GAOKAO-MM
About
Multimodal extension of GAOKAO with text+image questions from Chinese college entrance exams, evaluating vision-language model capabilities.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.
How to read this benchmark
This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.
Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.
Trust when:
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- Model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Don't trust when:
- There is only one benchmark snapshot or the dataset appears stale.
- Benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Current modeled score band for tracked entries is roughly 48.1 – 18.0.
Window
Feb 23
single timestamp
Mean delta
No trend
need another snapshot
Coverage
7
models in latest snapshot
Leaderboard preview (top 5)
- 1. GPT-4 Vision Preview48.1
- 2. Qwen-VL-Plus41.2
- 3. Gemini 1.0 Pro Vision35.1
- 4. InternLM XComposer2 VL 7B33.2
- 5. LLaVA 1.5 13B18.0