BALSAM - Text Classification: leaderboard

BALSAM Arabic benchmark (SDAIA/KSAA, dataset version 2), Text Classification category: sorting texts into predefined classes by meaning or attributes. 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 2034. 34 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.241.14#115
2GLM-5 (Thinking)40.62#149 (GLM-5)
3Grok 4.1 Fast (Reasoning)40.51#227 (Grok 4.1 Fast)
4Kimi K2 Instruct (0905)40.31#267
5Command A 03 202539.82#530
6Llama 3.3 70B Instruct39.46#541
7GPT-OSS-120B (Reasoning)39.35#346 (GPT-OSS-120B)
8GLM-4.7 (Reasoning)39.28#202 (GLM-4.7)
9DeepSeek V3.239.04#210
10AceGPT-v2-8B-Chat38.43#746
11Qwen 3 235B A22B37.86#323
12Llama 4 Maverick Instruct37.39#467
13Command-R+37.24#869
14Claude Opus 4.537.17#87
15Nova Pro (v1)36.97#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-text-classification · How It Works · Data refreshed daily, snapshot 2026-11-05.