IndicIFEval-Ground - Sanskrit: leaderboard

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

Top models

#ModelScoreOverall rank
1GPT-5 Mini (2025-08-07)79.5#165
2GPT-578.3#91
3Qwen 3 4B67#823
4Gemma 3 4B (IT)65.8#971
5Llama 3.1 8B Instruct65.2#1018
6Qwen 3 14B64.3#524
7Qwen 3 8B62.8#667
8Qwen 3 32B61.3#424
9Gemma 3 27B (IT)59.2#509
10Gemini 3 Flash55.6#93
11Gemma 3 12B (IT)54.2#655
12Qwen 3 1.7B53.9#1186
13Gemini 3 Pro50.9#77
14Llama 3.2 1B Instruct50.9#1518
15Llama 3.2 3B Instruct44.6#1321

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