VideoGAIA: leaderboard

VideoGAIA (2026) is an agentic video-understanding benchmark of 271 human-verified tasks in which a model inspects a video, searches the web, visits pages and re-samples frames over up to 40 steps to answer a question. Pass@1 accuracy in percent against the reference answer, judged by GPT-5.5 and averaged over three runs; higher is better. All models share one ReAct agent loop, tools and frame budget.

Metric: Pass@1 accuracy (%; all 271 tasks; unified ReAct agent loop: 20 uniformly sampled frames plus web search, page visit and a thinking-with-videos tool that samples up to 20 more frames from a chosen segment, at most 40 steps; answers judged against the human-verified reference by GPT-5.5 (DeepSeek-V4-Pro fallback); mean of three runs). Source: arxiv.org. Saturation forecast: Not forecast. 20 models tracked.

Top models

#ModelScoreOverall rank
1Seed 2.0 Pro58.3#209
2Qwen 3.7 Plus56.09#203
3Kimi K354.61#53
4GPT-5.553.14#48
5Kimi K2.652.77#173
6GPT-5.452.03#121
7Qwen 3.5 Plus52.03#227
8Gemini 3.1 Pro (Preview)50.92#91
9GPT-5.250.92#172
10Qwen 3.5 397B A17B50.18#242
11Qwen 3.8 Max50.18#55
12GLM-5V Turbo50.18#342
13Kimi K2.549.82#252
14Qwen 3.6 Plus49.08#217
15MiMo-V2.548.71#353

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=videogaia · How It Works · Data refreshed daily, snapshot 2026-11-12.