixture-of-Experts model, delivering GPT-3.5-level performance with remarkable efficiency. The model uses 8 expert networks with 7 billion parameters each, but only activates 2 experts per token—achieving strong capability while using just 13B active parameters per inference. Mixtral 8x7B features a 32K context window and excels at reasoning, coding, and multilingual tasks, matching or exceeding GPT-3.5 Turbo on most benchmarks. Its open weights enable self-hosting, fine-tuning, and customization without API dependencies. The model is particularly valuable for organizations seeking capable AI with full deployment control and no usage fees. Mixtral 8x7B demonstrates that efficient architecture can deliver frontier-adjacent performance at a fraction of the compute cost. For developers building AI products requiring strong capability with predictable costs, Mixtral 8x7B offers an excellent foundation. It remains one of the most popular open models for production deployments.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Mixtral 8x7B Instruct API

from openai import OpenAI

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

response = client.chat.completions.create(
    model="mistralai/mixtral-8x7b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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