FrontierCS 2 - Register-aware Branch Prediction: 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 Superseded attempts are not selected by score.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 2038. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (Max)31.27#5 (Claude Opus 5.5)
2Gemini 4 Argon (High)31.21#8 (Gemini 4 Argon)
3GPT-6 Astra (xHigh)31.18#6 (GPT-6 Astra)
4GPT-6.1 Sol (xHigh)31.14#7 (GPT-6.1 Sol)
5GLM-5.3 Flash (Max)31.13#72 (GLM-5.3 Flash)
6Kimi K3 (High)31.08#33 (Kimi K3)
7DeepSeek V4.1 Flash (Max)31.06#35 (DeepSeek V4.1 Flash)
8Muse Wonder (Max)31.06#15 (Muse Wonder)
9DeepSeek V4.1 Flash (1017)31.04#27
10Muse Spark 1.3 (High)30.96#29 (Muse Spark 1.3)
11GLM-5.3 (Max)30.9#39 (GLM-5.3)

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

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-register-aware-branch-prediction · How It Works · Data refreshed daily, snapshot 2026-10-26.