BALSAM - Summarization: leaderboard

BALSAM Arabic benchmark (SDAIA/KSAA, dataset version 2), Summarization category: producing a summary that keeps a text's key information and concepts. The site's overall score blends LLM-judged generated answers with multiple-choice answers across the category's tasks; 0-100, higher is better.

Metric: Overall score (0-100, LLM-judged generation and multiple choice). Source: benchmarks.ksaa.gov.sa. Saturation forecast: Around 2032. 37 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 235B A22B52.64#323
2GLM-4.7 (Reasoning)52.09#202 (GLM-4.7)
3GLM-5 (Thinking)51.9#149 (GLM-5)
4GPT-5.251.55#115
5Kimi K2 Instruct (0905)51.44#267
6DeepSeek V3.250.46#210
7AceGPT-v2-8B-Chat50.25#746
8GPT-OSS-120B (Reasoning)50.04#346 (GPT-OSS-120B)
9Claude Opus 4.549.86#87
10Grok 4.1 Fast (Reasoning)49.71#227 (Grok 4.1 Fast)
11Command A 03 202549.35#530
12Fanar-C-2-27B49.17#637
13Command-R+48.77#869
14Llama 4 Maverick Instruct48.11#467
15Nova Pro (v1)47.88#508

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

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