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 →Mistral: Saba vs Qwen2.5 72B Instruct
Qwen2.5 72B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized…
Model details →Side-by-side comparison
| Capability | Mistral: Saba | Qwen2.5 72B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 33K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.20 | $0.12 | 🏆 Qwen2.5 72B Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $0.39 | 🏆 Qwen2.5 72B Instruct |
| 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: Saba better than Qwen2.5 72B Instruct?
Qwen2.5 72B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Mistral: Saba and Qwen2.5 72B Instruct?
Input: $0.20 vs $0.12 per 1M tokens. Output: $0.60 vs $0.39 per 1M tokens.
What context windows do Mistral: Saba and Qwen2.5 72B Instruct support?
Mistral: Saba supports up to 33K tokens. Qwen2.5 72B Instruct supports up to 33K tokens.
Do both Mistral: Saba and Qwen2.5 72B Instruct support tool calling?
Mistral: Saba: yes. Qwen2.5 72B Instruct: yes.