IndicBankBench - Multi-Tool Agentic: leaderboard
Metric: Strict pass^3 (%; 112 cases passed out of the 112 cases of the general multi-tool agentic 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 2029. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 5 (Max) | 42.86 |
| 2 | GLM-5.3 Flash (High) | 39.29 |
| 3 | Gemini 3.8 Flash | 38.39 |
| 4 | Grok 4.6 (High) | 37.5 |
| 5 | DeepSeek V4 Pro (0813) (Max) | 37.5 |
| 6 | DeepSeek V4 Flash (0731) (Max) | 33.04 |
| 7 | Gemma 4 31B (IT) (Thinking) | 31.25 |
| 8 | MiniMax-M3 | 24.11 |
| 9 | gemma-4-26B-A4B-it (Thinking) | 21.43 |
| 10 | Gemma 4 E4B (IT) (Thinking) | 19.64 |
Interactive version: theaggregate.ai/benchmark?slug=indicbankbench-multi-tool-agentic · How It Works · Data refreshed daily, snapshot 2026-09-26.