AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

CRAG

CRAG (Comprehensive RAG Benchmark) is a factual question answering benchmark consisting of 4,409 question-answer pairs across 5 domains (finance, sports, music, movie, open domain) and 8 question categories. The benchmark includes mock APIs to simulate web and Knowledge Graph search, designed to represent the diverse and dynamic nature of real-world QA tasks with temporal dynamism ranging from years to seconds. It evaluates retrieval-augmented generation systems for trustworthy question answering.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 3

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Nova Pro0.503Not recordedNot recorded2024-11-20 · model_announcementLLM Stats
Nova Lite0.438Not recordedNot recorded2024-11-20 · model_announcementLLM Stats
Nova Micro0.431Not recordedNot recorded2024-11-20 · model_announcementLLM Stats