PRISM-Vision
2 Benchmarks
Visual Understanding & Reasoning
Frontier evaluation of multimodal vision-language models — perception under adverse conditions, forensic detection of AI-generated media, and grounded scene reasoning across real-world expert workflows.
Low-Light Videos · Visual Understanding Under Extreme Darkness
Low-light VLM evaluation on 80 BVI-Lowlight video pairs (10–20% illumination) — 5 frontier models, 9 metrics covering object recognition, scene understanding, contextual similarity, BERTScore F1, object precision/recall/F1, and object count MAE.
Model Rankings
Overall Accuracy · higher = better
Scatter Plot
Full Model Comparison
PROVIDER | MODEL | OVERALL ACCURACY | CONTEXTUAL SIMILARITY (/10) | OBJECT RECOGNITION (/10) | SCENE UNDERSTANDING (/10) | BERTSCORE F1 | OBJECT F1 | SCENE F1 | AVG F1 | LATENCY (S) |
|---|---|---|---|---|---|---|---|---|---|---|
| x-ai | grok-4-lowlight | 79.5 | 5.1 | 5.7 | 5.4 | 87.89 | 66.5 | 73.1 | 68.3 | 2.34 |
| openai | gpt-4o-lowlight | 63.7 | 6.4 | 6.7 | 5.9 | 89.46 | 80.4 | 65.4 | 71.3 | 2.49 |
| Qwen | Qwen2.5-VL-32B-lowlight | 58.1 | 5.5 | 6 | 5.7 | 89.1 | 66.1 | 48 | 54.4 | 3.3 |
| nvidia | Cosmos-Reason2-8B-lowlight | 52.1 | 4.8 | 5 | 5.7 | 89 | 74.8 | 30.1 | 40.1 | 6.3 |
| nvidia | Cosmos-Reason1-7B-lowlight | 41.7 | 4.6 | 3.6 | 4.6 | 87.62 | 69.2 | 37.9 | 47.3 | 5.1 |
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