IndicIFEval-Ground - Hindi: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Hindi 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-577.9#91
2GPT-5 Mini (2025-08-07)75.5#165
3Qwen 3 14B73.1#524
4Llama 3.1 8B Instruct65.2#1018
5Llama 3.2 3B Instruct64.8#1321
6Qwen 3 8B64.3#667
7Gemma 3 4B (IT)64.1#971
8Qwen 3 4B63.7#823
9Gemma 3 12B (IT)63.5#655
10Qwen 3 32B62.4#424
11Gemini 3 Flash61.9#93
12Llama 3.2 1B Instruct60.8#1518
13Gemma 3 27B (IT)60#509
14Gemini 3 Pro58.9#77
15Qwen 3 1.7B58.4#1186

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