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Remote Labor Index (RLI)

Metric: Score (higher is better)Introduced: 2026

Remote Labor Index measures success on remote knowledge-work tasks. Anthropic reports Fable 5.2 at default/high effort in the 2026-11-09 launch table and system card Table 8.1.A.

Models ranked

1

tracked on this benchmark

Score band

41.3 – 41.3

best → lowest tracked

Snapshot trend

—

need ≥2 snapshots

Leaderboard

Tracked models ranked by Score (higher is better).

Compare candidates
#Model variant and provenanceScore
1

Configuration: claude-fable-5-2 (default / high effort)

Version: Remote Labor Index (RLI)Harness: Scale AI default configuration: high effort, 200k-token context window, 32k tokens per responseEvaluator: AnthropicObserved: Nov 9, 2026Confidence: self-reportedSource

Notes: Anthropic self-reported (lab-published). System card + launch table, retrieved 2026-11-09. Does not move /best rankings (self-reported / raon rule). Launch table: 41.3% High effort. System card Table 8.1.A footnote: RLI uses default effort settings (Fable 5.2's default effort is high, so these agree). Lab-published.

41.3

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Related benchmarks

Last reviewed: Nov 9, 2026

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