knowledge benchmark
Harvey LAB (Vals) Leaderboard
Harvey LAB (Vals) evaluates AI systems on complex law-firm style tasks and is reported by Vals.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Harvey LAB (Vals) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score15.80% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
Harvey LAB (Vals) Highlights
The leading models and scores on this benchmark.
The Top AI Models for Harvey LAB (Vals)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis harvey lab (vals) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XAxAI
- Score
- 15.80%
- Price
- $2.0 input / $6.0 output per 1M tokens
- Speed
- Up to 132.69 tok/s via xAI
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Harvey LAB (Vals), not total model capability
Selection summary
Best AI Models for Harvey LAB (Vals)
Grok 4.6 currently leads Harvey LAB (Vals) with 15.80%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is Harvey LAB (Vals)?
What Harvey LAB (Vals) measures and how its scores work.
Harvey LAB (Vals) is a professional legal-work evaluation of AI systems on complex law-firm style tasks.
It reports a Score measured as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Harvey LAB (Vals)
- Modality
- text
- Primary category
- knowledge
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Harvey LAB (Vals).
Which model scores highest on Harvey LAB (Vals)?
Grok 4.6 is currently ranked first with 15.80%.
What are the top three models on Harvey LAB (Vals)?
The current leaders are Grok 4.6 (15.80%).
Which Harvey LAB (Vals) model has the lowest official input price?
Grok 4.6 has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.
Which models are fastest among Harvey LAB (Vals) results?
The fastest matched records are Grok 4.6 (132.69 tok/s via xAI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.