multimodal benchmark
BenchCAD (with Python tool)
BenchCAD variant evaluated with access to a Python tool for programmatic CAD reasoning.
Updated Aug 11, 2026
Models3
Model coverage3
MetricScore
EvidenceB
BenchCAD (with Python tool) Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 83.4% | 100.0% | 3 | C | |
| 02 | OP | 78.2% | 50.0% | 3 | C | |
| 03 | OP | 73.9% | 0.0% | 3 | C |
BenchCAD (with Python tool) Score Distribution
A closer view of the leading scores on this benchmark.
BenchCAD (with Python tool) Highlights
The leading models and scores on this benchmark.
What is BenchCAD (with Python tool)?
What BenchCAD (with Python tool) measures and how its scores work.
BenchCAD variant evaluated with access to a Python tool for programmatic CAD reasoning.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- BenchCAD (with Python tool)
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- benchcad-with-python-tool|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about BenchCAD (with Python tool).
Which model scores highest on BenchCAD (with Python tool)?
GPT-5.6 Sol is currently ranked first with 83.4%.
What does BenchCAD (with Python tool) measure?
BenchCAD variant evaluated with access to a Python tool for programmatic CAD reasoning.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.