Meta AI ↗Released July 23, 2024

Llama 3.1 8B

Open Source#22 Arena Rank8B parameters

Context

128K

Input

Free (open)

Key Specifications

🏆

Arena Rank

#22

📐

Context Window

128K

📥

Input Price

per 1M tokens

Free (open)

📤

Output Price

per 1M tokens

Free (open)

🧠

Parameters

8B

🔓

Open Source

Yes

Best For

Edge deploymentmobilefast inference

About Llama 3.1 8B

Llama 3.1 8B is Meta's smallest model in the Llama 3.1 family, designed for environments where computational resources are limited but strong language understanding is still needed. Despite its compact 8 billion parameter size, it maintains a 128K context window and delivers impressive performance on coding, reasoning, and conversational tasks relative to its size. It runs efficiently on a single GPU and is widely used for edge deployment, mobile applications, and cost-sensitive production workloads.

Built byMeta AI↗

Pricing per 1M tokens

Input Tokens

Free (open)

Output Tokens

Free (open)

Compare Llama 3.1 8B

See how Llama 3.1 8B stacks up against other leading AI models

Llama 3.1 8B vs Llama 3.1 405BCompare →Llama 3.1 8B vs Llama 3.2 90B VisionCompare →Llama 3.1 8B vs Llama 3.3 70BCompare →Llama 3.1 8B vs Llama 3.1 70BCompare →Llama 3.1 8B vs Llama 3 70BCompare →

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Frequently Asked Questions

What is Llama 3.1 8B?▾
Llama 3.1 8B is Meta's smallest model in the Llama 3.1 family, designed for environments where computational resources are limited but strong language understanding is still needed. Despite its compact 8 billion parameter size, it maintains a 128K context window and delivers impressive performance on coding, reasoning, and conversational tasks relative to its size. It runs efficiently on a single GPU and is widely used for edge deployment, mobile applications, and cost-sensitive production workloads.
How much does Llama 3.1 8B cost?▾
Llama 3.1 8B 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 8B's context window?▾
Llama 3.1 8B 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 8B open source?▾
Yes, Llama 3.1 8B 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 8B best for?▾
Llama 3.1 8B is best suited for: Edge deployment, mobile, fast inference. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Meta AI's model lineup.