Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context window, it delivers more acc…
Model details →AI21: Jamba Large 1.7 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 | AI21: Jamba Large 1.7 | Mistral: Saba | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 33K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.20 | 🏆 Mistral: Saba |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $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 AI21: Jamba Large 1.7 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 AI21: Jamba Large 1.7 and Mistral: Saba?
Input: $2.00 vs $0.20 per 1M tokens. Output: $8.00 vs $0.60 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Mistral: Saba support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Mistral: Saba supports up to 33K tokens.
Do both AI21: Jamba Large 1.7 and Mistral: Saba support tool calling?
AI21: Jamba Large 1.7: yes. Mistral: Saba: yes.