A visual detection and grounding benchmark slice used to compare zero-shot object understanding across diverse domains.
BenchLM mirrors the published score view for ODINW13. Qwen3.6-35B-A3B leads the public snapshot at 50.8%. BenchLM does not use these results to rank models overall.
Year
2026
Tasks
Out-of-distribution object understanding
Format
Detection and grounding
Difficulty
Robust visual grounding
ODINW-style scores matter because real deployment images often differ sharply from canonical internet photos. This benchmark checks whether object understanding transfers out of distribution.
Version
ODINW13 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 visual detection and grounding benchmark slice used to compare zero-shot object understanding across diverse domains.
Qwen3.6-35B-A3B by Alibaba currently leads with a score of 50.8% on ODINW13.
1 AI models have been evaluated on ODINW13 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.