The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
Model details →Mistral: Ministral 3 3B 2512 vs OpenAI: GPT-4o-mini
Mistral: Ministral 3 3B 2512 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable than other recent frontier mo…
Model details →Side-by-side comparison
| Capability | Mistral: Ministral 3 3B 2512 | OpenAI: GPT-4o-mini | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 128K | 🏆 Mistral: Ministral 3 3B 2512 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.15 | 🏆 Mistral: Ministral 3 3B 2512 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.10 | $0.60 | 🏆 Mistral: Ministral 3 3B 2512 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Mistral: Ministral 3 3B 2512 better than OpenAI: GPT-4o-mini?
Mistral: Ministral 3 3B 2512 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Ministral 3 3B 2512 and OpenAI: GPT-4o-mini?
Input: $0.10 vs $0.15 per 1M tokens. Output: $0.10 vs $0.60 per 1M tokens.
What context windows do Mistral: Ministral 3 3B 2512 and OpenAI: GPT-4o-mini support?
Mistral: Ministral 3 3B 2512 supports up to 131K tokens. OpenAI: GPT-4o-mini supports up to 128K tokens.
Do both Mistral: Ministral 3 3B 2512 and OpenAI: GPT-4o-mini support tool calling?
Mistral: Ministral 3 3B 2512: yes. OpenAI: GPT-4o-mini: yes.