FrontierCS 2 - Bounded EVM Path 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 Superseded attempts are not selected by score.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 July 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)81.47#8 (Gemini 4 Argon)
2Claude Opus 5.5 (Max)81.35#5 (Claude Opus 5.5)
3DeepSeek V4.1 Flash (1017)81.18#27
4GPT-6.1 Sol (xHigh)81.18#7 (GPT-6.1 Sol)
5Muse Spark 1.3 (High)81.18#29 (Muse Spark 1.3)
6GPT-6 Astra (xHigh)81.17#6 (GPT-6 Astra)
7DeepSeek V4.1 Flash (Max)81.14#35 (DeepSeek V4.1 Flash)
8GLM-5.3 Flash (Max)81.12#72 (GLM-5.3 Flash)
9Muse Wonder (Max)81.07#15 (Muse Wonder)
10Kimi K3 (High)81.04#33 (Kimi K3)
11GLM-5.3 (Max)54.61#39 (GLM-5.3)

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

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