CARV - Intersection (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 transformations common to 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-5.175#131
2Gemini 2.5 Pro62.8#145
3Gemini 2.5 Flash60.2#237
4Qwen 3 VL 8B (Thinking)56.8
5GPT-4o34#333
6Qwen 2.5 VL 32B Instruct30.4#443
7Qwen 3 VL 30B A3B Instruct18.4#365
8Qwen 3 VL 8B Instruct13.8#401
9Qwen 2.5 VL 7B Instruct10#643
10InternVL3-14B7.8#494
11InternVL3-8B5.6#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-intersection-same-source · How It Works · Data refreshed daily, snapshot 2026-10-11.