CC-Bench-V2 Large Repo Exploration
Agents locate a hidden target file in a large repository from a user-level question. A question counts as solved when the agent reads the file.
In-house Z.ai evaluation. Pass@1 averaged over three runs.
- Made by
- Zhipu AI (Z.ai)
- Released
- February 2026
- Kind
- Fixing real repositories
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- Claude Opus 4.5 #61 on the capability index
- Last in a launch post
- April 2026, dropped before it saturated
- Last model added
- April 2026
- Scores refreshed
- November 12th, 2026
GLM-5V-Turbo leads with 72.2%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
GLM-5 leads with 65.6% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
GLM-5V-Turbo leads with 72.2%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 1 GLM-5V-Turbo 72.2%
- 2 GLM-5 65.6%
Source: Labs’ model cards
- 1 GLM-5 65.6%
- 2 Claude Opus 4.5 64.5%
- 3 GLM-4.7 47.8%
Source: Official CC-Bench-V2 Large Repo Exploration leaderboard
- 1 GLM-5V-Turbo 72.2%
- 2 GLM-5 65.6%
- 3 Claude Opus 4.5 64.5%
- 4 GLM-4.7 47.8%
Sources: Labs’ model cards and official CC-Bench-V2 Large Repo Exploration leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-5V-Turbo | 72.2% | Apr 2026 | Lab model card | |
| 2 | GLM-5 | 65.6% | Feb 2026 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-5 | 65.6% | Feb 2026 | Official leaderboard | |
| 2 | Claude Opus 4.5 | 64.5% | Nov 2025 | Official leaderboard | |
| 3 | GLM-4.7 | 47.8% | Dec 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GLM-5V-Turbo | 72.2% | Apr 2026 | Lab model card | |
| 2 | GLM-5 | 65.6% | Feb 2026 | Official leaderboard | |
| 3 | Claude Opus 4.5 | 64.5% | Nov 2025 | Official leaderboard | |
| 4 | GLM-4.7 | 47.8% | Dec 2025 | Official leaderboard |
The benchmark's own leaderboard has 3 models. Switch the scores above to rank them together.
Number one over time 2 models have held number one across all independent runs since its release in February 2026 3 models have held number one with claims included since its release in February 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official CC-Bench-V2 Large Repo Exploration leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official CC-Bench-V2 Large Repo Exploration leaderboard and labs’ model cards
Labs headline it less often now, last in April 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Apr 1, 2026 | GLM-5V-Turbo | 72.2 | CC-Repo-Exploration 72.2 |
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Feb 17, 2026 | GLM-5 technical report | 65.6 | CC-Bench-V2 Long-horizon Repo Exploration, Pass@1 (Table 8) | Capabilities |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. 1 of them match, which usually means one side copied the other. Every benchmark.
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