GPT-4o mini vs Llama 3.1 8B
A side-by-side comparison of two Small LLM models - to help you pick the right one.
GPT-4o mini
OpenAI
GPT-4o mini is a smaller, low-cost OpenAI model designed for high-volume tasks. It supports both text and vision inputs, making it versatile for multimodal applications. With a 128,000-token context window and 16,384-token max output, it balances capacity and affordability.
Llama 3.1 8B
Meta
Llama 3.1 8B is a small, open-weights language model from Meta designed for efficiency on modest hardware, such as on-device or edge applications. It supports text-based tasks and operates under the Llama 3.1 Community License.
Spec comparison
| GPT-4o mini | Llama 3.1 8B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Category | Small LLM | Small LLM |
| Context window | 128K ctx | 128K ctx |
| Max output | 16K ctx | - |
| Input price | $0.15 / 1M | - |
| Output price | $0.60 / 1M | - |
| License | Proprietary | Llama 3.1 Community License |
| Open weights | No | Yes |
| Modality | Text, Vision | Text |
Prices and specs are per provider documentation; verify current figures before relying on them.
GPT-4o mini: what it's for
GPT-4o mini is a smaller, low-cost OpenAI model designed for high-volume tasks. It supports both text and vision inputs, making it versatile for multimodal applications. With a 128,000-token context window and 16,384-token max output, it balances capacity and affordability.
Llama 3.1 8B: what it's for
Llama 3.1 8B is a small, open-weights language model from Meta designed for efficiency on modest hardware, such as on-device or edge applications. It supports text-based tasks and operates under the Llama 3.1 Community License.