IndicIFEval-Ground - Malayalam: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Malayalam 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-570.6#91
2Qwen 3 14B70.3#524
3GPT-5 Mini (2025-08-07)68.2#165
4Gemma 3 27B (IT)63#509
5Llama 3.1 8B Instruct62.8#1018
6Qwen 3 32B61.5#424
7Qwen 3 8B60.9#667
8Gemma 3 12B (IT)60.7#655
9Gemini 3 Pro59.4#77
10Gemma 3 4B (IT)57.3#971
11Llama 3.2 3B Instruct56.8#1321
12Gemini 3 Flash56.2#93
13aya-expanse-32B55.5#680
14Qwen 3 4B55.2#823
15Llama 3.2 1B Instruct47.1#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-malayalam · How It Works · Data refreshed daily, snapshot 2026-10-11.