IndicBankBench - Context Switching: leaderboard

The context-switching axis of IndicBankBench (Paul et al., 2026): 44 retail-banking conversations that switch context midway. 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 (%; 44 cases passed out of the 44 cases of the context-switching 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: Not forecast. 11 models tracked.

Top models

#ModelScoreOverall rank
1GLM-5.3 Flash (High)84.09#119 (GLM-5.3 Flash)
2DeepSeek V4 Pro (0813) (Max)81.82#81 (DeepSeek V4 Pro (0813))
3Grok 4.6 (High)77.27#44 (Grok 4.6)
4Gemma 4 E4B (IT) (Thinking)75
5Claude Opus 5 (Max)72.73#20 (Claude Opus 5)
6DeepSeek V4 Flash (0731) (Max)72.73#136 (DeepSeek V4 Flash (0731))
7Gemma 4 31B (IT) (Thinking)72.73#343 (Gemma 4 31B (IT))
8gemma-4-26B-A4B-it (Thinking)70.45
9MiniMax-M368.18#265
10Gemini 3.8 Flash59.09#36

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

Interactive version: theaggregate.ai/benchmark?slug=indicbankbench-context-switching · How It Works · Data refreshed daily, snapshot 2026-11-12.