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/m…
Model details →Mistral Large 2407 vs Qwen: Qwen VL Max
Qwen: Qwen VL Max wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.
Model details →Side-by-side comparison
| Capability | Mistral Large 2407 | Qwen: Qwen VL Max | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.52 | 🏆 Qwen: Qwen VL Max |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $6.00 | $2.08 | 🏆 Qwen: Qwen VL Max |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen VL Max |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Mistral Large 2407 better than Qwen: Qwen VL Max?
Qwen: Qwen VL Max wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral Large 2407 and Qwen: Qwen VL Max?
Input: $2.00 vs $0.52 per 1M tokens. Output: $6.00 vs $2.08 per 1M tokens.
What context windows do Mistral Large 2407 and Qwen: Qwen VL Max support?
Mistral Large 2407 supports up to 131K tokens. Qwen: Qwen VL Max supports up to 131K tokens.
Do both Mistral Large 2407 and Qwen: Qwen VL Max support tool calling?
Mistral Large 2407: yes. Qwen: Qwen VL Max: yes.