legal benchmark
GDPval-Rubrics Leaderboard
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 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
GDPval-Rubrics Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score74.8% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
GDPval-Rubrics Highlights
The leading models and scores on this benchmark.
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's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MIMiniMax M3MiniMax
- Score
- 74.8%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 214 tok/s via Together
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 74.8%. 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 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.