Scale Labs Visual-Language Understanding (Visual-Language Understanding)
We show this table for reference; we do not rank on it.
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Scale score on Visual-Language Understanding — September 29, 2026 snapshot
We mirror the published scale score view for Visual-Language Understanding. Gemini 2.5 Pro Experimental (March 2025) leads the public snapshot at 54.6%, followed by gemini-2.5-pro-preview-06-05 (54.6%) and GPT-5.4 Pro (53.9%). We do not use these results to rank models overall.
Gemini 2.5 Pro Experimental (March 2025)
gemini-2.5-pro-preview-06-05
GPT-5.4 Pro
OpenAI
63 modelsMultimodal & GroundedCurrentDisplay onlyUpdated September 29, 2026 snapshot
Scale score table (63 models)
ScoreHow to read this leaderboard
Compare the published configurations as complete evaluation systems. The source can combine a base model, agent scaffold, tools, budget, and inference setting in each result.
Operator receipt: 63 sourced rows are currently displayable on this page; the leading published row is Gemini 2.5 Pro Experimental (March 2025) at 54.6%.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.
How BenchLM shows Visual-Language Understanding
BenchLM mirrors 63 published rows from Scale Labs’ public Visual-Language Understanding leaderboard, captured on September 29, 2026 snapshot.
The table is display only. It is useful context for a published agent or model configuration, but it does not enter BenchLM’s overall or category rankings.
The published Visual-Language Understanding snapshot places Gemini 2.5 Pro Experimental (March 2025) first at 54.6%. The third row is 0.8 points behind. The broader top-10 range is 3.9 points, so many of the published results sit in a relatively narrow band.
63 models have been evaluated on Visual-Language Understanding. The benchmark falls in the Multimodal & Grounded category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Visual-Language Understanding is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Visual-Language Understanding
Year
2026
Tasks
63 published rows
Format
Published Scale leaderboard score
Difficulty
External agent and model evaluation
BenchLM mirrors 63 published rows from the Visual-Language Understanding public table captured on September 29, 2026 snapshot.
Freshness and provenance
Version
Visual-Language Understanding 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.
Questions
What does Visual-Language Understanding measure?
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Which model leads the published Visual-Language Understanding snapshot?
Gemini 2.5 Pro Experimental (March 2025) currently leads the published Visual-Language Understanding snapshot with 54.6% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Visual-Language Understanding?
The September 29, 2026 snapshot snapshot contains 63 AI models.
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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