agents benchmark
CC-Bench-V2 Repo Exploration Leaderboard
CC-Bench-V2 Repo Exploration evaluates coding agents on repository-level understanding and navigation.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
CC-Bench-V2 Repo Exploration Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelZA | Score72.20% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
CC-Bench-V2 Repo Exploration Highlights
The leading models and scores on this benchmark.
The Top AI Models for CC-Bench-V2 Repo Exploration
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis cc-bench-v2 repo exploration AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ZAZhipu AI
- Score
- 72.20%
- Price
- $5.0 input / $22 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures CC-Bench-V2 Repo Exploration, not total model capability
Selection summary
Best AI Models for CC-Bench-V2 Repo Exploration
GLM-5V-Turbo currently leads CC-Bench-V2 Repo Exploration with 72.20%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is CC-Bench-V2 Repo Exploration?
What CC-Bench-V2 Repo Exploration measures and how its scores work.
CC-Bench-V2 Repo Exploration is a benchmark for coding agents working with entire codebases.
It measures the ability to explore, comprehend, and work across entire codebases using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- CC-Bench-V2 Repo Exploration
- Modality
- text
- Primary category
- agents
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about CC-Bench-V2 Repo Exploration.
Which model scores highest on CC-Bench-V2 Repo Exploration?
GLM-5V-Turbo is currently ranked first with 72.20%.
What are the top three models on CC-Bench-V2 Repo Exploration?
The current leaders are GLM-5V-Turbo (72.20%).
Which CC-Bench-V2 Repo Exploration model has the lowest official input price?
GLM-5V-Turbo has the lowest matched official input price at $5.0 input / $22 output per 1M tokens.
Which models are fastest among CC-Bench-V2 Repo Exploration results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.