FrontierCS 2 - GPU Brute-Force k-NN 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 Superseded attempts are not selected by score.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 2030. 14 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.5 (Max)51.81#5 (Claude Opus 5.5)
2Gemini 4 Argon (High)47.62#8 (Gemini 4 Argon)
3GPT-6.1 Sol (xHigh)46.77#7 (GPT-6.1 Sol)
4GPT-6 Astra (xHigh)46.15#6 (GPT-6 Astra)
5DeepSeek V4.1 Flash (1017)44.75#27
6DeepSeek V4.1 Flash (Max)42.88#35 (DeepSeek V4.1 Flash)
7GLM-5.3 Flash (Max)42.43#72 (GLM-5.3 Flash)
8Muse Wonder (Max)41.56#15 (Muse Wonder)
9GLM-5.3 (Max)35.1#39 (GLM-5.3)
10Kimi K3 (High)31.06#33 (Kimi K3)
11Muse Spark 1.3 (High)25#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-gpu-brute-force-k-nn-kernel-optimization · How It Works · Data refreshed daily, snapshot 2026-10-26.