Omni-Persona - Text-to-Text: leaderboard
Metric: Calibrated accuracy (%): item-weighted accuracy over answerable items (answer judged correct by a GPT-5.4-mini judge) and absent-persona items (correct abstention by keyword matching), on the text-to-text persona matching group, zero-shot; higher is better. Source: arxiv.org. Saturation forecast: Around 2032. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Phi-4 Multimodal Instruct | 51.6 |
| 2 | Qwen3 Omni 30B A3B Instruct | 50 |
| 3 | Gemini 3.6 Flash (High) | 50 |
| 4 | Gemini 3.6 Flash (Medium) | 50 |
| 5 | Gemini 3.5 Flash Lite | 42.7 |
| 6 | gemma-4-E4B-it | 41.9 |
| 7 | Qwen2.5-Omni-7B | 41.9 |
| 8 | Gemma 4 E2B (IT) | 39.5 |
Interactive version: theaggregate.ai/benchmark?slug=omni-persona-text-to-text · How It Works · Data refreshed daily, snapshot 2026-10-07.