MetaReleased December 6, 2024

Llama 3.3

Open Source#13 Arena Rank70B parameters

Context

128K

Input

Free

Key Specifications

🏆

Arena Rank

#13

📐

Context Window

128K

📥

Input Price

per 1M tokens

Free

📤

Output Price

per 1M tokens

Free

🧠

Parameters

70B

🔓

Open Source

Yes

Best For

General purposemultilingualcoding

About Llama 3.3

Llama 3.3 is Meta's most efficient high-performance model, delivering capability comparable to the much larger Llama 3.1 405B while using only 70 billion parameters. This dramatic efficiency gain means organizations can deploy near-frontier AI capabilities on significantly less hardware. The model supports a 128K context window, strong multilingual performance across dozens of languages, and excellent coding and reasoning abilities. As a fully open-source model, it can be self-hosted, fine-tuned for specific domains, and deployed without API costs. Llama 3.3 has become the de facto standard for organizations that need powerful AI but want to maintain control over their infrastructure and data. It's widely available through cloud providers and can run on consumer GPUs.

Pricing per 1M tokens

Input Tokens

Free

Output Tokens

Free

Compare Llama 3.3

See how Llama 3.3 stacks up against other leading AI models

Llama 3.3 vs Llama 4 MaverickCompare →Llama 3.3 vs Llama 4 ScoutCompare →Llama 3.3 vs Claude Opus 4Compare →Llama 3.3 vs GPT-o3Compare →Llama 3.3 vs GPT-4oCompare →

Other Meta Models

Llama 4 Maverick
1M#7
Llama 4 Scout
10M#12

Other Top Models

Claude Opus 4Anthropic
#1
GPT-o3OpenAI
#2
GPT-4oOpenAI
#2
GPT-o1OpenAI
#3
DeepSeek R1DeepSeek
#3
Claude Sonnet 4Anthropic
#3

Explore More

Model Benchmarks →All Models →

Frequently Asked Questions

What is Llama 3.3?▾
Llama 3.3 is Meta's most efficient high-performance model, delivering capability comparable to the much larger Llama 3.1 405B while using only 70 billion parameters. This dramatic efficiency gain means organizations can deploy near-frontier AI capabilities on significantly less hardware. The model supports a 128K context window, strong multilingual performance across dozens of languages, and excellent coding and reasoning abilities. As a fully open-source model, it can be self-hosted, fine-tuned for specific domains, and deployed without API costs. Llama 3.3 has become the de facto standard for organizations that need powerful AI but want to maintain control over their infrastructure and data. It's widely available through cloud providers and can run on consumer GPUs.
How much does Llama 3.3 cost?▾
Llama 3.3 costs Free per 1 million input tokens and Free per 1 million output tokens. It is completely free to use.
What is Llama 3.3's context window?▾
Llama 3.3 has a context window of 128K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Llama 3.3 open source?▾
Yes, Llama 3.3 is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Llama 3.3 best for?▾
Llama 3.3 is best suited for: General purpose, multilingual, coding. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Meta's model lineup.