# Public Benefits Bench v1 / overall > Source: Benchize (https://benchize.com) — https://benchize.com/benchmarks/vals-ai%3Apublic-benefits-bench-v1%3Aoverall. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/benchmarks/vals-ai%3Apublic-benefits-bench-v1%3Aoverall. Can AI help people navigate SNAP benefits? Canonical URL: https://benchize.com/benchmarks/vals-ai%3Apublic-benefits-bench-v1%3Aoverall Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. 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 | 71.65% | SE ±1.17 pp | $1.05 | 1,038.34source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 71.651 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.054998 \| USD \| per_test \| Lower is better \| \| `latency` \| 1038.337 \| 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: ±1.17 pp sourcePopulation 13 stderr 1.172 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/overall/anthropic~1claude-fable-5` | | | | | | | | 2 | [Claude Opus 4.8](https://benchize.com/models/claude-opus-4-8-max.md)Max | 62.11% | SE ±1.26 pp | $1.32 | 597.69source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 62.111 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 1.316771 \| USD \| per_test \| Lower is better \| \| `latency` \| 597.691 \| 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: ±1.26 pp sourcePopulation 13 stderr 1.262 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/overall/anthropic~1claude-opus-4-8` | | | | | | | | 3 | [MiniMax M3](https://benchize.com/models/minimax-m3.md) | 60.69% | SE ±1.27 pp | $0.2 | 705.54source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 60.69 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.198621 \| USD \| per_test \| Lower is better \| \| `latency` \| 705.544 \| 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: ±1.27 pp sourcePopulation 13 stderr 1.27 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/overall/minimax~1MiniMax-M3` | | | | | | | | 4 | [Claude Sonnet 4.6](https://benchize.com/models/claude-sonnet-4-6-max.md)Max | 58.53% | SE ±1.28 pp | $0.82 | 787.61source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 58.525 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.816309 \| USD \| per_test \| Lower is better \| \| `latency` \| 787.612 \| 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: ±1.28 pp sourcePopulation 13 stderr 1.282 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/overall/anthropic~1claude-sonnet-4-6` | | | | | | | | 5 | [Gemini 3.5 Flash](https://benchize.com/models/gemini-3-5-flash-high.md)High | 57.98% | SE ±1.28 pp | $0.78 | 273.99source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 57.984 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.775836 \| USD \| per_test \| Lower is better \| \| `latency` \| 273.985 \| 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: ±1.28 pp sourcePopulation 13 stderr 1.284 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/overall/google~1gemini-3.5-flash` | | | | | | | | 6 | [DeepSeek V4 Pro](https://benchize.com/models/deepseek-v4-pro-max.md)Max | 57.58% | SE ±1.29 pp | $0.36 | 977.87source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 57.578 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.359673 \| USD \| per_test \| Lower is better \| \| `latency` \| 977.871 \| 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 1.286 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/overall/deepseek~1deepseek-v4-pro` | | | | | | | | 7 | [GPT-5.5](https://benchize.com/models/gpt-5-5-xhigh.md)Extra high | 57.24% | SE ±1.29 pp | $2.02 | 1,580.53source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 57.24 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 2.018596 \| USD \| per_test \| Lower is better \| \| `latency` \| 1580.527 \| 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: ±1.29 pp sourcePopulation 13 stderr 1.287 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/overall/openai~1gpt-5.5` | | | | | | | | 8 | [Gemini 3.1 Pro Preview](https://benchize.com/models/gemini-3-1-pro-preview-high.md)High | 50.88% | SE ±1.3 pp | $0.3 | 177.91source duration | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `accuracy` \| 50.88 \| percent \| reported \| Higher is better \| \| `cost_per_test` \| 0.300864 \| USD \| per_test \| Lower is better \| \| `latency` \| 177.913 \| 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 1.3 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/overall/google~1gemini-3.1-pro-preview` | | | | | | | --- Cite as: Public Benefits Bench v1 / overall — Benchize, https://benchize.com/benchmarks/vals-ai%3Apublic-benefits-bench-v1%3Aoverall (retrieved 2026-10-21)