Belebele European - Finnish: leaderboard

SpeakLeash Belebele European Leaderboard, Finnish: Belebele multiple-choice reading comprehension over FLORES passages, four options per question, scored 0-shot by log-likelihood accuracy in an lm-evaluation-harness run. 0-100, higher is better, chance 25; open models of about 4.5B-15B parameters.

Metric: Accuracy (%, 0-shot). Source: huggingface.co. Saturation forecast: Estimated already saturated. 29 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 2 9B (IT)88.89#795
2Gemma 3 12B (IT)88.11#672
3cogito-v1-preview-qwen-14B87.56
4Qwen 3 14B86.44#542
5Qwen 2.5 14B Instruct86.44#654
6GaMS3-12B-Instruct86#706
7Phi-482.67#707
8Qwen 3 8B78.78#678
9EuroLLM-9B-Instruct70.11#1047
10Gemma 2 9B68.56#924
11Mistral Nemo Instruct (2407)68.56#917
12Apertus-8B-Instruct-250967.89#1028
13Qwen 2.5 7B67#895
14EuroLLM-9B58.78#1238
15PLLuM-12B-nc-chat-25071543.89#953

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=belebele-european-finnish · How It Works · Data refreshed daily, snapshot 2026-11-05.