FrontierCS 2 - OCR Distillation Trajectory Sampling: 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 Superseded attempts are not selected by score.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: Not forecast. 14 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5.3 (Max)86.13#39 (GLM-5.3)
2Kimi K3 (High)75.06#33 (Kimi K3)
3DeepSeek V4.1 Flash (Max)74.43#35 (DeepSeek V4.1 Flash)
4GPT-6 Astra (xHigh)72.76#6 (GPT-6 Astra)
5Gemini 4 Argon (High)72.13#8 (Gemini 4 Argon)
6DeepSeek V4.1 Flash (1017)63.81#27
7Muse Spark 1.3 (High)63.15#29 (Muse Spark 1.3)
8GPT-6.1 Sol (xHigh)61.6#7 (GPT-6.1 Sol)
9Muse Wonder (Max)57.93#15 (Muse Wonder)
10Claude Opus 5.5 (Max)55.91#5 (Claude Opus 5.5)
11GLM-5.3 Flash (Max)0#72 (GLM-5.3 Flash)

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

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-ocr-distillation-trajectory-sampling · How It Works · Data refreshed daily, snapshot 2026-10-26.