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Scale Labs EnigmaEval (EnigmaEval)

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 EnigmaEval — September 29, 2026 snapshot

We mirror the published scale score view for EnigmaEval. claude-fable-5-high leads the public snapshot at 39.3%, followed by gpt-5.6-sol-high (37.1%) and gemini-3.1-pro-preview-high (36.8%). We do not use these results to rank models overall.

1

claude-fable-5-high

Anthropic

39.3%
2

gpt-5.6-sol-high

OpenAI

37.1%
3

gemini-3.1-pro-preview-high

Google

36.8%

5 modelsReasoningCurrentDisplay onlyUpdated September 29, 2026 snapshot

Scale score table (5 models)

Score
1
claude-fable-5-highAnthropic
39.3%
2
gpt-5.6-sol-highOpenAI
37.1%
3
gemini-3.1-pro-preview-highGoogle
36.8%
4
gemini-3.5-flash-highGoogle
25.4%
5
claude-opus-4-8-xhighAnthropic
23.5%

How 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: 5 sourced rows are currently displayable on this page; the leading published row is claude-fable-5-high at 39.3%.

Honest limit: This Scale table is display-only context, not benchmark provenance or a weighted model-only comparison.

EnigmaEval on Scale Labs

How BenchLM shows EnigmaEval

BenchLM mirrors 5 published rows from Scale Labs’ public EnigmaEval 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.

Snapshot

5 published rowsScale Labs sourceDisplay only
EnigmaEval on Scale Labs

The published EnigmaEval snapshot places claude-fable-5-high first at 39.3%. The third row is 2.5 points behind. The broader top-10 range is 15.8 points, so the table still separates the published systems.

5 models have been evaluated on EnigmaEval. 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. EnigmaEval is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About EnigmaEval

Year

2026

Tasks

5 published rows

Format

Published Scale leaderboard score

Difficulty

External agent and model evaluation

BenchLM mirrors 5 published rows from the EnigmaEval public table captured on September 29, 2026 snapshot.

Scale Labs leaderboardPublic benchmark source

Freshness and provenance

Version

EnigmaEval 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

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 EnigmaEval measure?

A Scale Labs public leaderboard mirrored as display-only reference data. It does not affect BenchLM rankings.

Which model leads the published EnigmaEval snapshot?

claude-fable-5-high currently leads the published EnigmaEval snapshot with 39.3% scale score. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on EnigmaEval?

The September 29, 2026 snapshot snapshot contains 5 AI models.

Last updated: September 29, 2026 snapshot · mirrored from the public benchmark leaderboard

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