LLM Reference
GAOKAOactive

GAOKAO

Metric: Accuracy (higher is better)Introduced: 2023

About

Evaluation benchmark using questions from China's college entrance examination (Gaokao) across math, language arts, science, and social studies.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 72.2 – 43.9.

Window

May 20

single timestamp

Mean delta

No trend

need another snapshot

Coverage

11

models in latest snapshot

Leaderboard preview (top 5)

  1. 1. GPT-472.2
  2. 2. Gemini 1.0 Pro57.9
  3. 3. ERNIE Bot56.6
  4. 4. GPT-3.5 Turbo53.2
  5. 5. Baichuan 2 13B Chat43.9