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-4 Turbo
Mistral: Ministral 3 3B 2512 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Model details →Side-by-side comparison
| Capability | Mistral: Ministral 3 3B 2512 | OpenAI: GPT-4 Turbo | 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 | $10.00 | 🏆 Mistral: Ministral 3 3B 2512 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.10 | $30.00 | 🏆 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-4 Turbo?
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-4 Turbo?
Input: $0.10 vs $10.00 per 1M tokens. Output: $0.10 vs $30.00 per 1M tokens.
What context windows do Mistral: Ministral 3 3B 2512 and OpenAI: GPT-4 Turbo support?
Mistral: Ministral 3 3B 2512 supports up to 131K tokens. OpenAI: GPT-4 Turbo supports up to 128K tokens.
Do both Mistral: Ministral 3 3B 2512 and OpenAI: GPT-4 Turbo support tool calling?
Mistral: Ministral 3 3B 2512: yes. OpenAI: GPT-4 Turbo: yes.