Scale Labs HiL-Bench (HiL-Bench)
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 HiL-Bench — September 29, 2026 snapshot
We mirror the published scale score view for HiL-Bench. Claude Fable 5.1 leads the public snapshot at 61.5%, followed by Claude Opus 5 (57%) and Claude Fable 5 (56.3%). We do not use these results to rank models overall.
Claude Fable 5.1
Anthropic
Claude Opus 5
Anthropic
Claude Fable 5
Anthropic
17 modelsAgenticCurrentDisplay onlyUpdated September 29, 2026 snapshot
Scale score table (17 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: 17 sourced rows are currently displayable on this page; the leading published row is Claude Fable 5.1 at 61.5%.
Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.
How BenchLM shows HiL-Bench
BenchLM mirrors 17 published rows from Scale Labs’ public HiL-Bench 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 HiL-Bench snapshot places Claude Fable 5.1 first at 61.5%. The third row is 5.2 points behind. The broader top-10 range is 26.2 points, so the table still separates the published systems.
17 models have been evaluated on HiL-Bench. The benchmark falls in the Agentic category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. HiL-Bench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About HiL-Bench
Year
2026
Tasks
17 published rows
Format
Published Scale leaderboard score
Difficulty
External agent and model evaluation
BenchLM mirrors 17 published rows from the HiL-Bench public table captured on September 29, 2026 snapshot.
Freshness and provenance
Version
HiL-Bench 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 HiL-Bench measure?
A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.
Which model leads the published HiL-Bench snapshot?
Claude Fable 5.1 currently leads the published HiL-Bench snapshot with 61.5% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on HiL-Bench?
The September 29, 2026 snapshot snapshot contains 17 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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