FrontierCS 2 - BBQ bitmap traversal: 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 Superseded attempts are not selected by score.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 August 2028. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (Max)42.21#5 (Claude Opus 5.5)
2GPT-6 Astra (xHigh)40.41#6 (GPT-6 Astra)
3Gemini 4 Argon (High)37.36#8 (Gemini 4 Argon)
4GPT-6.1 Sol (xHigh)36.68#7 (GPT-6.1 Sol)
5Muse Spark 1.3 (High)20.24#29 (Muse Spark 1.3)
6Kimi K3 (High)19.03#33 (Kimi K3)
7DeepSeek V4.1 Flash (1017)18.81#27
8Muse Wonder (Max)17.88#15 (Muse Wonder)
9DeepSeek V4.1 Flash (Max)15.48#35 (DeepSeek V4.1 Flash)
10GLM-5.3 Flash (Max)8.2#72 (GLM-5.3 Flash)
11GLM-5.3 (Max)0#39 (GLM-5.3)

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

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