FrontierCS 2 - Progent Privilege Control: leaderboard

FrontierCS 2 selected formal runs on 48 research engineering tasks, with each source-native coding harness. Paper v1 Table 3 fixes the effort settings; the subsequently added DeepSeek 1017 row leaves effort unspecified. Superseded attempts are not selected by score. Native bounded task scores are distinct from human-reference margins and from pass/fail verdicts. Explicit failed-run zeroes remain zero; unreported scores remain missing. Metric: Task score (0–100).

Metric: Task score (0–100). Source: frontier-cs.org. Saturation forecast: Not forecast. 14 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)56.88#8 (Gemini 4 Argon)
2DeepSeek V4.1 Flash (Max)55.75#35 (DeepSeek V4.1 Flash)
3Claude Opus 5.5 (Max)55.39#5 (Claude Opus 5.5)
4DeepSeek V4.1 Flash (1017)49.32#27
5GLM-5.3 Flash (Max)48.72#72 (GLM-5.3 Flash)
6Muse Wonder (Max)47.59#15 (Muse Wonder)
7Muse Spark 1.3 (High)46.54#29 (Muse Spark 1.3)
8GLM-5.3 (Max)44.73#39 (GLM-5.3)
9Kimi K3 (High)43.17#33 (Kimi K3)
10GPT-6.1 Sol (xHigh)36.83#7 (GPT-6.1 Sol)
11GPT-6 Astra (xHigh)36.15#6 (GPT-6 Astra)

No result here: #9 Claude Fable 5.1, #10 Muse Wonder Full.

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-progent-privilege-control · How It Works · Data refreshed daily, snapshot 2026-10-26.