FrontierCode 2.0

FrontierCode 2.0 is a benchmark for how well a model works as an autonomous coding agent. The official description says: "Cognition private benchmark assessing end-to-end code quality and whether a repository maintainer would merge the agent's change". Below we describe in simple words what benchmarks of this type generally examine.

FrontierCode 2.0 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: Cognition private benchmark assessing end-to-end code quality and whether a repository maintainer would merge the agent's change. Mistral blog: Mistral Large 4 leads with 19.7%.

What is the FrontierCode 2.0 benchmark?

FrontierCode 2.0 is a benchmark for how well a model works as an autonomous coding agent. The official description says: 'Cognition private benchmark assessing end-to-end code quality and whether a repository maintainer would merge the agent's change'. Below we describe in simple words what benchmarks of this type generally examine.

What does FrontierCode 2.0 test?

FrontierCode 2.0 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 FrontierCode 2.0 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 FrontierCode 2.0 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/frontiercode-2-0/scores) or pull it directly from the Open LLM Radar API with any HTTP client.