CC-Bench
Only in system cards
Claude Code runs realistic frontend, backend, tooling and data coding tasks in fresh containers. Humans compare models head-to-head (win rate).
Lab-created in-house eval (Zhipu/Z.ai). V1.x questions and trajectories on HF, but task environments are not released. CC-Bench-V2 (GLM-5) is internal.
Made by Zhipu AI (Z.ai) Released Jul 2025 Building whole projects Last in a system card Aug 2025
Last model added Aug 2025
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Ranked by votes People pick the better of two answers, as in an arena, and the votes are turned into ratings.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
1
System card reports it, from 1 lab
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for CC-Bench yet.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
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 |
|---|---|---|---|---|
| 8 Aug 2025 | GLM-4.5 technical report | CC-Bench head-to-head, win rate vs Claude Sonnet 4 40.4%, vs Kimi K2 53.9%, vs Qwen3-Coder 80.8% (Figure 12, text), no overall score. Tool calling success 90.6% (Figure 13) | Capabilities |
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