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/Qwen2.5-32B-Instruct-AWQ
AionLabs: Aion-1.0-Mini wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
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Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0-Mini | Qwen/Qwen2.5-32B-Instruct-AWQ | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | Unknown | 🏆 AionLabs: Aion-1.0-Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | Custom | 🏆 AionLabs: Aion-1.0-Mini |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.40 | Custom | 🏆 AionLabs: Aion-1.0-Mini |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 AionLabs: Aion-1.0-Mini |
Frequently asked questions
Is AionLabs: Aion-1.0-Mini better than Qwen/Qwen2.5-32B-Instruct-AWQ?
AionLabs: Aion-1.0-Mini wins on 4 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/Qwen2.5-32B-Instruct-AWQ?
Input: $0.70 vs Custom per 1M tokens. Output: $1.40 vs Custom per 1M tokens.
What context windows do AionLabs: Aion-1.0-Mini and Qwen/Qwen2.5-32B-Instruct-AWQ support?
AionLabs: Aion-1.0-Mini supports up to 131K tokens. Qwen/Qwen2.5-32B-Instruct-AWQ supports up to Unknown tokens.
Do both AionLabs: Aion-1.0-Mini and Qwen/Qwen2.5-32B-Instruct-AWQ support tool calling?
AionLabs: Aion-1.0-Mini: not advertised. Qwen/Qwen2.5-32B-Instruct-AWQ: not advertised.