Benchmark profile
Facts-VLM
A grounded multimodal factuality benchmark for evidence-linked answer correctness.
Data verifiedHow BenchLM shows Facts-VLM right now
BenchLM is tracking Facts-VLM 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.
Tracked score on Facts-VLM — July 29, 2026
BenchLM mirrors the published tracked score view for Facts-VLM. GLM-5V-Turbo leads the public snapshot at 58.6% , followed by Kimi K2.5 (57.8%). BenchLM does not use these results to rank models overall.
Tracked score table (2 models)
ScoreAbout Facts-VLM
Year
2026
Tasks
Grounded factuality tasks
Format
Evidence-linked multimodal factuality
Difficulty
Grounded multimodal factuality
BenchLM stores Facts-VLM as a display-only benchmark reference when exact provider tables are available.
BenchLM freshness & provenance
Version
Facts-VLM 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.
FAQ
What does Facts-VLM measure?
A grounded multimodal factuality benchmark for evidence-linked answer correctness.
Which model leads the published Facts-VLM snapshot?
GLM-5V-Turbo currently leads the published Facts-VLM snapshot with 58.6% tracked score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Facts-VLM?
2 AI models are included in BenchLM's mirrored Facts-VLM snapshot, based on the public leaderboard captured on July 29, 2026.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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