IndicIFEval-Ground - Nepali: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Nepali 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 September 2028. 19 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 14B75.7#524
2GPT-5 Mini (2025-08-07)75.7#165
3Qwen 3 8B73#667
4GPT-572.4#91
5Llama 3.1 8B Instruct71.3#1018
6Qwen 3 32B70.4#424
7Gemma 3 12B (IT)66.9#655
8Gemini 3 Flash66.9#93
9Gemma 3 27B (IT)65.1#509
10Gemini 3 Pro64.2#77
11Gemma 3 4B (IT)63.3#971
12Llama 3.2 3B Instruct63#1321
13Qwen 3 4B62.8#823
14Qwen 3 1.7B61.9#1186
15Llama 3.2 1B Instruct57.8#1518

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