Models / Meta
Llama 4 Scout
by Meta ·
meta-llama/llama-4-scoutLlama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
tool-usevisionreleased 2025-04-05
Legal score · raw
-
not yet benchmarked
Context
1.31M
max output 16K
Input
$0.13
per 1M tokens
Output
$0.38
per 1M tokens
Suite cost
-
no run recorded
Benchmark results
This model has not been run through the suite yet. See Humanity's Last Lawsuit for the benchmark models are ranked on.
Measured by DocketBuster
These numbers come from DocketBuster's own legal battery, not from DocketRouter's suite. Latest run per metric, with n and a 95% Wilson interval where the source reports one. See docketbuster.com/benchmarks.
| Metric | Value | n | Interval | Measured |
|---|---|---|---|---|
| Statute pinpoint, exact section (no retrieval) | 9.1% (28/307) | 307 | 95% CI 6.4% to 12.9% | 2026-08-24 |
| Statute pinpoint, exact section (with DocketBuster retrieval) | 76.9% (236/307) | 307 | 95% CI 71.8% to 81.2% | 2026-08-24 |
| Say-nothing rate (declines to bluff when the answer is not in the record) | 100.0% | 600 | 95% CI 99.4% to 100.0% | 2026-08-25 |
| Abstained on statute pinpoint | 7.2% (22/307) | 307 | count, no interval reported | 2026-08-24 |
| Coaching quality (rubric, 0 to 8) | 6.64 / 8 | - | rubric mean, no interval reported | 2026-08-24 |