KVBench (Detailed Caption) - Math (Chinese): leaderboard
Metric: Checklist score (%) on the math prompts in Chinese, each given as a detailed caption that spells out the required visual content: KVBench knowledge-intensive text-to-image prompts from over 30 senior high-school textbooks (150 per subject and language, each with a textbook reference image); Qwen2.5-VL-32B-Instruct answers a checklist of four to six binary questions (key objects, attributes, spatial relations, reasoning outcomes) about each generated image, and the score is the mean share of satisfied items, in percent; higher is better. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 16 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-Image (KVBench checkpoint unspecified) | 49.4 |
| 2 | Nano Banana Pro (Gemini 3 Pro Image) | 47.8 |
| 3 | Seedream-4.0 | 44.01 |
| 4 | Z-Image | 38.13 |
| 5 | Gemini 2.5 Flash Image | 31.6 |
| 6 | FLUX.2-dev | 26.87 |
| 7 | FLUX.2-max | 17.17 |
| 8 | HiDream (KVBench checkpoint unspecified) | 14.79 |
| 9 | BAGEL-7B-MoT | 10.88 |
| 10 | Janus-Pro | 10.57 |
Interactive version: theaggregate.ai/benchmark?slug=kvbench-detailed-caption-math-chinese · How It Works · Data refreshed daily, snapshot 2026-10-07.