SommBench - Wine Feature Completion (Spanish): leaderboard

Metric: Wine feature completion accuracy (%) with Spanish 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: Around 2029. 21 models tracked.

Top models

#ModelScoreOverall rank
1GPT-4.163#240
2GPT-4o62#333
3Gemini 2.5 Flash62#237
4GPT-4o Mini62#588
5Grok 462#169
6Gemini 2.5 Pro61#145
7GPT-4.1 Mini60#346
8Gemini 2.5 Flash Lite60#413
9Grok 4 Fast58#242
10GPT-557#91
11GPT-4.1 Nano55#716
12GPT-OSS-120B (Low)43#330 (GPT-OSS-120B)
13GPT-OSS-120B (Medium)42#330 (GPT-OSS-120B)
14GPT-OSS-20B (Medium)39#499 (GPT-OSS-20B)
15GPT-OSS-20B (Low)38#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-spanish · How It Works · Data refreshed daily, snapshot 2026-10-11.