Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree of Thoughts (ToT) and Mixture of E…
Model details →AionLabs: Aion-1.0 vs Z.ai: GLM 5V Turbo
Z.ai: GLM 5V Turbo wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...
Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0 | Z.ai: GLM 5V Turbo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 203K | 🏆 Z.ai: GLM 5V Turbo |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $4.00 | $1.20 | 🏆 Z.ai: GLM 5V Turbo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $8.00 | $4.00 | 🏆 Z.ai: GLM 5V Turbo |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Z.ai: GLM 5V Turbo |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Z.ai: GLM 5V Turbo |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is AionLabs: Aion-1.0 better than Z.ai: GLM 5V Turbo?
Z.ai: GLM 5V Turbo wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between AionLabs: Aion-1.0 and Z.ai: GLM 5V Turbo?
Input: $4.00 vs $1.20 per 1M tokens. Output: $8.00 vs $4.00 per 1M tokens.
What context windows do AionLabs: Aion-1.0 and Z.ai: GLM 5V Turbo support?
AionLabs: Aion-1.0 supports up to 131K tokens. Z.ai: GLM 5V Turbo supports up to 203K tokens.
Do both AionLabs: Aion-1.0 and Z.ai: GLM 5V Turbo support tool calling?
AionLabs: Aion-1.0: not advertised. Z.ai: GLM 5V Turbo: yes.