Models / Meta
Llama 4 Maverick
by Meta ·
meta-llama/llama-4-maverickLlama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
tool-usevisionreleased 2025-04-05
Legal score · raw
-
not yet benchmarked
Context
1.05M
max output 16K
Input
$0.20
per 1M tokens
Output
$0.80
per 1M tokens
Suite cost
-
run the suite to see
Benchmark results
| Task | Category | Raw | Juiced | Correct | Latency | Cost | Ran |
|---|---|---|---|---|---|---|---|
| Hearsay Identification | Evidence | - | - | - | - | - | - |
| Bluebook Citation Format | Research & Writing | - | - | - | - | - | - |
| Federal Civil Procedure | Procedure | - | - | - | - | - | - |
| Limitations Arithmetic | Procedure | - | - | - | - | - | - |
| Contract Clause Classification | Contracts | - | - | - | - | - | - |
| Citation Hallucination Resistance | Reliability | - | - | - | - | - | - |
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) | 19.0% (57/300) | 300 | 95% CI 15.0% to 23.8% | 2026-08-22 |
| Statute pinpoint, exact section (with DocketBuster retrieval) | 78.5% (241/307) | 307 | 95% CI 73.6% to 82.7% | 2026-08-24 |
| Say-nothing rate (declines to bluff when the answer is not in the record) | 100.0% | 218 | 95% CI 98.3% to 100.0% | 2026-08-22 |
| Abstained on statute pinpoint | 9.4% (29/307) | 307 | count, no interval reported | 2026-08-24 |
| Coaching quality (GW-14x, 0 to 8) | 6.56 / 8 | - | rubric mean, no interval reported | 2026-08-23 |
Source files: hard-llm-ortier-llama4mav.json, gw14x-ortier-llama4mav.json, hard-llm-level-llama4mav-statute_rag.json. Raw model name in source: meta-llama/llama-4-maverick.