Mistral Nemo

About Mistral Nemo

Mistral Nemo is a 12B parameter model developed in collaboration between Mistral AI and NVIDIA, designed for efficient deployment across diverse hardware. The model delivers strong performance on reasoning and coding tasks while maintaining a practical size suitable for local deployment and cost-effective cloud inference. Mistral Nemo features a 128K context window and excels at general conversation, content generation, and code assistance. Its architecture optimizations enable efficient inference on NVIDIA GPUs, making it particularly attractive for organizations with existing NVIDIA infrastructure. The model supports function calling and can be fine-tuned for specific domains. Mistral Nemo is available as open weights, enabling self-hosting and customization without ongoing API costs. For developers seeking a capable mid-size model with strong hardware optimization and deployment flexibility, Mistral Nemo offers an excellent balance of performance and practicality. It's particularly popular for local AI assistants and enterprise deployments requiring on-premise inference.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Mistral Nemo 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/mistral-nemo",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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