Hy-Backend 2.0 (Internal)

Hy-Backend 2.0 (Internal) is a benchmark for how well a model works as an autonomous coding agent. The official description says: "Tencent internal (Hy team) backend engineering benchmark, reported in the Hy4 preview model card appendix". Below we describe in simple words what benchmarks of this type generally examine.

Hy-Backend 2.0 (Internal) 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: Tencent internal (Hy team) backend engineering benchmark, reported in the Hy4 preview model card appendix.

What is the Hy-Backend 2.0 (Internal) benchmark?

Hy-Backend 2.0 (Internal) is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'Tencent internal (Hy team) backend engineering benchmark, reported in the Hy4 preview model card appendix'. Below we describe in simple words what benchmarks of this type generally examine.

What does Hy-Backend 2.0 (Internal) test?

Hy-Backend 2.0 (Internal) 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 Hy-Backend 2.0 (Internal) 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 Hy-Backend 2.0 (Internal) 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/hy-backend-2-0-internal/scores) or pull it directly from the Open LLM Radar API with any HTTP client.