IndicIFEval-Ground - Punjabi: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Punjabi 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 January 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-578.5#91
2GPT-5 Mini (2025-08-07)77#165
3Qwen 3 14B67.5#524
4Gemma 3 27B (IT)65.8#509
5Gemini 3 Pro65.5#77
6Qwen 3 32B64.8#424
7Gemini 3 Flash64.5#93
8Qwen 3 8B63.3#667
9Llama 3.1 8B Instruct62.6#1018
10Gemma 3 12B (IT)62.1#655
11Gemma 3 4B (IT)59.7#971
12Llama 3.2 3B Instruct59.7#1321
13Qwen 3 4B48.7#823
14Llama 3.2 1B Instruct46.7#1518
15aya-expanse-8B43.8#921

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-punjabi · How It Works · Data refreshed daily, snapshot 2026-10-11.