IndicIFEval-Ground - Kannada: leaderboard

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

Top models

#ModelScoreOverall rank
1GPT-573.6#91
2GPT-5 Mini (2025-08-07)71.5#165
3Qwen 3 14B69.2#524
4Qwen 3 8B67.5#667
5Llama 3.2 3B Instruct64.8#1321
6Gemma 3 12B (IT)63#655
7Llama 3.1 8B Instruct62.8#1018
8Qwen 3 32B61.3#424
9Gemini 3 Pro61#77
10Gemma 3 27B (IT)59.2#509
11Gemini 3 Flash58.1#93
12Qwen 3 4B58.1#823
13Gemma 3 4B (IT)56#971
14Qwen 3 1.7B48.1#1186
15Qwen 3 0.6B47.5#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-kannada · How It Works · Data refreshed daily, snapshot 2026-10-11.