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 window, it delivers more acc…
Model details →AI21: Jamba Large 1.7 vs Z.ai: GLM 5 Turbo
Z.ai: GLM 5 Turbo wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with imp…
Model details →Side-by-side comparison
| Capability | AI21: Jamba Large 1.7 | Z.ai: GLM 5 Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 256K | 203K | 🏆 AI21: Jamba Large 1.7 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | $1.20 | 🏆 Z.ai: GLM 5 Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $4.00 | 🏆 Z.ai: GLM 5 Turbo |
| 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 Turbo |
Frequently asked questions
Is AI21: Jamba Large 1.7 better than Z.ai: GLM 5 Turbo?
Z.ai: GLM 5 Turbo 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 Turbo?
Input: $2.00 vs $1.20 per 1M tokens. Output: $8.00 vs $4.00 per 1M tokens.
What context windows do AI21: Jamba Large 1.7 and Z.ai: GLM 5 Turbo support?
AI21: Jamba Large 1.7 supports up to 256K tokens. Z.ai: GLM 5 Turbo supports up to 203K tokens.
Do both AI21: Jamba Large 1.7 and Z.ai: GLM 5 Turbo support tool calling?
AI21: Jamba Large 1.7: yes. Z.ai: GLM 5 Turbo: yes.