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legal benchmark

GDPval-Rubrics Leaderboard

GDPval-Rubrics evaluates AI model performance on economically valuable knowledge work tasks from the public GDPval dataset using public rubrics.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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GDPval-Rubrics Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIMiniMax M3MiniMaxScore74.78%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

GDPval-Rubrics Highlights

The leading models and scores on this benchmark.

Rank #1MiniMax M374.78%

The Top AI Models for GDPval-Rubrics

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis gdpval-rubrics 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
    MI
    MiniMax
    Score
    74.78%
    Price
    $0.30 input / $1.2 output per 1M tokens
    Speed
    Up to 6.61 tok/s via MiniMax

    Strengths

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

    Considerations

    • This result measures GDPval-Rubrics, not total model capability

Selection summary

Best AI Models for GDPval-Rubrics

MiniMax M3 currently leads GDPval-Rubrics with 74.78%. 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 GDPval-Rubrics?

What GDPval-Rubrics measures and how its scores work.

GDPval-Rubrics is a benchmark based on economically valuable knowledge work tasks drawn from the public GDPval dataset, with an environment aligned to the GDPval-AA scaffolding.

It measures performance using pointwise scoring based on public rubrics, reported as a Score ratio.

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
overall

LLM Stats. 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 74.78%.

What are the top three models on GDPval-Rubrics?

The current leaders are MiniMax M3 (74.78%).

Which GDPval-Rubrics model has the lowest official input price?

MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.

Which models are fastest among GDPval-Rubrics results?

The fastest matched records are MiniMax M3 (6.61 tok/s via MiniMax).

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 GDPval-Rubrics measure?

It measures performance using pointwise scoring based on public rubrics, reported as a Score ratio.

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.

MiniMax M3
Benchmark rank #1MiniMax M374.78% · $0.30 input / $1.2 output per 1M tokens