CC-Bench-V2 Multi-Step Chained Tasks

GLM-5 52.3% Only in system cards

Agents complete chains of tasks mined from merged pull requests, where each step changes the codebase for the next. Tests check every step.

In-house Z.ai evaluation. Pass@1 on individual tasks.

Made by Zhipu AI (Z.ai) Released Feb 2026 Fixing real repositories Tasks kept private Last in a system card Feb 2026 Last model added Feb 2026

Level: Expert Specialists with years of training, often over hours of work
Scored: Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers: Agent task Many steps in a terminal, browser, desktop, app, game or robot.

Paper

Model scored in lab cards

System card reports it, from 1 lab

GLM-5 leads with 52.3%

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.

Bars Table

52.3 GLM-5

1 GLM-5 52.3%

#	Model	Score	Setting	Date	Source
1	GLM-5	52.3%		Feb 2026	Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card

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
17 Feb 2026	GLM-5 technical report	52.3	CC-Bench-V2 Long-horizon Chained Tasks, Pass@1 (Table 8)	Capabilities

GLM-5 leads with 52.3%

Scores over time

Labs report it only in system cards

One system card reports it

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