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 Qwen: Qwen-Plus
Qwen: Qwen-Plus wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Qwen: Qwen-Plus | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 1M | 🏆 Qwen: Qwen-Plus |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.26 | 🏆 Qwen: Qwen-Plus |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.78 | 🏆 Qwen: Qwen-Plus |
| 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 Qwen: Qwen-Plus?
Qwen: Qwen-Plus wins on 3 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 Qwen: Qwen-Plus?
Input: $2.00 vs $0.26 per 1M tokens. Output: $8.00 vs $0.78 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Qwen: Qwen-Plus support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Qwen: Qwen-Plus supports up to 1M tokens.
Do both AI21: Jamba Large 1.7 and Qwen: Qwen-Plus support tool calling?
AI21: Jamba Large 1.7: yes. Qwen: Qwen-Plus: yes.