SommBench - Wine Feature Completion (Finnish): leaderboard

Metric: Wine feature completion accuracy (%) with Finnish 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
1Gemini 2.5 Flash63#237
2GPT-4.163#240
3GPT-4o Mini63#588
4GPT-4o62#333
5Gemini 2.5 Pro62#145
6Grok 462#169
7GPT-4.1 Mini61#346
8Grok 4 Fast57#242
9Gemini 2.5 Flash Lite56#413
10GPT-555#91
11GPT-4.1 Nano52#716
12GPT-OSS-120B (Low)36#330 (GPT-OSS-120B)
13GPT-OSS-120B (Medium)36#330 (GPT-OSS-120B)
14GPT-OSS-20B (Medium)35#499 (GPT-OSS-20B)
15GPT-OSS-20B (Low)24#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-finnish · How It Works · Data refreshed daily, snapshot 2026-10-11.