FrontierCS 2 - MetaOpt Combined-TE Gap Search: 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 Superseded attempts are not selected by score.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: Around 2029. 14 models tracked.

Top models

#ModelScoreOverall rank
1GPT-6 Astra (xHigh)52.05#6 (GPT-6 Astra)
2Claude Opus 5.5 (Max)52.05#5 (Claude Opus 5.5)
3GPT-6.1 Sol (xHigh)51.97#7 (GPT-6.1 Sol)
4DeepSeek V4.1 Flash (Max)51.93#35 (DeepSeek V4.1 Flash)
5Kimi K3 (High)51.09#33 (Kimi K3)
6GLM-5.3 (Max)49.88#39 (GLM-5.3)
7Muse Wonder (Max)49.83#15 (Muse Wonder)
8DeepSeek V4.1 Flash (1017)48.08#27
9Gemini 4 Argon (High)0#8 (Gemini 4 Argon)
10GLM-5.3 Flash (Max)0#72 (GLM-5.3 Flash)
11Muse Spark 1.3 (High)0#29 (Muse Spark 1.3)

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

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-metaopt-combined-te-gap-search · How It Works · Data refreshed daily, snapshot 2026-10-26.