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-4o Audio
Mistral Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The gpt-4o-audio-preview model adds support for audio inputs as prompts. This enhancement allows the model to detect nuances within audio recordings and add depth to generated user experiences. Audio outputs are currently not supported. Aud…
Model details →Side-by-side comparison
| Capability | Mistral Large | OpenAI: GPT-4o 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-4o 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-4o 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-4o Audio support?
Mistral Large supports up to 128K tokens. OpenAI: GPT-4o Audio supports up to 128K tokens.
Do both Mistral Large and OpenAI: GPT-4o Audio support tool calling?
Mistral Large: yes. OpenAI: GPT-4o Audio: yes.