IndicIFEval-Ground: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100), mean over the 14 Indic languages; 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 May 2028. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-575.9#91
2GPT-5 Mini (2025-08-07)75.8#165
3Qwen 3 14B70#524
4Qwen 3 8B66.6#667
5Qwen 3 32B66#424
6Llama 3.1 8B Instruct64.1#1018
7Gemma 3 27B (IT)63.3#509
8Gemini 3 Pro62.6#77
9Gemini 3 Flash62.1#93
10Gemma 3 12B (IT)62#655
11Qwen 3 4B62#823
12Llama 3.2 3B Instruct61.4#1321
13Gemma 3 4B (IT)60.2#971
14Qwen 3 1.7B52.9#1186
15Llama 3.2 1B Instruct52.7#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 · How It Works · Data refreshed daily, snapshot 2026-10-11.