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 Qwen: QwQ 32B
Qwen: QwQ 32B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problem…
Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0-Mini | Qwen: QwQ 32B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $0.15 | 🏆 Qwen: QwQ 32B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.40 | $0.58 | 🏆 Qwen: QwQ 32B |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: QwQ 32B |
| 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 Qwen: QwQ 32B?
Qwen: QwQ 32B 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 Qwen: QwQ 32B?
Input: $0.70 vs $0.15 per 1M tokens. Output: $1.40 vs $0.58 per 1M tokens.
What context windows do AionLabs: Aion-1.0-Mini and Qwen: QwQ 32B support?
AionLabs: Aion-1.0-Mini supports up to 131K tokens. Qwen: QwQ 32B supports up to 131K tokens.
Do both AionLabs: Aion-1.0-Mini and Qwen: QwQ 32B support tool calling?
AionLabs: Aion-1.0-Mini: not advertised. Qwen: QwQ 32B: yes.