AI21: Jamba Large 1.7 vs Qwen: Qwen3.6 Plus
Side-by-side comparison — pricing, context window, capabilities, and live leaderboard data.
Key differences
- Qwen: Qwen3.6 Plus has a 1000K-token context window — 3.9× larger than AI21: Jamba Large 1.7's 256K.
- Qwen: Qwen3.6 Plus is 84% cheaper per 1K input tokens than AI21: Jamba Large 1.7 ($0.0003 vs $0.0020).
- AI21: Jamba Large 1.7 is built by AI21; Qwen: Qwen3.6 Plus is built by Qwen.
- Qwen: Qwen3.6 Plus supports vision (image inputs); the other does not.
Specifications
| AI21: Jamba Large 1.7 | Qwen: Qwen3.6 Plus | |
|---|---|---|
| Provider | AI21 | Qwen |
| Context window | 256K | 1000K |
| Max output tokens | 8192 | 8192 |
| Input price / 1K tokens | $0.0020 | $0.0003 |
| Output price / 1K tokens | $0.0080 | $0.0019 |
| Vision support | No | Yes |
| Function calling | No | No |
| License | Proprietary | Proprietary |
About AI21: Jamba Large 1.7
Other·ClosedJamba 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...
View AI21: Jamba Large 1.7 reliability and benchmark history →About Qwen: Qwen3.6 Plus
CN·ClosedQwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
View Qwen: Qwen3.6 Plus reliability and benchmark history →Try them yourself
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