GPT-5 Nano vs LLaMA 3 70B

Compare GPT-5 Nano and LLaMA 3 70B. Find out which one is better for your use case.

Model Comparison

Feature	GPT-5 Nano	LLaMA 3 70B
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

Strengths & Best Use Cases

GPT-5 Nano

1. Extremely fast performance

Fastest model in the GPT-5 family.
Great for real-time workflows, rapid responses, and high-throughput systems.

2. Most cost-efficient GPT-5 model

Lowest input and output token costs.
Suitable for large-scale or budget-sensitive applications.

3. Ideal for lightweight, well-scoped tasks

Excels at summarization, classification, text extraction, and simple logic tasks.
Best used when tasks are narrow and well-defined.

4. Multimodal input

Accepts text + image as input.
Outputs text only.

5. Broad tool support

Supports Web Search, File Search, Image Generation (as a tool), Code Interpreter, and MCP.
(Does not support Computer Use.)

LLaMA 3 70B

LLaMA 3 70B is a powerful, large-scale open-source model that excels at a wide range of tasks, including nuanced content creation, code generation, and complex reasoning. Its open nature allows for fine-tuning and customization, making it a top choice for developers looking to build specialized applications.