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 Z.ai: GLM 5.1
Z.ai: GLM 5.1 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Z.ai: GLM 5.1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 205K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $0.97 | 🏆 Z.ai: GLM 5.1 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $3.04 | 🏆 Z.ai: GLM 5.1 |
| 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 | 🏆 Z.ai: GLM 5.1 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Z.ai: GLM 5.1?
Z.ai: GLM 5.1 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 Z.ai: GLM 5.1?
Input: $2.00 vs $0.97 per 1M tokens. Output: $8.00 vs $3.04 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Z.ai: GLM 5.1 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Z.ai: GLM 5.1 supports up to 205K tokens.
Do both AI21: Jamba Large 1.7 and Z.ai: GLM 5.1 support tool calling?
AI21: Jamba Large 1.7: yes. Z.ai: GLM 5.1: yes.