IndicBankBench - Not Enough Info: leaderboard

The not-enough-information axis of IndicBankBench (Paul et al., 2026): 61 retail-banking cases in which the information needed to act is incomplete. Percentage of cases passed in all three runs (strict pass^3), under deterministic safety and tool-use checks and a GLM-5.2 response judge; higher is better.

Metric: Strict pass^3 (%; 61 cases passed out of the 61 cases of the not-enough-information axis; each case run three times at temperature 0.7 with the stated reasoning modes; a case passes only when all three runs pass the deterministic safety and tool-use gates and the GLM-5.2 response judge; scripted Indian retail-banking conversations over deterministic mock tools). Source: arxiv.org. Saturation forecast: Around 2030. 11 models tracked.

Top models

#ModelScoreOverall rank
1Grok 4.6 (High)62.3#44 (Grok 4.6)
2MiniMax-M354.1#265
3DeepSeek V4 Pro (0813) (Max)54.1#81 (DeepSeek V4 Pro (0813))
4Claude Opus 5 (Max)49.18#20 (Claude Opus 5)
5DeepSeek V4 Flash (0731) (Max)49.18#136 (DeepSeek V4 Flash (0731))
6GLM-5.3 Flash (High)49.18#119 (GLM-5.3 Flash)
7Gemini 3.8 Flash44.26#36
8gemma-4-26B-A4B-it (Thinking)44.26
9Gemma 4 31B (IT) (Thinking)42.62#343 (Gemma 4 31B (IT))
10Gemma 4 E4B (IT) (Thinking)37.7

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=indicbankbench-not-enough-info · How It Works · Data refreshed daily, snapshot 2026-11-12.