Vals Public Benefits Bench v1 (Public Benefits Bench v1)
Can AI help people navigate SNAP benefits?
Data verifiedHow BenchLM shows Public Benefits Bench v1
BenchLM mirrors the public Vals AI Public Benefits Bench v1 leaderboard captured from https://www.vals.ai/benchmarks/public-benefits-bench-v1 and updated by Vals on June 9, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Public Benefits Bench v1 is display only on BenchLM. Vals proprietary or Vals-hosted aggregate views are useful context, but BenchLM does not use them as weighted ranking inputs or as a replacement for benchmark-native source records.
Public Benefits Bench v1 score on Public Benefits Bench v1 — June 9, 2026
BenchLM mirrors the published public benefits bench v1 score view for Public Benefits Bench v1. Claude Fable 5 leads the public snapshot at 71.65% , followed by Claude Opus 4.8 (62.11%) and MiniMax M3 (60.69%). BenchLM does not use these results to rank models overall.
Claude Fable 5
Anthropic
anthropic/claude-fable-5
Claude Opus 4.8
Anthropic
anthropic/claude-opus-4-8
MiniMax M3
MiniMax
minimax/MiniMax-M3
The published Public Benefits Bench v1 snapshot is tightly clustered at the top: Claude Fable 5 sits at 71.65%, while the third row is only 10.96 points behind. The broader top-10 spread is 20.77 points, so the benchmark still separates strong models even when the leaders cluster.
13 models have been evaluated on Public Benefits Bench v1. The benchmark falls in the External benchmark mirrors category. BenchLM tracks this category separately from its weighted global scoring system, so these results are best compared on the dedicated Korean benchmark views. Public Benefits Bench v1 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Public Benefits Bench v1
Year
2026
Tasks
SNAP public-benefits navigation tasks
Format
Accuracy score
Difficulty
Public-benefits policy navigation
BenchLM mirrors the public Vals AI Public Benefits Bench v1 leaderboard as display-only external evidence. The captured snapshot preserves overall scores, task-level scores where Vals publishes them, uncertainty, latency, and cost-per-test metadata. It is excluded from BenchLM weighted rankings.
BenchLM freshness & provenance
Version
Public Benefits Bench v1 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.
Public Benefits Bench v1 score table (13 models)
FAQ
What does Public Benefits Bench v1 measure?
Can AI help people navigate SNAP benefits?
Which model leads the published Public Benefits Bench v1 snapshot?
Claude Fable 5 currently leads the published Public Benefits Bench v1 snapshot with 71.65% public benefits bench v1 score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on Public Benefits Bench v1?
13 AI models are included in BenchLM's mirrored Public Benefits Bench v1 snapshot, based on the public leaderboard captured on June 9, 2026.
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