CC-Bench-V2 Repo Exploration
CC-Bench-V2 Repo Exploration evaluates coding agents on repository-level understanding and navigation, measuring ability to explore, comprehend, and work across entire codebases.
GLM-5V-Turbo from Zhipu AI currently leads the CC-Bench-V2 Repo Exploration leaderboard with a score of 0.722 across 1 evaluated AI models.
What CC-Bench-V2 Repo Exploration measures
CC-Bench-V2 Repo Exploration is a text benchmark that evaluates large language models on agents and coding tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.7, with the leader reaching 0.7.
Compare leaders on the best AI for agents and best AI for coding leaderboards.
GLM-5V-Turbo leads with 72.2%.
Progress Over Time
Interactive timeline showing model performance evolution on CC-Bench-V2 Repo Exploration
CC-Bench-V2 Repo Exploration Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Zhipu AI | — | — | — |
FAQ
Common questions about CC-Bench-V2 Repo Exploration.
More evaluations to explore
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