Source · Vals AI Version · vals-ai snapshot 2026-10-03 Scores · 126
Test details
Visible tradeoffsThis is an objective signal, so it is mainly about measurable task performance rather than public taste.
source
Vals AI
metric
Accuracy (%)
judge
Objective
direction
higher better
group id
vals_mmlu_pro_current
domain
Reasoning / math / science
What it measures vs what it misses
✓ Measures
Multiple-choice academic reasoning across broad subjects.
✗ Misses
Adjacent skills outside the benchmark task mix, latency, and cost.
Why this countsIt is one of the cleaner reads on deliberate reasoning strength rather than style or popularity.Same-test ruleThis percentile only compares models inside the exact benchmark/version group shown here. It is not a universal score.What it missesIt still misses product usability, latency, and whether the model stays correct in messy real workflows.
Leaderboard · this benchmark version
#1 · Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback)
Fallback benchmark identity is visible for context but excluded from default ranking.
Identity
benchmark proxy (0.58)
Parsed from Vals AI BenchmarkView overall scores. Vals slug: mmlu_pro; provider: Anthropic. Backfilled from Claude Sonnet 4 via approved benchmark identity mapping map-claude-sonnet-4-5-to-4.