Workspace Bench

Workspace Bench is a benchmark for the abilities the benchmark was built to measure. It was built to compare language models on a clearly defined set of tasks under the same grading rules, so scores are directly comparable between models.

Workspace Bench measures the abilities the benchmark was built to measure. In detail, it checks:

• tasks representative of the benchmark's stated purpose
• consistent scoring rules so models can be compared fairly
• difficulty calibrated so top models do not max out easily

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

What is the Workspace Bench benchmark?

Workspace Bench is a benchmark for the abilities the benchmark was built to measure. It was built to compare language models on a clearly defined set of tasks under the same grading rules, so scores are directly comparable between models.

What does Workspace Bench test?

Workspace Bench mainly measures the abilities the benchmark was built to measure. Concretely, it checks: tasks representative of the benchmark's stated purpose; consistent scoring rules so models can be compared fairly; difficulty calibrated so top models do not max out easily.

How is the Workspace 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.

Where do I get Workspace 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/workspace-bench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.