Open PL LLM - PolQA Reranking (multiple choice, 5-shot): leaderboard

Choosing the passage relevant to a Polish PolQA question. Open PL LLM Leaderboard (SpeakLeash), 5-shot, multiple choice variant: the options are ranked by log-likelihood; accuracy (%), higher is better. Runs not available on the Hugging Face Hub are excluded.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around February 2027. 319 models tracked.

Top models

#ModelScoreOverall rank
1Bielik-11B-v2.1-Instruct85.63#679
2Bielik-11B-v2.2-Instruct85.4#669
3Bielik-11B-v2.3-Instruct84.66#700
4Qwen 2 72B84.6#515
5Qwen 2.5 32B Instruct84.37#509
6cogito-v1-preview-qwen-14B84.15
7Qwen 2.5 32B83.53#544
8Qwen 2 72B Instruct83.15#579
9Llama 3.3 70B Instruct82.87#541
10Mistral Large 2 (Jul)82.78#490
11Qwen 3 14B82.57#542
12Bielik-11B-v2.0-Instruct82.45#750
13Llama 3.1 70B Instruct82.4#567
14Llama 3.1 Nemotron 70B Instruct82.37#563
15Qwen 2.5 14B Instruct82.19#654

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

Interactive version: theaggregate.ai/benchmark?slug=open-pl-llm-polqa-reranking-multiple-choice-5-shot · How It Works · Data refreshed daily, snapshot 2026-11-05.