A referring-expression grounding benchmark averaged across RefCOCO variants to test whether a model can localize described objects correctly.
BenchLM mirrors the published score view for RefCOCO (avg). Qwen3.6-27B leads the public snapshot at 92.5% , followed by Qwen3.6-35B-A3B (92.0%) and Nemotron 3 Nano Omni 30B A3B (90.5%). BenchLM does not use these results to rank models overall.
Qwen3.6-27B
Alibaba
Qwen3.6-35B-A3B
Alibaba
Nemotron 3 Nano Omni 30B A3B
NVIDIA
The published RefCOCO (avg) snapshot is tightly clustered at the top: Qwen3.6-27B sits at 92.5%, while the third row is only 2.0 points behind. The broader top-10 spread is 10.4 points, so the benchmark still separates strong models even when the leaders cluster.
4 models have been evaluated on RefCOCO (avg). The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. RefCOCO (avg) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Referring-expression grounding
Format
Grounded visual localization
Difficulty
Fine-grained visual grounding
RefCOCO-style tasks matter for grounding-heavy assistants because they measure whether the model can map language to specific objects or regions instead of only answering abstract questions. BenchLM stores provider-reported aggregate RefCOCO values as a display-only grounding row.
Version
RefCOCO (avg) 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A referring-expression grounding benchmark averaged across RefCOCO variants to test whether a model can localize described objects correctly.
Qwen3.6-27B by Alibaba currently leads with a score of 92.5% on RefCOCO (avg).
4 AI models have been evaluated on RefCOCO (avg) on BenchLM.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.