CARV - Difference (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 of one pair that the other lacks, both pairs starting from the same source image; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro59.4#145
2GPT-5.159#131
3Gemini 2.5 Flash41.4#237
4Qwen 3 VL 8B (Thinking)33.3
5GPT-4o25.6#333
6Qwen 2.5 VL 32B Instruct25.4#443
7Qwen 3 VL 30B A3B Instruct10.82#365
8InternVL3-14B4#494
9Qwen 3 VL 8B Instruct3.2#401
10InternVL3-8B3#606
11Qwen 2.5 VL 7B Instruct3#643

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

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