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-3.5 Turbo 16k
Mistral Large wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
Model details →Side-by-side comparison
| Capability | Mistral Large | OpenAI: GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 16K | 🏆 Mistral Large |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $3.00 | 🏆 Mistral Large |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $6.00 | $4.00 | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| 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-3.5 Turbo 16k?
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-3.5 Turbo 16k?
Input: $2.00 vs $3.00 per 1M tokens. Output: $6.00 vs $4.00 per 1M tokens.
What context windows do Mistral Large and OpenAI: GPT-3.5 Turbo 16k support?
Mistral Large supports up to 128K tokens. OpenAI: GPT-3.5 Turbo 16k supports up to 16K tokens.
Do both Mistral Large and OpenAI: GPT-3.5 Turbo 16k support tool calling?
Mistral Large: yes. OpenAI: GPT-3.5 Turbo 16k: yes.