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 Xiaomi: MiMo-V2.5
Xiaomi: MiMo-V2.5 wins on 5 of 6 axes — pricing and capability skew in its favour for most workloads.
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0-Mini | Xiaomi: MiMo-V2.5 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 1.1M | 🏆 Xiaomi: MiMo-V2.5 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $0.14 | 🏆 Xiaomi: MiMo-V2.5 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.40 | $0.28 | 🏆 Xiaomi: MiMo-V2.5 |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Xiaomi: MiMo-V2.5 |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Xiaomi: MiMo-V2.5 |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is AionLabs: Aion-1.0-Mini better than Xiaomi: MiMo-V2.5?
Xiaomi: MiMo-V2.5 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-Mini and Xiaomi: MiMo-V2.5?
Input: $0.70 vs $0.14 per 1M tokens. Output: $1.40 vs $0.28 per 1M tokens.
What context windows do AionLabs: Aion-1.0-Mini and Xiaomi: MiMo-V2.5 support?
AionLabs: Aion-1.0-Mini supports up to 131K tokens. Xiaomi: MiMo-V2.5 supports up to 1.1M tokens.
Do both AionLabs: Aion-1.0-Mini and Xiaomi: MiMo-V2.5 support tool calling?
AionLabs: Aion-1.0-Mini: not advertised. Xiaomi: MiMo-V2.5: yes.