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 Auto Router
Auto Router wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the respon…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Auto Router | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 2M | 🏆 Auto Router |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $-1000000.00 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $-1000000.00 | 🏆 Auto Router |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Auto Router |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Auto Router |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Auto Router?
Auto Router 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 Auto Router?
Input: $2.00 vs $-1000000.00 per 1M tokens. Output: $8.00 vs $-1000000.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Auto Router support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Auto Router supports up to 2M tokens.
Do both AI21: Jamba Large 1.7 and Auto Router support tool calling?
AI21: Jamba Large 1.7: yes. Auto Router: yes.