FACTS Benchmark Suite D
AI benchmark · Knowledge
What is FACTS Benchmark Suite?
FACTS Benchmark Suite measures the factual accuracy of LLMs across grounding in documents, image-based questions, internal parametric knowledge, and search-assisted answering.
General capability mostly
“FACTS Benchmark Suite: Systematically evaluating the factuality of large language models”
deepmind.google/blog/facts-benchmark-suite-systematically-ev… ↗“A Multimodal Benchmark that tests a model's ability to answer prompts related to input images in a factually correct manner.”
deepmind.google/blog/facts-benchmark-suite-systematically-ev… ↗
Who built FACTS Benchmark Suite
Led by Google DeepMind (with Kaggle).
Tier D
Long tail: little or no usage data yet.
How much stands behind a tier: usage, who backs it, a confirmed line from its own site or paper, and a clear read on X. High with three of the four, medium with two, low otherwise.
- no usage data
- in curated RL directories (1 pt)
How we got to tier D
- Adoption: no usage data. Tier D.
- Not yet read on X.
- In curated RL directories: 1 point, a floor of none.
- Confirmed: a line from its own site or paper places it.
A clear view on X moves a tier one step up or down; most entries don't move. How tiers work.
Where FACTS Benchmark Suite sits
Its domain on the map, live. Hover a logo for its name; click to open it. Open it on the full map
Next: browse all benchmarks. Entry from the RL Research daily scrape of public sources, 2026-10-21 snapshot.