RepoBench
RepoBench is a benchmark for evaluating repository-level code auto-completion systems through three interconnected tasks: RepoBench-R (retrieval of relevant code snippets across files), RepoBench-C (code completion with cross-file and in-file context), and RepoBench-P (pipeline combining retrieval and prediction). Supports Python and Java programming languages and addresses the gap in evaluating real-world, multi-file programming scenarios by providing a more complete comparison of performance in auto-completion systems.
Codestral-22B from Mistral AI currently leads the RepoBench leaderboard with a score of 0.340 across 1 evaluated AI models.
Codestral-22B leads with 34.0%.
Progress Over Time
Interactive timeline showing model performance evolution on RepoBench
RepoBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Mistral AI | 22B | — | — |
FAQ
Common questions about RepoBench.
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