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...
Model details →AI21: Jamba Large 1.7 vs Xiaomi: MiMo-V2.6-Pro
Xiaomi: MiMo-V2.6-Pro wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Xiaomi: MiMo-V2.6-Pro | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 1.0M | 🏆 Xiaomi: MiMo-V2.6-Pro |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.43 | 🏆 Xiaomi: MiMo-V2.6-Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.87 | 🏆 Xiaomi: MiMo-V2.6-Pro |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Xiaomi: MiMo-V2.6-Pro |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Xiaomi: MiMo-V2.6-Pro |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Xiaomi: MiMo-V2.6-Pro?
Xiaomi: MiMo-V2.6-Pro wins on 5 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 Xiaomi: MiMo-V2.6-Pro?
Input: $2.00 vs $0.43 per 1M tokens. Output: $8.00 vs $0.87 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Xiaomi: MiMo-V2.6-Pro support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Xiaomi: MiMo-V2.6-Pro supports up to 1.0M tokens.
Do both AI21: Jamba Large 1.7 and Xiaomi: MiMo-V2.6-Pro support tool calling?
AI21: Jamba Large 1.7: yes. Xiaomi: MiMo-V2.6-Pro: yes.