CAD-Bench
← back
SEAL-001 · Sealing-Groove Design · difficulty 4/5

AS568-214 face-seal groove

sha256:44c01ef0b1199aa0

§1Prompt verbatim

Design the female face-seal groove for an AS568-214 O-ring (Ø 0.984 in cross-section 0.139 in / 3.53 mm). Sealed pressure 10 MPa static, hydraulic. Apply standard squeeze (16-25 %) and groove-fill (75-85 %).

§2Ground-truth spec

shells1
watertighttrue
manifoldtrue
acceptance ε±0.05 mm
featuresgroove_AS568-214

§3Reference render

canonical reference · drag to orbit, scroll to zoom

Visualisation is rebuilt in-browser from the canonical parametric description. Scoring is performed against the held-out reference STEP file (sha-256 fingerprint above).

§4Per-agent renders

reference + 10 agent outputs · scored against the held-out STEP
vol IoU · BREP · manifold
canonical reference
REFERENCE
canonical · ground truth
1.000100
Human Baseline (Mech-E)
Human Baseline (Mech-E)
n=4 senior engineers
0.8329
Claude Opus 4.7 → CadQuery
Claude Opus 4.7 → CadQuery
Anthropic + CadQuery 2.4
0.6898
OpenAI o4 (reasoning) → CadQuery
OpenAI o4 (reasoning) → CadQuery
OpenAI + CadQuery 2.4
0.6608
GPT-5 → CadQuery
GPT-5 → CadQuery
OpenAI + CadQuery 2.4
0.6479
DeepSeek R1 (reasoning) → CadQuery
DeepSeek R1 (reasoning) → CadQuery
DeepSeek + CadQuery 2.4
0.62411
Adam (CADcrush)
Adam (CADcrush)
CADcrush
0.6188
Zoo Text-to-CAD
Zoo Text-to-CAD
Zoo (KittyCAD)
0.59311
Claude Sonnet 4.6 → CadQuery
Claude Sonnet 4.6 → CadQuery
Anthropic + CadQuery 2.4
0.5909
Claude Opus 4.7 → OpenSCAD
Claude Opus 4.7 → OpenSCAD
Anthropic + OpenSCAD 2024.06
0.5450
Gemini 2.5 Flash → CadQuery
Gemini 2.5 Flash → CadQuery
Google + CadQuery 2.4
0.50513
CAD-Coder R1
CAD-Coder R1
CAD-Coder Labs (research)
0.45812
Qwen3 Coder → CadQuery
Qwen3 Coder → CadQuery
Alibaba + CadQuery 2.4
0.38413
Gemini 2.5 Pro → OpenSCAD
Gemini 2.5 Pro → OpenSCAD
Google + OpenSCAD 2024.06
0.3590
GPT-5 Mini → OpenSCAD
GPT-5 Mini → OpenSCAD
OpenAI + OpenSCAD 2024.06
0.28618
Claude Haiku 4.5 → CadQuery
Claude Haiku 4.5 → CadQuery
Anthropic + CadQuery 2.4
0.26917
DeepCAD
DeepCAD
Wu et al. 2021 (research)
0.19726
Llama 3.3 70B → OpenSCAD
Llama 3.3 70B → OpenSCAD
Meta + OpenSCAD 2024.06
0.18228
Trellis 3D
Trellis 3D
Microsoft Research
0.0530
Hunyuan3D-2
Hunyuan3D-2
Tencent
0.007104
Spline AI
Spline AI
Spline.design
0.0000

Each tile is rebuilt from the canonical parametric description and degraded to match the agent's scored profile (tessellation, non-manifold face removal, dimension scale jitter, missing features). Image-only diffusion models render visually plausible meshes but score in the single digits on BREP fidelity — the geometry is not a manifold solid even when the render reads clean.

§5Per-agent metrics

ranked by Vol IoU · same data as the leaderboard, restricted to this task
AgentWatert.Manif.Named-Dimension RMSEStandards ComplianceP@1p50latencycost
Human Baseline (Mech-E)0.9690.1140.9471.000658.5s$5.118
Claude Opus 4.7 → CadQuery0.9500.2640.7300.00049.2s$0.376
OpenAI o4 (reasoning) → CadQuery0.9460.2510.7410.000107.1s$1.014
GPT-5 → CadQuery0.9560.2260.6740.00029.2s$0.175
DeepSeek R1 (reasoning) → CadQuery0.9390.3170.5330.000120.5s$0.043
Adam (CADcrush)0.9370.1600.7110.0009.5s$0.301
Zoo Text-to-CAD0.9450.1590.6960.0006.7s$0.180
Claude Sonnet 4.6 → CadQuery0.9370.1860.6250.00021.2s$0.080
Claude Opus 4.7 → OpenSCAD0.9280.2550.6180.00023.3s$0.308
Gemini 2.5 Flash → CadQuery0.9290.2870.5690.00015.1s$0.018
CAD-Coder R10.9140.2240.4740.0005.0s$0.004
Qwen3 Coder → CadQuery×0.9120.3350.4740.00013.0s$0.035
Gemini 2.5 Pro → OpenSCAD×0.9080.2810.5080.00030.1s$0.073
GPT-5 Mini → OpenSCAD×0.8960.2950.3740.00012.1s$0.010
Claude Haiku 4.5 → CadQuery×0.8930.3040.4570.0006.9s$0.016
DeepCAD×0.8810.2910.2650.0004.7s$0.022
Llama 3.3 70B → OpenSCAD×0.8770.3960.3400.00025.3s$0.023
Trellis 3D×0.8580.5420.0470.0008.5s$0.054
Hunyuan3D-2×0.8510.5030.0450.00032.5s$0.059
Spline AI×0.8500.5860.0200.0005.9s$0.043