IndicIFEval-Ground - Marathi: leaderboard

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

Top models

#ModelScoreOverall rank
1GPT-5 Mini (2025-08-07)81.7#165
2GPT-578#91
3Llama 3.2 3B Instruct70.9#1321
4Qwen 3 14B69.7#524
5Qwen 3 32B66.6#424
6Gemma 3 27B (IT)66#509
7Qwen 3 8B65.4#667
8Gemma 3 4B (IT)64#971
9Gemini 3 Flash62.9#93
10Qwen 3 4B62.6#823
11Qwen 3 1.7B62.6#1186
12Gemini 3 Pro62#77
13Gemma 3 12B (IT)61.7#655
14Llama 3.1 8B Instruct61.1#1018
15Qwen 3 0.6B56#1440

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