Data Explorer
Per-model self-identification rates across languages, grouped by vendor.
Per manufacturer: how often other models claim to be it (right) vs how often its own models claim to be someone else (left). Sorted by net — identity creditors at the top, debtors at the bottom. Tested manufacturers only.
MiniMax is imitated most with a net imitation balance of 0; MiniMax imitates others most with a net of 0.
MiniMaxThe other failure mode — not answering wrong, but not answering: giving no identity (“unknown”) or refusing outright. Share of all answers.
MiniMax abstains most, with 0.0% of answers giving no usable identity.
MiniMaxRollup per real vendor — model count, total answers, mean self-ID rate, and the most common cross-vendor confusion target.
| Vendor | Models | Answers | Self-ID | Top confusion |
|---|---|---|---|---|
| MiniMax | 1 | 300 | 100.0% | — |
Self-Identification Rate
| Model | en | zh-Hans | zh-Hant | ja | ko | ru | es | fr | de | pt | Overall |
|---|---|---|---|---|---|---|---|---|---|---|---|
| MiniMax 3 | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% |
Cross-Vendor Confusions
✓ Always self-identifies correctly