Context
8K
Input
Free (open)
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
8K
📥
Input Price
per 1M tokens
Free (open)
📤
Output Price
per 1M tokens
Free (open)
🧠
Parameters
8B
🔓
Open Source
Yes
Best For
Edge deploymentfast inferencefine-tuning
About Llama 3 8B
Llama 3 8B is Meta's compact model that delivered breakthrough performance for its size class, outperforming the much larger Llama 2 70B on many benchmarks despite being nearly 10x smaller. Its efficiency and strong instruction following made it the most popular starting point for fine-tuning custom models in the open-source community.
Built byMeta AI↗
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
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Frequently Asked Questions
What is Llama 3 8B?▾
Llama 3 8B is Meta's compact model that delivered breakthrough performance for its size class, outperforming the much larger Llama 2 70B on many benchmarks despite being nearly 10x smaller. Its efficiency and strong instruction following made it the most popular starting point for fine-tuning custom models in the open-source community.
How much does Llama 3 8B cost?▾
Llama 3 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 8B's context window?▾
Llama 3 8B has a context window of 8K 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 8B open source?▾
Yes, Llama 3 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 8B best for?▾
Llama 3 8B is best suited for: Edge deployment, fast inference, fine-tuning. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Meta AI's model lineup.