This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news…
Model details →Mistral Large vs OpenAI: GPT Audio
Mistral Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
Model details →Side-by-side comparison
| Capability | Mistral Large | OpenAI: GPT Audio | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 128K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $2.50 | 🏆 Mistral Large |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $6.00 | $10.00 | 🏆 Mistral Large |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Mistral Large better than OpenAI: GPT Audio?
Mistral Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral Large and OpenAI: GPT Audio?
Input: $2.00 vs $2.50 per 1M tokens. Output: $6.00 vs $10.00 per 1M tokens.
What context windows do Mistral Large and OpenAI: GPT Audio support?
Mistral Large supports up to 128K tokens. OpenAI: GPT Audio supports up to 128K tokens.
Do both Mistral Large and OpenAI: GPT Audio support tool calling?
Mistral Large: yes. OpenAI: GPT Audio: yes.