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 Tencent: Hy3
Tencent: Hy3 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Tencent: Hy3 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 262K | 🏆 Tencent: Hy3 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.13 | 🏆 Tencent: Hy3 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $0.53 | 🏆 Tencent: Hy3 |
| 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. | — | Yes | 🏆 Tencent: Hy3 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Tencent: Hy3?
Tencent: Hy3 wins on 4 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 Tencent: Hy3?
Input: $2.00 vs $0.13 per 1M tokens. Output: $8.00 vs $0.53 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Tencent: Hy3 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Tencent: Hy3 supports up to 262K tokens.
Do both AI21: Jamba Large 1.7 and Tencent: Hy3 support tool calling?
AI21: Jamba Large 1.7: yes. Tencent: Hy3: yes.