DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperfo…
Model details →DeepSeek Chat (legacy id) vs Mistral: Saba
Mistral: Saba wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional datasets, …
Model details →Side-by-side comparison
| Capability | DeepSeek Chat (legacy id) | Mistral: Saba | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 33K | 🏆 DeepSeek Chat (legacy id) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.32 | $0.20 | 🏆 Mistral: Saba |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.89 | $0.60 | 🏆 Mistral: Saba |
| 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 DeepSeek Chat (legacy id) better than Mistral: Saba?
Mistral: Saba wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek Chat (legacy id) and Mistral: Saba?
Input: $0.32 vs $0.20 per 1M tokens. Output: $0.89 vs $0.60 per 1M tokens.
What context windows do DeepSeek Chat (legacy id) and Mistral: Saba support?
DeepSeek Chat (legacy id) supports up to 164K tokens. Mistral: Saba supports up to 33K tokens.
Do both DeepSeek Chat (legacy id) and Mistral: Saba support tool calling?
DeepSeek Chat (legacy id): yes. Mistral: Saba: yes.