Alogos - Testing the reasoning reliability of agentic AI systems
Alogos Quality Index (AQI)
The AQI is our benchmark for reasoning reliability across large language models. It is computed daily using our proprietary formula, based on systematic calls to the APIs of leading LLMs. The AQI highlights fluctuations in reasoning accuracy, helping users choose models with greater stability and reliability.
Models AQI Score on
- OpenAI/gpt-5-mini:
83 - Google/gemini-2.5-pro:
80 - Mistral/mistral-medium:
43
The problem
Today's AI systems generate fluent answers and perform complex tasks, but their reasoning often hides errors. Even small inaccuracies can compound, leading to failures in planning and decision-making.
Our solution
We develop testing methods designed specifically for systems that think in language and reason under uncertainty. By combining border case testing, model-based QA, and ontological modeling, we uncover hidden weaknesses in LLM-based AI systems and help make them more reliable.