DI-Bench (Data Intelligence) - Czech Financial: leaderboard

The 282 Czech retail-banking tasks of DI-Bench (Zhang et al., 2026, Amazon), built on the PKDD 99 financial dataset with dates stored as integers, extra joins and fictional business rules. An agent with SQL-execution and knowledge-base retrieval tools answers generated questions that need business rules and metric definitions applied to database computations, within 20 turns; exact match with task-specific tolerance, accuracy in percent, higher is better.

Metric: Accuracy (%; 282 PKDD 99 Czech retail-banking generated data-intelligence questions whose answers need retrieved business rules and metric definitions plus SQL over the database; agent with SQL-execution and knowledge-base tools, at most 20 turns, temperature 0, via the Amazon Bedrock Converse API; exact match with task-specific tolerance). Source: arxiv.org. Saturation forecast: Around March 2027. 4 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.655.7#100
2Claude Haiku 4.542.9#568
3DeepSeek V3.242.6#403
4Qwen 3 Next 80B A3B39.7#756

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

Interactive version: theaggregate.ai/benchmark?slug=di-bench-data-intelligence-czech-financial · How It Works · Data refreshed daily, snapshot 2026-11-12.