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knowledge benchmark

Harvey LAB (Vals) Leaderboard

Harvey LAB (Vals) evaluates AI systems on complex law-firm style tasks and is reported by Vals.

Updated Oct 23, 2026

Models2
Model coverage2
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

Harvey LAB (Vals) Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok 4.7xAIScore19.60%Percentile100.00%Participants2EvidenceCEvaluatedOct 22, 2026
Rank02ModelXAGrok 4.6xAIScore15.80%Percentile0.00%Participants2EvidenceCEvaluatedOct 22, 2026

Harvey LAB (Vals) Highlights

The leading models and scores on this benchmark.

Rank #1Grok 4.719.60%Rank #2Grok 4.615.80%

Harvey LAB (Vals) Score Distribution

A closer view of the leading scores on this benchmark.

Harvey LAB (Vals)

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.

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 4.7 is currently ranked first with 19.60%.

What are the top three models on Harvey LAB (Vals)?

The current leaders are Grok 4.7 (19.60%) and Grok 4.6 (15.80%).

Which Harvey LAB (Vals) model has the lowest official input price?

Grok 4.7 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?

No matched runtime record is currently available.

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.

What does Harvey LAB (Vals) measure?

It reports a Score measured as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

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.

  1. 01
    XA
    Grok 4.7xAI
    Score
    19.60%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Harvey LAB (Vals), not total model capability
  2. 02
    XA
    Grok 4.6xAI
    Score
    15.80%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

    • Ranks #2 of 2 compared models
    • 0th 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 4.7 currently leads Harvey LAB (Vals) with 19.60%. 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.

Benchmark rank #1Grok 4.719.60% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #2Grok 4.615.80% · $2.0 input / $6.0 output per 1M tokens