UrduMMLU (Urdu Prompt) - Social Sciences: leaderboard

The Social Sciences domain of UrduMMLU (2026), an Urdu MMLU-style benchmark from native question banks and Pakistani examinations: exact-match accuracy in percent on questions from eleven social-science subjects including Pakistan studies, civics and economics, with an Urdu instruction prompt, zero-shot. Higher is better.

Metric: Social Sciences (7,959 questions in 11 subjects, including Pakistan studies, civics and economics) exact-match accuracy (%) on UrduMMLU's Urdu multiple-choice questions from Pakistani MCQ banks and public examinations, zero-shot, answer key parsed from the generation (unparsable, malformed or error outputs count as wrong); temperature 0 where available, 4,096 output tokens, Urdu instruction prompt. Source: arxiv.org. Saturation forecast: Estimated already saturated. 30 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.5 Flash92.25#101
2Gemini 3.1 Flash Lite90.2#364
3GPT-5.489.47#123
4DeepSeek V4 Flash88.78#258
5Claude Sonnet 4.687.62#161
6Qwen 3.6 35B A3B84.19#462
7Gemma 4 31B (IT)82.12#342
8Llama 4 Maverick Instruct81.38#1133
9GPT-5.4 Mini78.54#389
10Claude Haiku 4.577.06#568
11Gemma 4 26B A4B (IT)75.46#549
12Qwen 3.6 27B74.63#341
13Llama 3.3 70B Instruct73.51#1357
14Llama 4 Scout Instruct72.57#1543
15Ministral-3-8B-Instruct-251262.81#1858

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=urdummlu-urdu-prompt-social-sciences · How It Works · Data refreshed daily, snapshot 2026-11-13.