Benchmark

Gaokao 2026

Category

—

Score type

percent

Scale

relative

higher is better

Models tested

7

What is Gaokao 2026?

Gaokao 2026 uses China's national college entrance examination (Gaokao) as a benchmark. The exam covers Chinese, mathematics, English and science subjects and is extremely difficult and broad. The score shows how well a model masters a realistic, very demanding curriculum-based test.

What does it test?

Gaokao 2026 measures the abilities the benchmark was built to measure. In detail, it checks:

  • curriculum knowledge across many Chinese school subjects
  • Chinese-language reading comprehension and essay-level content
  • math and science problem solving under exam conditions
  • broad coverage rather than one specialised skill

How to read the score

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Frequently asked questions

What is the Gaokao 2026 benchmark?

Gaokao 2026 uses China's national college entrance examination (Gaokao) as a benchmark. The exam covers Chinese, mathematics, English and science subjects and is extremely difficult and broad. The score shows how well a model masters a realistic, very demanding curriculum-based test.

What does Gaokao 2026 test?

Gaokao 2026 mainly measures the abilities the benchmark was built to measure. Concretely, it checks: curriculum knowledge across many Chinese school subjects; Chinese-language reading comprehension and essay-level content; math and science problem solving under exam conditions.

How is the Gaokao 2026 score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Where do I get Gaokao 2026 data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/gaokao-2026/scores) or pull it directly from the Open LLM Radar API with any HTTP client.

Model scores 7 models tested

Reset
# Model Score Date Source Verified
1 Spark-X2.5-4B
SparkLLM (XHToken)
133.4%
— Report Verified
2 Gemma4-12B
Google
130.6%
— Report Verified
3 Qwen3.5-4B
Qwen
130.3%
— Report Verified
4 Spark-X2.5-1.7B
SparkLLM (XHToken)
114.8%
— Report Verified
5 Gemma4-E4B
Google
102.4%
— Report Verified
6 Qwen3.5-2B
Qwen Team (Alibaba Cloud)
94%
— Report Verified
7 Gemma4-E2B
Google
81.8%
— Report Verified

What now?

You've seen how models score on Gaokao 2026 — here's what to do next.