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: Qwen3.8 27B
Qwen: Qwen3.8 27B wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Qwen: Qwen3.8 27B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 262K | 🏆 Qwen: Qwen3.8 27B |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.45 | 🏆 Qwen: Qwen3.8 27B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $3.20 | 🏆 Qwen: Qwen3.8 27B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 AI21: Jamba Large 1.7 |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen3.8 27B |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3.8 27B |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Qwen: Qwen3.8 27B?
Qwen: Qwen3.8 27B 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: Qwen3.8 27B?
Input: $2.00 vs $0.45 per 1M tokens. Output: $8.00 vs $3.20 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Qwen: Qwen3.8 27B support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Qwen: Qwen3.8 27B supports up to 262K tokens.
Do both AI21: Jamba Large 1.7 and Qwen: Qwen3.8 27B support tool calling?
AI21: Jamba Large 1.7: yes. Qwen: Qwen3.8 27B: not advertised.