Scale Labs PropensityBench (PropensityBench)
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 PropensityBench — September 29, 2026 snapshot
We mirror the published scale score view for PropensityBench. Gemini 2.5 Pro leads the public snapshot at 79%, followed by gemini-2.0-flash (77.8%) and Qwen3-8B (75.2%). We do not use these results to rank models overall.
Gemini 2.5 Pro
gemini-2.0-flash
Qwen3-8B
Alibaba
14 modelsReasoningCurrentDisplay onlyUpdated September 29, 2026 snapshot
Scale score table (14 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: 14 sourced rows are currently displayable on this page; the leading published row is Gemini 2.5 Pro at 79%.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.
How BenchLM shows PropensityBench
BenchLM mirrors 14 published rows from Scale Labs’ public PropensityBench 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 PropensityBench snapshot places Gemini 2.5 Pro first at 79%. The third row is 3.8 points behind. The broader top-10 range is 45.8 points, so the table still separates the published systems.
14 models have been evaluated on PropensityBench. The benchmark falls in the Reasoning category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. PropensityBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About PropensityBench
Year
2026
Tasks
14 published rows
Format
Published Scale leaderboard score
Difficulty
External agent and model evaluation
BenchLM mirrors 14 published rows from the PropensityBench public table captured on September 29, 2026 snapshot.
Freshness and provenance
Version
PropensityBench 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 PropensityBench measure?
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Which model leads the published PropensityBench snapshot?
Gemini 2.5 Pro currently leads the published PropensityBench snapshot with 79% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on PropensityBench?
The September 29, 2026 snapshot snapshot contains 14 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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