FrontierCS 2 - Robust Image Tokenizer: 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 Superseded attempts are not selected by score.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
1Gemini 4 Argon (High)78.29#8 (Gemini 4 Argon)
2Claude Opus 5.5 (Max)75.53#5 (Claude Opus 5.5)
3DeepSeek V4.1 Flash (Max)73.47#35 (DeepSeek V4.1 Flash)
4DeepSeek V4.1 Flash (1017)73.4#27
5GPT-6.1 Sol (xHigh)73.39#7 (GPT-6.1 Sol)
6GLM-5.3 Flash (Max)73.19#72 (GLM-5.3 Flash)
7Muse Spark 1.3 (High)73.07#29 (Muse Spark 1.3)
8Muse Wonder (Max)72.63#15 (Muse Wonder)
9GLM-5.3 (Max)72.62#39 (GLM-5.3)
10Kimi K3 (High)71.5#33 (Kimi K3)
11GPT-6 Astra (xHigh)71.06#6 (GPT-6 Astra)

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

Interactive version: theaggregate.ai/benchmark?slug=frontiercs-2-robust-image-tokenizer · How It Works · Data refreshed daily, snapshot 2026-10-26.