Llama 3.1 405B Instruct

About Llama 3.1 405B Instruct

Llama 3.1 405B is Meta's largest and most capable open-weight model, representing a milestone in open-source AI development. With 405 billion parameters, it matches or exceeds GPT-4's performance on many benchmarks while being freely available for commercial use. The model features a 128K context window and excels at complex reasoning, multilingual tasks, and code generation across dozens of programming languages. Llama 3.1 405B supports function calling and tool use, enabling sophisticated AI agent development. Its open nature allows organizations to fine-tune, deploy on-premise, and customize without API dependencies or usage fees. The model is available through major cloud providers and inference platforms, offering flexibility in deployment options. For enterprises with data sovereignty requirements, research institutions, and developers building differentiated AI products, Llama 3.1 405B provides frontier-level capabilities without vendor lock-in. While it requires significant compute resources to run, the total cost of ownership can be lower than API-based alternatives for high-volume applications. Meta's commitment to open AI development makes this model a cornerstone of the open-source AI ecosystem.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Llama 3.1 405B 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="meta-llama/llama-3.1-405b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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