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 DeepSeek: R1
AionLabs: Aion-1.0-Mini wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model & [technical report](h…
Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0-Mini | DeepSeek: R1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 64K | 🏆 AionLabs: Aion-1.0-Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $0.70 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.40 | $2.50 | 🏆 AionLabs: Aion-1.0-Mini |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 DeepSeek: R1 |
| 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 DeepSeek: R1?
AionLabs: Aion-1.0-Mini wins on 2 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 DeepSeek: R1?
Input: $0.70 vs $0.70 per 1M tokens. Output: $1.40 vs $2.50 per 1M tokens.
What context windows do AionLabs: Aion-1.0-Mini and DeepSeek: R1 support?
AionLabs: Aion-1.0-Mini supports up to 131K tokens. DeepSeek: R1 supports up to 64K tokens.
Do both AionLabs: Aion-1.0-Mini and DeepSeek: R1 support tool calling?
AionLabs: Aion-1.0-Mini: not advertised. DeepSeek: R1: yes.