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Benchmark profile

Vals Public Benefits Bench v1 (Public Benefits Bench v1)

Can AI help people navigate SNAP benefits?

Data verified

How 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.

13 Vals rows5 task viewsprivate datasetTasks: Overall, Both, Web Search, Multi Turn, NeitherDisplay only

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.

13 modelsExternal benchmark mirrorsCurrentDisplay onlyUpdated June 9, 2026

Public Benefits Bench v1 score table (13 models)

Score
1
71.65%
2
62.11%
3
MiniMax M3MiniMax
60.69%
4
58.52%
5
57.98%
6
GLM 5.1Zhipu AI
57.92%
7
57.58%
8
GPT-5.5OpenAI
57.24%
9
Kimi K2.6Moonshot AI
53.38%
11
Grok 4.3SpaceXAI
50.07%
12
49.53%
13
44.32%

The published Public Benefits Bench v1 snapshot places Claude Fable 5 first at 71.65%. The third row is 10.96 points behind. The broader top-10 range is 20.77 points, so the table still separates the published systems.

13 models have been evaluated on Public Benefits Bench v1. 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 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

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.

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.

Last updated: June 9, 2026 · mirrored from the public benchmark leaderboard

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