SommBench - Wine Feature Completion (German): leaderboard

Metric: Wine feature completion accuracy (%) with German output: attribute accuracy on SommBench's 1,000 wine profiles with one to three masked attributes (type, country, region, grapes, dryness, body, acidity, sugar, alcohol) completed as structured JSON in the target language, numeric attributes counted correct within 5% error, zero-shot, temperature 0, one run; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 21 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4o65#333
2Gemini 2.5 Flash63#237
3GPT-4o Mini63#588
4Gemini 2.5 Pro62#145
5GPT-4.1 Mini62#346
6GPT-4.162#240
7Grok 4 Fast61#242
8Grok 459#169
9Gemini 2.5 Flash Lite59#413
10GPT-556#91
11GPT-4.1 Nano54#716
12GPT-OSS-20B (Medium)42#499 (GPT-OSS-20B)
13GPT-OSS-120B (Low)42#330 (GPT-OSS-120B)
14GPT-OSS-120B (Medium)42#330 (GPT-OSS-120B)
15GPT-OSS-20B (Low)36#499 (GPT-OSS-20B)

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=sommbench-wine-feature-completion-german · How It Works · Data refreshed daily, snapshot 2026-10-11.