Llama 3.3 70B

Available open-source

Meta's most efficient open-source model with flagship performance

Released December 6, 2024

API Documentation View Provider

Context Window

128K

TTFT

N/A

Speed

N/A

Max Output

Training Cutoff

December 2023

Last tested: 2026-01-15

About

Llama 3.3 70B delivers performance comparable to the much larger 405B model while being significantly more cost-effective. Built on Meta's latest architecture improvements, it excels at reasoning, coding, and multilingual tasks while remaining fully open-source under the Llama 3.3 Community License.

Capabilities

function-calling streaming json-mode multilingual code-generation

Pricing

Input: $0.88/M
Output: $0.88/M

Live pricing Static pricing

Details

Overview

Llama 3.3 70B represents Meta’s commitment to democratizing AI by delivering frontier-level performance in an open-source package. This model achieves comparable results to Llama 3.1 405B on many benchmarks while requiring significantly fewer compute resources.

Key Strengths

Efficiency Leadership: The model delivers exceptional performance-per-dollar, making it ideal for production workloads where cost matters. With 128K context window support, it handles long documents and complex conversations with ease.

Code Generation: Llama 3.3 70B excels at programming tasks, supporting multiple languages and demonstrating strong reasoning about code structure and debugging.

Multilingual Support: Built-in support for 8 languages including English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai makes it suitable for global applications.

Use Cases

Enterprise Chat Applications: Cost-effective alternative to proprietary models for customer service and internal tools
Code Assistance: IDE integrations, code review, and documentation generation
Document Analysis: Legal document review, contract analysis, and research synthesis
Multilingual Applications: Global customer support and content localization

Open Source Advantage

As a fully open-source model, Llama 3.3 70B can be self-hosted, fine-tuned, and customized for specific use cases. Organizations retain full control over their AI infrastructure while benefiting from Meta’s research investment.