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Meta AIReleased July 23, 2024

Llama 3.1 8B

Open Source#22 Arena Rank8B parameters

Llama 3.1 8B holds a solid spot in the Arena rankings at #22. Context window: 0.128K tokens.

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, developed by Meta AI, is a compact open-source model with 8 billion parameters and a 128K token context window, a substantial upgrade from the 8K context of Llama 3. The model handles edge deployment, mobile AI, and fast inference tasks while supporting significantly longer document processing. Its extended context window enables use cases like document summarization, long-form analysis, and RAG applications that were impractical with the shorter-context predecessor. Llama 3.1 8B can run on consumer GPUs and mobile device accelerators, making it one of the most deployable long-context models available. Free and open-source under Meta's license, it supports commercial use and fine-tuning. Llama 3.1 8B ranks #22 on the Chatbot Arena leaderboard, demonstrating competitive performance for its compact parameter count.

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 8BCompare →

Other Meta AI Models

Llama 3.1 405B
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Llama 3.2 90B Vision
128K#11
Llama 3.3 70B
128K#13
Llama 3.1 70B
128K#14
Llama 3 8B
8K

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Frequently Asked Questions

What is Llama 3.1 8B?▾
Llama 3.1 8B, developed by Meta AI, is a compact open-source model with 8 billion parameters and a 128K token context window, a substantial upgrade from the 8K context of Llama 3. The model handles edge deployment, mobile AI, and fast inference tasks while supporting significantly longer document processing. Its extended context window enables use cases like document summarization, long-form analysis, and RAG applications that were impractical with the shorter-context predecessor. Llama 3.1 8B can run on consumer GPUs and mobile device accelerators, making it one of the most deployable long-context models available. Free and open-source under Meta's license, it supports commercial use and fine-tuning. Llama 3.1 8B ranks #22 on the Chatbot Arena leaderboard, demonstrating competitive performance for its compact parameter count.
How much does Llama 3.1 8B cost?▾
Llama 3.1 8B costs Free (open) per 1M input tokens and Free (open) per 1M output tokens. You pay only for what you use, which keeps costs predictable.
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 — bigger windows mean longer documents and richer conversation history.
Is Llama 3.1 8B open source?▾
Yes, Llama 3.1 8B is open source. The model weights are publicly available, so developers can download, fine-tune, and self-host it. Open-source models give teams more control over data privacy and deployment.
What is Llama 3.1 8B best for?▾
Llama 3.1 8B is best suited for: Edge deployment, mobile, fast inference. These use cases play to the model's strengths in capability, speed, and cost within Meta AI's lineup.