# Public Benefits Bench v1 / neither

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Can AI help people navigate SNAP benefits?

Canonical URL: https://benchize.com/benchmarks/vals-ai%3Apublic-benefits-bench-v1%3Aneither
Last updated: Wed, 21 Oct 2026 18:52:20 GMT

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Can AI help people navigate SNAP benefits?

Professional work · Models tested: 8 · Score publishers: Vals AI

## Model results

| # | Model | Score | ± | Cost | Latency |  |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Claude Fable 5](https://benchize.com/models/claude-fable-5-max.md)Max | 63.4% | SE ±1.25 pp | $0.15 | 143.58source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 63.396 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.145973 \| USD \| per_test \| Lower is better \| \| `latency` \| 143.58 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.25 pp sourcePopulation 13 stderr 1.253 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label anthropic/claude-fable-5 Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/anthropic~1claude-fable-5` |  |  |  |  |  |  |
| 2 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 53.11% | SE ±1.3 pp | $0.27 | 148.61source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 53.112 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.269121 \| USD \| per_test \| Lower is better \| \| `latency` \| 148.613 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning Not reported Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.3 pp sourcePopulation 13 stderr 1.298 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label anthropic/claude-opus-4-8 Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/anthropic~1claude-opus-4-8` |  |  |  |  |  |  |
| 3 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash-high.md)High | 50.27% | SE ±1.3 pp | $0.06 | 54.33source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 50.271 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.062674 \| USD \| per_test \| Lower is better \| \| `latency` \| 54.325 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 65536 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.3 pp sourcePopulation 13 stderr 1.301 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label google/gemini-3.5-flash Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/google~1gemini-3.5-flash` |  |  |  |  |  |  |
| 4 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 49.73% | SE ±1.3 pp | $0.26 | 224.05source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 49.729 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.257766 \| USD \| per_test \| Lower is better \| \| `latency` \| 224.052 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 128000 provider OpenAI reasoning Not reported Reasoning effort xhigh Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.3 pp sourcePopulation 13 stderr 1.301 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label openai/gpt-5.5 Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/openai~1gpt-5.5` |  |  |  |  |  |  |
| 5 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview-high.md)High | 47.43% | SE ±1.3 pp | $0.03 | 34.27source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 47.429 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.032702 \| USD \| per_test \| Lower is better \| \| `latency` \| 34.272 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 65536 provider Google reasoning Not reported Reasoning effort high Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.3 pp sourcePopulation 13 stderr 1.299 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label google/gemini-3.1-pro-preview Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/google~1gemini-3.1-pro-preview` |  |  |  |  |  |  |
| 6 | [Claude Sonnet 4.6](https://benchize.com/models/claude-sonnet-4-6-max.md)Max | 45.6% | SE ±1.3 pp | $0.11 | 137.81source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 45.602 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.105211 \| USD \| per_test \| Lower is better \| \| `latency` \| 137.81 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort max harness Not reported maxOutputTokens 128000 provider Anthropic reasoning true Reasoning effort max Temperature 1 topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.3 pp sourcePopulation 13 stderr 1.296 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label anthropic/claude-sonnet-4-6 Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/anthropic~1claude-sonnet-4-6` |  |  |  |  |  |  |
| 7 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro-max.md)Max | 43.23% | SE ±1.29 pp | $0.03 | 143.18source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 43.234 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.027685 \| USD \| per_test \| Lower is better \| \| `latency` \| 143.183 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 384000 provider DeepSeek reasoning Not reported Reasoning effort max Temperature Not reported topP Not reported verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.29 pp sourcePopulation 13 stderr 1.289 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label deepseek/deepseek-v4-pro Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/deepseek~1deepseek-v4-pro` |  |  |  |  |  |  |
| 8 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 40.19% | SE ±1.28 pp | $0.01 | 105.5source duration |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 40.189 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.010008 \| USD \| per_test \| Lower is better \| \| `latency` \| 105.499 \| source_duration \| reported_duration \| Lower is better \| ### Configuration computeEffort Not reported harness Not reported maxOutputTokens 512000 provider MiniMax reasoning Not reported Reasoning effort unknown Temperature 1 topP 0.95 verbosity Not reported ### Reported statistics Uncertainty Standard error: ±1.28 pp sourcePopulation 13 stderr 1.275 tokenTotals Not reported ### Source [Original source](https://www.vals.ai/_astro/benchmark_view_snap_v1.BPa0Hrre.json) Source Vals AI Original model label minimax/MiniMax-M3 Source version 1 Observed 2026-10-21T16:46:18.363Z Evidence SHA-256 `b85e2b3cbdf03e13e2ffdb27ce4f108003a548d705a24ae26a0a115e2027475d` Source locator `/tasks/neither/minimax~1MiniMax-M3` |  |  |  |  |  |  |

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Cite as: Public Benefits Bench v1 / neither — Benchize, https://benchize.com/benchmarks/vals-ai%3Apublic-benefits-bench-v1%3Aneither (retrieved 2026-10-21)
