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legal benchmark

GDPval-Rubrics

GDPval-Rubrics evaluates AI model performance on economically valuable knowledge work tasks drawn from the public GDPval dataset. It uses pointwise scoring based on public rubrics, with the environment aligned to the GDPval-AA scaffolding.

Updated Aug 11, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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GDPval-Rubrics Ranking

Higher score ranks better on this benchmark.

1 rows
Columns

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01MIMiniMax M3MiniMax74.8%100.0%1CAug 11, 2026

GDPval-Rubrics Highlights

The leading models and scores on this benchmark.

Rank #1MiniMax M374.8%

What is GDPval-Rubrics?

What GDPval-Rubrics measures and how its scores work.

GDPval-Rubrics evaluates AI model performance on economically valuable knowledge work tasks drawn from the public GDPval dataset. It uses pointwise scoring based on public rubrics, with the environment aligned to the GDPval-AA scaffolding.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
GDPval-Rubrics
Modality
text
Primary category
legal
Score direction
higher
LLMBoard eligible
No
Evaluation key
gdpval-rubrics|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about GDPval-Rubrics.

Which model scores highest on GDPval-Rubrics?

MiniMax M3 is currently ranked first with 74.8%.

What does GDPval-Rubrics measure?

GDPval-Rubrics evaluates AI model performance on economically valuable knowledge work tasks drawn from the public GDPval dataset. It uses pointwise scoring based on public rubrics, with the environment aligned to the GDPval-AA scaffolding.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 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.