The FreeCAD Fix benchmark offers a more rigorous evaluation for LLMs by employing a deterministic geometry oracle instead of an LLM judge. This method ensures that model performance is measured by the actual output of repaired FreeCAD scripts, rather than subjective assessments. The benchmark breaks down scores across seven specific rubrics, such as Script Validity and Geometry Validity, and provides a public transcript of each model's response for transparency and auditability. This approach allows practitioners to make more informed decisions when selecting models for tasks requiring verifiable outputs, like code generation or CAD repair. AI
IMPACT Provides a more reliable method for evaluating LLMs on tasks with verifiable outputs, aiding model selection for practical applications.
RANK_REASON The item describes a new benchmark for evaluating LLMs, including methodology and initial results. [lever_c_demoted from research: ic=1 ai=1.0]
- DeepSeek V4-Pro
- FreeCAD
- FreeCAD Fix
- GLM-5.2
- lforla
- Nemotron
- openCode
- OpenCode Zen
- OpenRouter
- Qwen 3.8-27B
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