ScarfBench (Kaggle): leaderboard

Coding agents (one model at one effort inside its harness, run by Kaggle) carry out 204 migrations of enterprise Java applications between Jakarta EE, Quarkus and Spring; the score is the share of the applications' behavioral smoke tests that pass after the migration. Unlike the ScarfBench paper board (174 focused-app migrations, one skills prompt), Kaggle runs and maintains these results over focused and whole applications.

Metric: Smoke tests passed (%) over 204 Java framework migrations, each model run in a coding-agent harness by Kaggle. Source: www.kaggle.com. Saturation forecast: Around May 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 4 Argon (High)75.24#11 (Gemini 4 Argon)
2Claude Opus 5.5 (Max)70.55#5 (Claude Opus 5.5)
3Claude Opus 5 (xHigh)69.79#22 (Claude Opus 5)
4DeepSeek V4.1 Flash (Max)69.03#59 (DeepSeek V4.1 Flash)
5GPT-6.1 Sol (Max)68.42#10 (GPT-6.1 Sol)
6Gemini 3.8 Flash (Medium)65.97#36 (Gemini 3.8 Flash)
7GPT-6 Astra (High)65.39#6 (GPT-6 Astra)
8Qwen 3.8 Max (xHigh)63.67#55 (Qwen 3.8 Max)
9Kimi K3 (Max)61.29#54 (Kimi K3)
10Gemini 3.1 Pro (Preview) (High)37.6#94 (Gemini 3.1 Pro (Preview))

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon.

Interactive version: theaggregate.ai/benchmark?slug=scarfbench-kaggle · How It Works · Data refreshed daily, snapshot 2026-11-13.