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 Qwen: Qwen3.6 Flash
Qwen: Qwen3.6 Flash wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Qwen: Qwen3.6 Flash | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 1M | 🏆 Qwen: Qwen3.6 Flash |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.19 | 🏆 Qwen: Qwen3.6 Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $1.13 | 🏆 Qwen: Qwen3.6 Flash |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen3.6 Flash |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3.6 Flash |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Qwen: Qwen3.6 Flash?
Qwen: Qwen3.6 Flash 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 Qwen: Qwen3.6 Flash?
Input: $2.00 vs $0.19 per 1M tokens. Output: $8.00 vs $1.13 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Qwen: Qwen3.6 Flash support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Qwen: Qwen3.6 Flash supports up to 1M tokens.
Do both AI21: Jamba Large 1.7 and Qwen: Qwen3.6 Flash support tool calling?
AI21: Jamba Large 1.7: yes. Qwen: Qwen3.6 Flash: yes.