IndicIFEval-Ground - Urdu: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Urdu prompts; IndicIFEval-Ground: prompts generated by Gemini 2.5 from native Indic web text (sangraha-verified) for six constraint types (keyword inclusion, prohibition and frequency, paragraph and sentence count, first word), verified by native speakers; a different prompt set per language; IFEval-style verifiable instructions checked by the IFEval rules with Indic NLP Library tokenization and sentence splitting; prompt-level loose accuracy (a prompt counts when all of its instructions are followed, after minor formatting relaxations); greedy decoding through the LM Evaluation Harness; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 Mini (2025-08-07)73.6#165
2GPT-572.7#91
3Llama 3.2 3B Instruct61.7#1321
4Qwen 3 8B60.2#667
5Gemini 3 Pro60.2#77
6Qwen 3 14B60.2#524
7Qwen 3 4B59.9#823
8Gemini 3 Flash59.6#93
9Llama 3.2 1B Instruct59.4#1518
10Qwen 3 32B57.6#424
11Llama 3.1 8B Instruct56.4#1018
12Gemma 3 27B (IT)54.3#509
13Gemma 3 4B (IT)54#971
14Qwen 3 1.7B54#1186
15Gemma 3 12B (IT)53.7#655

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=indicifeval-ground-urdu · How It Works · Data refreshed daily, snapshot 2026-10-11.