Kaggle IndicGenBench - XorQA-In: leaderboard

XorQA-In from Google DeepMind's IndicGenBench on Kaggle: answer a question asked in one of 28 Indic languages using an English passage, with bilingual answer annotations. Scored with SQuAD-style token F1 as in the IndicGenBench paper, 0-100, higher is better.

Metric: Token F1. Source: www.kaggle.com. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Pro (Preview)76.3#71
2Claude Sonnet 4.575.95#148
3Gemini 2.5 Flash70.86#255
4Grok 468.34#189
5GPT-567.63#105
6O367.25#132
7Claude Opus 4.166.99#146
8Qwen 3 235B A22B 2507 Instruct65.15#315
9GPT-4.161.04#258
10O4 Mini58.12#185
11Sarvam M54.64#643
12GPT-OSS-120B53.25#346

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=kaggle-indicgenbench-xorqa-in · How It Works · Data refreshed daily, snapshot 2026-11-05.