Belebele European - Russian: leaderboard

SpeakLeash Belebele European Leaderboard, Russian: 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
1cogito-v1-preview-qwen-14B91.89
2Qwen 2.5 14B Instruct90.44#654
3Qwen 3 14B88.89#542
4Gemma 3 12B (IT)88.67#672
5Gemma 2 9B (IT)88.11#795
6Phi-488.11#707
7GaMS3-12B-Instruct87#706
8Qwen 3 8B86.89#678
9Qwen 2.5 7B82.56#895
10Mistral Nemo Instruct (2407)81.22#917
11Apertus-8B-Instruct-250974.33#1028
12Gemma 2 9B71.56#924
13EuroLLM-9B-Instruct71.22#1047
14PLLuM-12B-nc-chat-25071570.78#953
15EuroLLM-9B61.33#1238

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-russian · How It Works · Data refreshed daily, snapshot 2026-11-05.