Benchmark Almanac

CC-Bench-V2 Frontend

GLM-5 74.8%
Claude Opus 4.5 75.7% leads
Claude Opus 4.5 75.7% leads since February 2026
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Agents build web projects in HTML, React, Vue, Svelte and Next.js. A GUI judge agent tests each check item in the running app.

In-house Z.ai evaluation. Reported as build success, instance success and check-item success rates.

Made by
Zhipu AI (Z.ai)
Released
February 2026
Kind
Web and app front ends
Level
Expert
Scored
Graded by a model
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
2
Models scored in lab cards
1
Launch post lists it, from 1 lab
1
System card reports it, from 1 lab

GLM-5 leads with 74.8%

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.

Claude Opus 4.5 leads with 75.7% 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.

Claude Opus 4.5 leads with 75.7%, 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. 1 GLM-5 74.8%
  2. 2 GLM-5V-Turbo 68.4%

Source: Labs’ model cards

Source: Official CC-Bench-V2 Frontend leaderboard

Sources: Official CC-Bench-V2 Frontend leaderboard and labs’ model cards

#ModelScoreSettingDateSource
1 GLM-5 74.8% Feb 2026 Lab model card
2 GLM-5V-Turbo 68.4% Apr 2026 Lab model card
#ModelScoreSettingDateSource
1 Claude Opus 4.5 75.7% Nov 2025 Official leaderboard
2 GLM-5 74.8% Feb 2026 Official leaderboard
#ModelScoreSettingDateSource
1 Claude Opus 4.5 75.7% Nov 2025 Official leaderboard
2 GLM-5 74.8% Feb 2026 Official leaderboard
3 GLM-5V-Turbo 68.4% Apr 2026 Lab model card

The benchmark's own leaderboard has 2 models. Switch the scores above to rank them together.

Scores over time

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

On the benchmark’s own leaderboard Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.5 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 4.5

Sources: Official CC-Bench-V2 Frontend 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.

Z.ai
DateLaunch postScoreAs the post writes it
Apr 1, 2026 GLM-5V-Turbo 68.4 CC-Frontend 68.4

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.

DateDocumentScoreAs the document writes itSection
Feb 17, 2026 GLM-5 technical report 74.8 CC-Bench-V2 Frontend, End-to-End Correctness (Figure 4). Build Success Rate 98.0; per-stack ISR/CSR in 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.

Model Lab says Board says Gap
GLM-5 74.8% CC-Bench-V2 Frontend, End-to-End Correctness (Figure 4). Build Success Rate 98.0; per-stack ISR/CSR in Table 8 74.8% Leaderboard Same

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