A visual detection and grounding benchmark slice used to compare zero-shot object understanding across diverse domains.
As of March 2026, Qwen3.6 Plus leads the ODINW13 leaderboard with 51.8% , followed by Qwen3.5 397B (47.0%) and Gemini 3 Pro (46.3%).
Qwen3.6 Plus
Alibaba
Qwen3.5 397B
Alibaba
Gemini 3 Pro
According to BenchLM.ai, Qwen3.6 Plus leads the ODINW13 benchmark with a score of 51.8%, followed by Qwen3.5 397B (47.0%) and Gemini 3 Pro (46.3%). The scores show moderate spread, with meaningful differences between the top tier and mid-tier models.
3 models have been evaluated on ODINW13. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. ODINW13 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
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.
Qwen3.6 launch benchmarksVersion
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 Plus by Alibaba currently leads with a score of 51.8% on ODINW13.
3 AI models have been evaluated on ODINW13 on BenchLM.
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