GPT-4o mini vs Mistral Small
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.
Mistral Small
Mistral AI
Mistral Small is a compact, cost-efficient language model released by Mistral AI under the Apache 2.0 license. It is designed for text-based tasks with a generous context window of 32,000 tokens, making it suitable for handling large documents or conversations.
Spec comparison
| GPT-4o mini | Mistral Small | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Category | Small LLM | Small LLM |
| Context window | 128K ctx | 32K ctx |
| Max output | 16K ctx | - |
| Input price | $0.15 / 1M | $0.20 / 1M |
| Output price | $0.60 / 1M | $0.60 / 1M |
| License | Proprietary | Apache 2.0 |
| 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.
Mistral Small: what it's for
Mistral Small is a compact, cost-efficient language model released by Mistral AI under the Apache 2.0 license. It is designed for text-based tasks with a generous context window of 32,000 tokens, making it suitable for handling large documents or conversations.