Open-source vs closed-source AI models

What is the difference?

Open-source AI models have publicly available weights — anyone can download, modify, and run them. Closed-source models are only accessible via API or consumer product.

Advantages of open-source

• Privacy — data stays in your own environment
• Adaptability — fine-tune for your domain
• No cost per API call
• No vendor lock-in

Disadvantages of open-source

• Requires technical expertise
• Infrastructure costs for GPUs
• Generally lower quality than best closed-source models

Advantages of closed-source

• Better performance on most benchmarks
• No infrastructure management
• Built-in safety filters

When to choose what?

Choose open-source when: privacy is crucial, you need customization, or you work in a regulated sector. Choose closed-source when: you want the best performance or don't want to manage GPU infrastructure.