BALSAM - Question Answering: leaderboard

BALSAM Arabic benchmark (SDAIA/KSAA, dataset version 2), Question Answering category: answering a question from the input provided. 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 June 2027. 38 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.273.98#115
2GLM-4.7 (Reasoning)73.95#202 (GLM-4.7)
3GLM-5 (Thinking)73.39#149 (GLM-5)
4GPT-OSS-120B (Reasoning)73.39#346 (GPT-OSS-120B)
5Nova Pro (v1)72.87#508
6Command A 03 202572.2#530
7DeepSeek V3.271.65#210
8Fanar-C-2-27B70.35#637
9AceGPT-v2-8B-Chat69.83#746
10Kimi K2 Instruct (0905)68.97#267
11Llama 3.3 70B Instruct67.31#541
12Llama 4 Maverick Instruct65.44#467
13Jais-2-70B-Chat65.17#430
14Qwen 3 235B A22B60.48#323
15Grok 4.1 Fast (Reasoning)59.91#227 (Grok 4.1 Fast)

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

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