A multimodal retrieval and extraction benchmark over image-heavy task settings.
BenchLM is tracking ImageMining 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 ImageMining. GLM-5V-Turbo leads the public snapshot at 30.7% , followed by Kimi K2.5 (24.4%). BenchLM does not use these results to rank models overall.
Year
2026
Tasks
Visual retrieval tasks
Format
Image-grounded retrieval and extraction
Difficulty
Multimodal retrieval
BenchLM tracks ImageMining as a display-only reference for visual retrieval and extraction performance.
Version
ImageMining 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 multimodal retrieval and extraction benchmark over image-heavy task settings.
GLM-5V-Turbo currently leads the published ImageMining snapshot with a tracked score of 30.7%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
2 AI models are included in BenchLM's mirrored ImageMining snapshot, based on the public leaderboard captured on April 10, 2026.
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