IndicIFEval-Ground - Gujarati: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Gujarati 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-577.5#91
2GPT-5 Mini (2025-08-07)74.5#165
3Qwen 3 14B71.3#524
4Qwen 3 8B65.2#667
5Llama 3.2 1B Instruct65#1518
6Gemma 3 27B (IT)64.7#509
7Qwen 3 32B64.2#424
8Llama 3.1 8B Instruct63.4#1018
9Gemma 3 12B (IT)63.4#655
10Qwen 3 4B61.3#823
11Gemini 3 Pro61#77
12Gemma 3 4B (IT)60.7#971
13Gemini 3 Flash60.7#93
14Gemma 3 1B (IT)58.6#1484
15Llama 3.2 3B Instruct53.6#1321

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