Scale Labs SciPredict (SciPredict)
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 SciPredict — September 29, 2026 snapshot
We mirror the published scale score view for SciPredict. gemini-3-pro-preview leads the public snapshot at 25.3%, followed by Claude Opus 4.5 (23.1%) and Claude Sonnet 4.5 (22.6%). We do not use these results to rank models overall.
gemini-3-pro-preview
Claude Opus 4.5
Anthropic
Claude Sonnet 4.5
Anthropic
15 modelsKnowledgeCurrentDisplay onlyUpdated September 29, 2026 snapshot
Scale score table (15 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: 15 sourced rows are currently displayable on this page; the leading published row is gemini-3-pro-preview at 25.3%.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.
How BenchLM shows SciPredict
BenchLM mirrors 15 published rows from Scale Labs’ public SciPredict 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 SciPredict snapshot places gemini-3-pro-preview first at 25.3%. The third row is 2.7 points behind. The broader top-10 range is 7.3 points, so many of the published results sit in a relatively narrow band.
15 models have been evaluated on SciPredict. The benchmark falls in the Knowledge category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. SciPredict is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About SciPredict
Year
2026
Tasks
15 published rows
Format
Published Scale leaderboard score
Difficulty
External agent and model evaluation
BenchLM mirrors 15 published rows from the SciPredict public table captured on September 29, 2026 snapshot.
Freshness and provenance
Version
SciPredict 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 SciPredict measure?
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Which model leads the published SciPredict snapshot?
gemini-3-pro-preview currently leads the published SciPredict snapshot with 25.3% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on SciPredict?
The September 29, 2026 snapshot snapshot contains 15 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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