A visual detection and grounding benchmark slice used to compare zero-shot object understanding across diverse domains.
BenchLM is tracking ODINW13 in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
BenchLM mirrors the published tracked score view for ODINW13. Qwen3.6 Plus leads the public snapshot at 51.8% , followed by Qwen3.5 397B (47.0%) and Gemini 3 Pro (46.3%). BenchLM does not use these results to rank models overall.
Qwen3.6 Plus
Alibaba
qwen3-6-plus
Qwen3.5 397B
Alibaba
qwen3-5-397b
Gemini 3 Pro
gemini-3-pro
The published ODINW13 snapshot is tightly clustered at the top: Qwen3.6 Plus sits at 51.8%, while the third row is only 5.5 points behind. The broader top-10 spread is 5.5 points, so many of the published scores sit in a relatively narrow band.
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.
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 Plus currently leads the published ODINW13 snapshot with a tracked score of 51.8%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
3 AI models are included in BenchLM's mirrored ODINW13 snapshot, based on the public leaderboard captured on April 10, 2026.
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