IndicBankBench: leaderboard
IndicBankBench (Paul et al., 2026) tests language-model assistants on 799 multi-turn Indian retail-banking conversations with stateful mock tools, covering five operational domains and a capability and refusal domain. Each case runs three times and passes only if every run clears deterministic safety and tool-use checks and a GLM-5.2 response judge; the score is the percentage of cases passed (strict pass^3), higher is better.
Metric: Strict pass^3 (%; cases passed out of all 799 cases (twelve behavioral axes and eight capability and refusal axes); 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 2029. 11 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V4 Pro (0813) (Max) | 58.2 | #81 (DeepSeek V4 Pro (0813)) |
| 2 | Grok 4.6 (High) | 58.07 | #44 (Grok 4.6) |
| 3 | Claude Opus 5 (Max) | 57.7 | #20 (Claude Opus 5) |
| 4 | GLM-5.3 Flash (High) | 56.82 | #119 (GLM-5.3 Flash) |
| 5 | DeepSeek V4 Flash (0731) (Max) | 54.19 | #136 (DeepSeek V4 Flash (0731)) |
| 6 | Gemma 4 31B (IT) (Thinking) | 54.07 | #343 (Gemma 4 31B (IT)) |
| 7 | Gemini 3.8 Flash | 53.32 | #36 |
| 8 | MiniMax-M3 | 48.19 | #265 |
| 9 | gemma-4-26B-A4B-it (Thinking) | 47.43 | |
| 10 | Gemma 4 E4B (IT) (Thinking) | 43.68 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=indicbankbench · How It Works · Data refreshed daily, snapshot 2026-11-12.