Explains SEPA usage guideline limits
Element lengths (names 70), the SEPA Latin character set, and scheme-mandatory values (ChrgBr SLEV).
Can AI do this?
AI does this partly Some of the tested AI models master this; others do not show it. 2 of 4 models in the current benchmark master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 33% | Not shown |
| gpt-6-luna | Low cost | 99% | Mastered |
| claude-haiku-5-5 | Low cost | 90% | Not shown |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: Element lengths (names 70), the SEPA Latin character set, and scheme-mandatory values (ChrgBr SLEV).
How it is assessed: Answers a written question on the SEPA implementation guidelines correctly
Related knobits
Needed for
- N-406 Recognises an element length exceeded without a rule
- N-407 Recognises a character set not handled
All 15 knobits of Specify data exchanges.
Source: Practice the stage 4 reference and review checklist rest on