IndicIFEval-Trans - Nepali: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Nepali prompts; IndicIFEval-Trans: IFEval prompts translated with Sarvam-Translate, localized and verified by native speakers; the 321 prompts valid in every 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: Estimated already saturated. 22 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro92.2#77
2GPT-591#91
3Gemini 3 Flash89.7#93
4GPT-5 Mini (2025-08-07)82.9#165
5Gemma 3 27B (IT)79.4#509
6Llama 4 Scout Instruct75.4#526
7Llama 3.3 70B Instruct74.8#520
8Qwen 3 32B73.5#424
9Gemma 3 12B (IT)72.9#655
10Qwen 3 14B72.3#524
11Gemma 3 4B (IT)65.4#971
12Llama 3.1 70B Instruct64.8#548
13Qwen 3 8B64.8#667
14Qwen 3 4B58.9#823
15Llama 3.1 8B Instruct45.5#1018

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=indicifeval-trans-nepali · How It Works · Data refreshed daily, snapshot 2026-10-11.