CARV - Union (Same Source): leaderboard

Metric: Accuracy (%) on 500 CARV visual analogy tasks (controlled scenes of everyday items and furniture, edited with Gemini-2.5 Flash Image; the model writes a caption of the answer image, and a GPT-4o evaluator checks it against the ground-truth image), direct prompting: apply the union of the transformations of two image pairs that start from the same source image; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.164.6#131
2Gemini 2.5 Pro51.6#145
3Gemini 2.5 Flash49.4#237
4Qwen 3 VL 8B (Thinking)33.6
5GPT-4o27.2#333
6Qwen 3 VL 30B A3B Instruct21.7#365
7Qwen 2.5 VL 32B Instruct18.6#443
8Qwen 2.5 VL 7B Instruct9#643
9Qwen 3 VL 8B Instruct5#401
10InternVL3-14B1.4#494
11InternVL3-8B0.6#606

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=carv-union-same-source · How It Works · Data refreshed daily, snapshot 2026-10-11.