SommBench - Wine Feature Completion (English): leaderboard

Metric: Wine feature completion accuracy (%) with English 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-4o Mini65#588
2Gemini 2.5 Flash64#237
3GPT-4o62#333
4Gemini 2.5 Pro62#145
5Grok 462#169
6GPT-4.161#240
7GPT-4.1 Mini60#346
8Grok 4 Fast59#242
9GPT-557#91
10Gemini 2.5 Flash Lite56#413
11GPT-4.1 Nano51#716
12GPT-OSS-20B (Medium)48#499 (GPT-OSS-20B)
13GPT-OSS-120B (Low)48#330 (GPT-OSS-120B)
14GPT-OSS-120B (Medium)47#330 (GPT-OSS-120B)
15GPT-OSS-20B (Low)43#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-english · How It Works · Data refreshed daily, snapshot 2026-10-11.