May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
Model details →DeepSeek: R1 0528 vs Mistral Large
DeepSeek: R1 0528 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | DeepSeek: R1 0528 | Mistral Large | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 128K | 🏆 DeepSeek: R1 0528 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.50 | $2.00 | 🏆 DeepSeek: R1 0528 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.15 | $6.00 | 🏆 DeepSeek: R1 0528 |
| 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. | Yes | — | 🏆 DeepSeek: R1 0528 |
Frequently asked questions
Is DeepSeek: R1 0528 better than Mistral Large?
DeepSeek: R1 0528 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: R1 0528 and Mistral Large?
Input: $0.50 vs $2.00 per 1M tokens. Output: $2.15 vs $6.00 per 1M tokens.
What context windows do DeepSeek: R1 0528 and Mistral Large support?
DeepSeek: R1 0528 supports up to 164K tokens. Mistral Large supports up to 128K tokens.
Do both DeepSeek: R1 0528 and Mistral Large support tool calling?
DeepSeek: R1 0528: yes. Mistral Large: yes.