EuroEval Serbian Summarization - LR SUM SR: leaderboard

EuroEval's Serbian summarization task on the LR SUM SR dataset — models write abstractive summaries of Serbian news articles, scored with automatic text-overlap metrics, from the EuroEval European language model benchmark suite.

Metric: chrF3++ (%). Source: euroeval.com. Saturation forecast: Not forecast. 148 models tracked.

Top models

#ModelScoreOverall rank
1Bielik-11B-v2.3-Instruct31.95#693
2Llama 3.1 8B Instruct31.53#1035
3Mistral Small 3.131.09#610
4Llama 3.3 70B Instruct31.08#534
5occiglot-7B-eu5-instruct30.87
6Qwen 3 14B (Non-reasoning)30.64#537 (Qwen 3 14B)
7Gemma 3 270M (IT)30.6#1581
8Voxtral-Small-24B-250730.49#581
9Mistral Small 3.230.38#605
10Qwen 3 4B (Non-reasoning)30.35#829 (Qwen 3 4B)
11Gemma 3 12B (IT)30.34#664
12Apertus-70B-Instruct-250930.32#820
13Qwen 3 30B A3B 2507 Instruct30.3#488
14tiny-aya-water30.28
15Qwen 2.5 72B Instruct30.27#454

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

Interactive version: theaggregate.ai/benchmark?slug=euroeval-serbian-summarization-lr-sum-sr · How It Works · Data refreshed daily, snapshot 2026-10-20.