BALSAM - Text Manipulation: leaderboard

BALSAM Arabic benchmark (SDAIA/KSAA, dataset version 2), Text Manipulation category: rewriting texts linguistically or semantically to adapt them to a context. 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: Not forecast. 38 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5 (Thinking)65.08#149 (GLM-5)
2Command-R+64.69#869
3Command A 03 202564.34#530
4GPT-5.264.32#115
5Grok 4.1 Fast (Reasoning)64.12#227 (Grok 4.1 Fast)
6Kimi K2 Instruct (0905)63.73#267
7AceGPT-v2-8B-Chat62.26#746
8DeepSeek V3.261.92#210
9Nova Pro (v1)61.21#508
10GPT-OSS-120B (Reasoning)61.11#346 (GPT-OSS-120B)
11Fanar-C-2-27B60.57#637
12GLM-4.7 (Reasoning)60.19#202 (GLM-4.7)
13Llama 3.3 70B Instruct59.49#541
14Qwen 3 235B A22B59.32#323
15Llama 4 Maverick Instruct57.96#467

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

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