OmniScience Non-Hallucination
OmniScience Non-Hallucination - scientific knowledge non-hallucination rate benchmark.
Category
Knowledge
Score type
percent
Scale
100%
higher is better
Models tested
7
What is OmniScience Non-Hallucination?
OmniScience Non-Hallucination is a benchmark for broad factual and academic knowledge. The official description says: "OmniScience Non-Hallucination - scientific knowledge non-hallucination rate benchmark". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
OmniScience Non-Hallucination measures broad factual and academic knowledge. In detail, it checks:
- facts and concepts from many academic fields at once
- harder variants with several plausible answer options
- knowledge that goes beyond the model's training-set surface forms
- resisting the plausible-but-wrong answers deliberately included
How to read the score
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: OmniScience Non-Hallucination - scientific knowledge non-hallucination rate benchmark.
Frequently asked questions
What is the OmniScience Non-Hallucination benchmark?
OmniScience Non-Hallucination is a benchmark for broad factual and academic knowledge. The official description says: 'OmniScience Non-Hallucination - scientific knowledge non-hallucination rate benchmark'. Below we describe in simple words what benchmarks of this type generally examine.
What does OmniScience Non-Hallucination test?
OmniScience Non-Hallucination mainly measures broad factual and academic knowledge. Concretely, it checks: facts and concepts from many academic fields at once; harder variants with several plausible answer options; knowledge that goes beyond the model's training-set surface forms.
How is the OmniScience Non-Hallucination score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get OmniScience Non-Hallucination 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/omniscience-non-hallucination/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Benchmark dataset
The question/task data itself — download and evaluate locally
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 7 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
LFM3-1.7B
LiquidAI
|
92.93%
|
— | Report | Verified |
| 2 |
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16
NVIDIA
|
78.7%
|
04.06.2026 | Report | Verified |
| 3 |
Kimi K2.6
Moonshot AI
|
67.1%
|
04.06.2026 | Report | Unverified |
| 4 |
NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB
NVIDIA
|
61.27%
|
15.10.2026 | Report | Verified |
| 5 |
Kolibri-1
Aleph Alpha
|
44%
|
03.10.2026 | Report | Verified |
| 6 |
DeepSeek-V4-Pro
DeepSeek
|
5.7%
|
04.06.2026 | Report | Unverified |
| 7 |
DeepSeek-V4-Flash
DeepSeek
|
2.8%
|
04.06.2026 | Report | Unverified |