$OneMillion-Bench

$OneMillion-Bench is a benchmark for broad everyday usefulness across domains. The official description says: "$OneMillion-Bench - expert score". Below we describe in simple words what benchmarks of this type generally examine.

$OneMillion-Bench measures broad everyday usefulness across domains. In detail, it checks:

• realistic, open-ended requests from varied professional fields
• correct, well-structured and helpful responses
• consistent quality across very different task types
• judgement and advice quality, not just factual recall

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: $OneMillion-Bench - expert score. Evaluated using gemini-3.1-pro-preview.

What is the $OneMillion-Bench benchmark?

$OneMillion-Bench is a benchmark for broad everyday usefulness across domains. The official description says: '$OneMillion-Bench - expert score'. Below we describe in simple words what benchmarks of this type generally examine.

What does $OneMillion-Bench test?

$OneMillion-Bench mainly measures broad everyday usefulness across domains. Concretely, it checks: realistic, open-ended requests from varied professional fields; correct, well-structured and helpful responses; consistent quality across very different task types.

How is the $OneMillion-Bench score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Where do I get $OneMillion-Bench data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/onemillion-bench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.