MotionBench (dev)
MotionBench (dev) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column. MotionBench dev split; no inventory record.
Category
Video Understanding
Score type
percent
Scale
100%
higher is better
Models tested
1
What is MotionBench (dev)?
MotionBench (dev) is a benchmark for understanding videos instead of static images. The official description says: "MotionBench (dev) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
MotionBench (dev) measures understanding videos instead of static images. In detail, it checks:
- following events, actions and their order across time
- answering questions about long videos (with and without subtitles)
- reasoning about what happened and why, not just single frames
- integrating audio/subtitle context with the visual stream
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: MotionBench (dev) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column. MotionBench dev split; no inventory record.
Frequently asked questions
What is the MotionBench (dev) benchmark?
MotionBench (dev) is a benchmark for understanding videos instead of static images. The official description says: 'MotionBench (dev) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column'. Below we describe in simple words what benchmarks of this type generally examine.
What does MotionBench (dev) test?
MotionBench (dev) mainly measures understanding videos instead of static images. Concretely, it checks: following events, actions and their order across time; answering questions about long videos (with and without subtitles); reasoning about what happened and why, not just single frames.
How is the MotionBench (dev) 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 MotionBench (dev) 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/motionbench-dev/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.
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
LFM3-VL-2B
LiquidAI
|
64%
|
— | Report | Verified |