Aion-1.0-Mini 32B parameter model is a distilled version of the DeepSeek-R1 model, designed for strong performance in reasoning domains such as mathematics, coding, and logic. It is a modified variant of a FuseAI model that outperforms R1-D…
Model details →AionLabs: Aion-1.0-Mini vs Z.ai: GLM 5
AionLabs: Aion-1.0-Mini wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling l…
Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0-Mini | Z.ai: GLM 5 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 80K | 🏆 AionLabs: Aion-1.0-Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $0.72 | 🏆 AionLabs: Aion-1.0-Mini |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.40 | $2.30 | 🏆 AionLabs: Aion-1.0-Mini |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Z.ai: GLM 5 |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is AionLabs: Aion-1.0-Mini better than Z.ai: GLM 5?
AionLabs: Aion-1.0-Mini wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between AionLabs: Aion-1.0-Mini and Z.ai: GLM 5?
Input: $0.70 vs $0.72 per 1M tokens. Output: $1.40 vs $2.30 per 1M tokens.
What context windows do AionLabs: Aion-1.0-Mini and Z.ai: GLM 5 support?
AionLabs: Aion-1.0-Mini supports up to 131K tokens. Z.ai: GLM 5 supports up to 80K tokens.
Do both AionLabs: Aion-1.0-Mini and Z.ai: GLM 5 support tool calling?
AionLabs: Aion-1.0-Mini: not advertised. Z.ai: GLM 5: yes.