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 5.3
Z.ai: GLM 5.3 wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Z.ai: GLM 5.3 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 1.0M | 🏆 Z.ai: GLM 5.3 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $1.40 | 🏆 Z.ai: GLM 5.3 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $4.40 | 🏆 Z.ai: GLM 5.3 |
| 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 5.3 |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Z.ai: GLM 5.3?
Z.ai: GLM 5.3 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 Z.ai: GLM 5.3?
Input: $2.00 vs $1.40 per 1M tokens. Output: $8.00 vs $4.40 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Z.ai: GLM 5.3 support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Z.ai: GLM 5.3 supports up to 1.0M tokens.
Do both AI21: Jamba Large 1.7 and Z.ai: GLM 5.3 support tool calling?
AI21: Jamba Large 1.7: yes. Z.ai: GLM 5.3: yes.