Benchmarks
331 sources · 1,258 models × 2,980 benchmarks · 155,643 scoresVals AI's Access to Justice Benchmark v1, built with support from NextLadder Ventures, tests whether a model can be a reliable first point of contact for a person facing a civil legal problem without a lawyer. In each of 252 test scenarios that legal aid experts adapted from real legal-aid questions in six states, the model can search the web, read pages and question a GPT-5 simulated client for up to five exchanges, and a Decider v1.2 judge grades the conversation against the expert rubric (about 15 criteria a scenario, roughly a quarter of them facts the model must find out). The score is the share of rubric criteria met, pooled over all scenarios: a must-find-out criterion whose fact the opening question gave or the client volunteered is set aside, a scenario a provider's content filter blocked scores zero, and the reported uncertainty is criterion-level.
559th strongest of 785 fitted benchmarks
Signal-to-noise +3.83
641st hardest of 785 fitted benchmarks
Capability needed ≲ 113.7
| # | Model | Setting | Score | Source |
|---|---|---|---|---|
| 1 | Claude Sonnet 5.5 | max | 74.9 | |
| 2 | Muse Wonder Full | max | 74.7 | |
| 3 | Claude Opus 5.5 | max | 73.8 | |
| 4 | GLM-5.3 | max | 73.7 | |
| 5 | Grok 4.7 | x-high | 73.7 | |
| 6 | MiniMax M3.1 Flash | max | 73.3 | |
| 7 | DeepSeek V4.1 Flash 1017 | max | 73.1 | |
| 8 | Muse Wonder | max | 73.0 | |
| 9 | DeepSeek V4.1 Flash | max | 72.9 | |
| 10 | Muse Spark 1.3 | x-high | 72.2 | |
| 11 | Grok 4.6 | high | 71.3 | |
| 12 | GLM-5.3 Flash | max | 71.1 | |
| 13 | MiMo-V2.6-Flash | not reported | 70.7 | |
| 14 | MiMo-V2.6-Pro | not reported | 70.0 | |
| 15 | MiniMax M3 | — | 69.8 | |
| 16 | Kimi K3.1 Pro | max | 69.5 | |
| 17 | Gemini 4 Argon | high | 68.5 | |
| 18 | Kimi K3 | max | 68.2 | |
| 19 | Gemini 3.8 Flash | high | 67.1 | |
| 20 | GPT-6.1 Sol | max | 65.8 | |
| 21 | GPT-5.6 Luna | max | 65.6 |