Meta AIReleased July 23, 2024

Llama 3.1 70B

Open Source#14 Arena Rank70B parameters

Context

128K

Input

Free (open)

Key Specifications

🏆

Arena Rank

#14

📐

Context Window

128K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

70B

🔓

Open Source

Yes

Best For

Balanced performancefine-tuningdeployment

About Llama 3.1 70B

Llama 3.1 70B is Meta's mid-tier open-source model that offers an exceptional balance of capability and efficiency. At 70 billion parameters with a 128K context window, it delivers strong performance on reasoning, coding, and general tasks while being feasible to run on high-end consumer hardware or affordable cloud instances. It has become one of the most popular foundation models for fine-tuning and custom deployments across the industry.

Built byMeta AI

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Frequently Asked Questions

What is Llama 3.1 70B?
Llama 3.1 70B is Meta's mid-tier open-source model that offers an exceptional balance of capability and efficiency. At 70 billion parameters with a 128K context window, it delivers strong performance on reasoning, coding, and general tasks while being feasible to run on high-end consumer hardware or affordable cloud instances. It has become one of the most popular foundation models for fine-tuning and custom deployments across the industry.
How much does Llama 3.1 70B cost?
Llama 3.1 70B costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Llama 3.1 70B's context window?
Llama 3.1 70B 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 3.1 70B open source?
Yes, Llama 3.1 70B 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 3.1 70B best for?
Llama 3.1 70B is best suited for: Balanced performance, fine-tuning, deployment. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Meta AI's model lineup.