AA-Omniscience v1.1
Not in model cards
Models answer 3,000 knowledge questions in six domains without tools and may abstain. The index adds correct answers and subtracts wrong ones.
Artificial Analysis says v1.1 scores are not comparable with v1.0. It dropped saturated and public questions, fixed errors and halved the set to 3,000. The public split has 300 questions.
Made by Artificial Analysis Released Oct 2026 Short factual questions Public tasks plus a private test set
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Short answer A number, word or short string matched to a key.
No scores here yet
Artificial Analysis doesn’t allow reuse of its data, so we link to its board instead.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
Versions
More in Factuality
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Nemotron 3.5 Bolt E4B 40.7% - Kimi Hallu Bench In use Models answer hard prompts drawn from practical work tasks. Fact-checking agents score the share of claims that are hallucinated. Kimi K3.1 Pro 8.30%
- RAGTruth In use A word-level annotated corpus of hallucinations in retrieval-augmented generation answers. It is used to train and evaluate hallucination detection and RAG faithfulness. Nemotron 3.5 Bolt E4B 77.9%