IndicIFEval-Trans: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100), mean over the 14 Indic languages; 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 Pro90#77
2GPT-588.9#91
3Gemini 3 Flash87.5#93
4GPT-5 Mini (2025-08-07)79.8#165
5Gemma 3 27B (IT)76.1#509
6Gemma 3 12B (IT)73.6#655
7Qwen 3 32B72.8#424
8Llama 4 Scout Instruct72.4#526
9Llama 3.3 70B Instruct72#520
10Qwen 3 14B71.1#524
11Qwen 3 8B62.7#667
12Llama 3.1 70B Instruct60.6#548
13Gemma 3 4B (IT)60.1#971
14Qwen 3 4B54.3#823
15aya-expanse-32B38.8#680

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