Z.ai Code Bench

Z.ai Code Bench is a benchmark for how well a model works as an autonomous coding agent. The official description says: "Z.AI's in-house coding benchmark for the GLM series". Below we describe in simple words what benchmarks of this type generally examine.

Z.ai Code Bench measures how well a model works as an autonomous coding agent. In detail, it checks:

• fixing real, open bugs from real software repositories
• planning multi-step changes, running commands and editing files by itself
• passing the project's test suite after its changes
• handling whole repositories, not just small isolated code snippets

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

Official methodology note: Z.AI's in-house coding benchmark for the GLM series. GLM-5.3 shows a 50% relative improvement over GLM-5.2; absolute scores are not published on the model card, so no scores are recorded.

What is the Z.ai Code Bench benchmark?

Z.ai Code Bench is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'Z.AI's in-house coding benchmark for the GLM series'. Below we describe in simple words what benchmarks of this type generally examine.

What does Z.ai Code Bench test?

Z.ai Code Bench mainly measures how well a model works as an autonomous coding agent. Concretely, it checks: fixing real, open bugs from real software repositories; planning multi-step changes, running commands and editing files by itself; passing the project's test suite after its changes.

How is the Z.ai Code Bench score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get Z.ai Code Bench 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/z-ai-code-bench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.