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 OpenAI: GPT-5.5
OpenAI: GPT-5.5 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
Model details →Side-by-side comparison
| Capability | AionLabs: Aion-1.0-Mini | OpenAI: GPT-5.5 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 1.1M | 🏆 OpenAI: GPT-5.5 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.70 | $5.00 | 🏆 AionLabs: Aion-1.0-Mini |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.40 | $30.00 | 🏆 AionLabs: Aion-1.0-Mini |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 OpenAI: GPT-5.5 |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5.5 |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is AionLabs: Aion-1.0-Mini better than OpenAI: GPT-5.5?
OpenAI: GPT-5.5 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 OpenAI: GPT-5.5?
Input: $0.70 vs $5.00 per 1M tokens. Output: $1.40 vs $30.00 per 1M tokens.
What context windows do AionLabs: Aion-1.0-Mini and OpenAI: GPT-5.5 support?
AionLabs: Aion-1.0-Mini supports up to 131K tokens. OpenAI: GPT-5.5 supports up to 1.1M tokens.
Do both AionLabs: Aion-1.0-Mini and OpenAI: GPT-5.5 support tool calling?
AionLabs: Aion-1.0-Mini: not advertised. OpenAI: GPT-5.5: yes.