EVID-Bench - Magnitude Manipulation: leaderboard
Metric: Point-level accuracy (%) on the 23 magnitude manipulation videos (multi-source editing: footage spliced to exaggerate scale), using the retrieval-augmented verification pipeline of the paper (chain-of-thought analysis, up to six YouTube search-verify-reflect rounds, 64 frames at 480p, temperature 0); each video has 3 to 5 annotated misinformation points, matched by a majority of three LLM judges; mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 98.91 |
| 2 | Claude Opus 4.6 | 96.74 |
| 3 | GPT-5.4 | 95.65 |
| 4 | Claude Sonnet 4.6 | 94.57 |
| 5 | Qwen 3.5 Plus | 88 |
| 6 | GPT-5.4 Mini | 85.87 |
| 7 | Gemini 3.1 Pro (Preview) | 82.6 |
| 8 | Gemini 3 Flash | 80.4 |
| 9 | Qwen 3 VL 235B A22B Instruct | 73.9 |
Interactive version: theaggregate.ai/benchmark?slug=evid-bench-magnitude-manipulation · How It Works · Data refreshed daily, snapshot 2026-09-29.