Compare GPT-5 Nano and LLaMA 3 8B. Find out which model is better for your specific use case and requirements.
| Feature | GPT-5 Nano | LLaMA 3 8B |
|---|---|---|
| Provider | OpenAI | Meta |
| Model Type | text | text |
| Context Window | 400,000 tokens | 8,192 tokens |
| Input Cost | $0.05/ 1M tokens | N/A |
| Output Cost | $0.40/ 1M tokens | N/A |
1. Extremely fast performance
2. Most cost-efficient GPT-5 model
3. Ideal for lightweight, well-scoped tasks
4. Multimodal input
5. Broad tool support
LLaMA 3 8B is a highly efficient, small-scale open-source model perfect for simpler tasks and edge devices. It's great for applications like chatbots, text classification, and sentiment analysis where resource constraints are a concern. Its speed and small footprint make it easy to deploy.
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