FrontierCS 2 - GPU K-Means Kernel Optimization: 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 Superseded attempts are not selected by score.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 2034. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (Max)53.79#5 (Claude Opus 5.5)
2Kimi K3 (High)52.92#33 (Kimi K3)
3Gemini 4 Argon (High)52.91#8 (Gemini 4 Argon)
4DeepSeek V4.1 Flash (Max)52.04#35 (DeepSeek V4.1 Flash)
5Muse Wonder (Max)48.36#15 (Muse Wonder)
6GLM-5.3 (Max)47.76#39 (GLM-5.3)
7DeepSeek V4.1 Flash (1017)47.44#27
8GLM-5.3 Flash (Max)46.1#72 (GLM-5.3 Flash)
9GPT-6 Astra (xHigh)45.35#6 (GPT-6 Astra)
10Muse Spark 1.3 (High)44.7#29 (Muse Spark 1.3)
11GPT-6.1 Sol (xHigh)44.58#7 (GPT-6.1 Sol)

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

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-gpu-k-means-kernel-optimization · How It Works · Data refreshed daily, snapshot 2026-10-26.