Benchmark profile
Vals Public Benefits Bench v1.1 (Public Benefits Bench v1.1)
Can AI help people navigate SNAP benefits?
Data verifiedHow BenchLM shows Public Benefits Bench v1.1
BenchLM mirrors the public Vals AI Public Benefits Bench v1.1 leaderboard captured from https://www.vals.ai/benchmarks/public-benefits-bench and updated by Vals on July 22, 2026. The snapshot preserves overall scores, uncertainty, latency, cost-per-test metadata, and task-level scores where Vals publishes them.
Public Benefits Bench v1.1 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 v1.1 score on Public Benefits Bench v1.1 — July 22, 2026
BenchLM mirrors the published public benefits bench v1.1 score view for Public Benefits Bench v1.1. Claude Opus 5 leads the public snapshot at 76.93% , followed by Claude Fable 5 (70.43%) and Kimi K3 (68.27%). BenchLM does not use these results to rank models overall.
Claude Opus 5
Anthropic
anthropic/claude-opus-5
Claude Fable 5
Anthropic
anthropic/claude-fable-5
Kimi K3
Moonshot AI
kimi/kimi-k3
Public Benefits Bench v1.1 score table (23 models)
ScoreThe published Public Benefits Bench v1.1 snapshot places Claude Opus 5 first at 76.93%. The third row is 8.66 points behind. The broader top-10 range is 14.55 points, so the table still separates the published systems.
23 models have been evaluated on Public Benefits Bench v1.1. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. Public Benefits Bench v1.1 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About Public Benefits Bench v1.1
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 v1.1 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 v1.1 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.
FAQ
What does Public Benefits Bench v1.1 measure?
Can AI help people navigate SNAP benefits?
Which model leads the published Public Benefits Bench v1.1 snapshot?
Claude Opus 5 currently leads the published Public Benefits Bench v1.1 snapshot with 76.93% public benefits bench v1.1 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 v1.1?
23 AI models are included in BenchLM's mirrored Public Benefits Bench v1.1 snapshot, based on the public leaderboard captured on July 22, 2026.
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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