Multimodal & Grounded benchmark
RefCOCO (avg) leaderboard
RefCOCO average. Every model the catalog carries a published RefCOCO (avg) value for, ranked by that value.
A referring-expression grounding benchmark averaged across RefCOCO variants to test whether a model can localize described objects correctly.
RefCOCO (avg) ranking
6 models with a published RefCOCO (avg) value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | Grounded visual localization |
|---|---|---|---|
| 1 |  Qwen3.6-27B | Alibaba | 92.5 |
| 2 | Qwen3.6-35B-A3B | Alibaba | 92.0 |
| 3 |  Nemotron 3 Nano Omni 30B A3B | NVIDIA | 90.5 |
| 4 |  LFM2.5-VL-3B | LiquidAI | 87.9 |
| 5 | ZYZAYA1-VL-8B | Zyphra | 84.3 |
| 6 | INInterfaze Beta | Interfaze | 82.1 |
Evidence key: Observed
Rows are ordered by the value RefCOCO referring expression datasets published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.