AiCadGen vs Pixal3d.ai

AiCadGen and Pixal3d.ai are both 3d generation tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AiCadGen

The core workflow is prompt-in, parametric-geometry-out: the vendor states the AI writes parametric code, runs it in a sandbox, and produces STEP, STL, DXF, OBJ, or PDF output — not a mesh render pretending to be CAD. Chat refinement handles incremental edits without reopening a feature tree. The system covers parts, multi-part assemblies with per-part STEP files and a mate-intent manifest, and floor plans with MEP overlays to AS1100, ISO, and ASME standards. The free tier runs on a credit pool, so complex or repeated generations will exhaust credits before a project is production-ready. Teams with high iteration volume hit the credit ceiling and move to a paid tier or reconsider the workflow entirely.

Pixal3d.ai

The tool accepts a single image and returns a GLB file — no multi-view capture, no turntable shoot. It runs two parallel generation lanes: the Pixal3D back-projection path and a Trellis 2 alternative, so you can compare both outputs before committing cleanup time to either. Quality presets control texture resolution (up to 2048) and vertex budget (up to 200,000 targets), which means the output ceiling is high enough for final review, not just shape prototyping. Every generation consumes credits; there is no free tier visible in the interface — you authenticate, spend credits, and download. The research weights are available on GitHub under TencentARC, so teams with the infrastructure to run inference locally are not locked to the hosted service.

Attribute	AiCadGen	Pixal3d.ai
Pricing	Paid	Paid
Price	from $12/mo	$9.99/mo
Free trial	No	No
Open source	No	No
Has API	Yes	No
Self-hosted option	No	Yes
Platforms	Web	Web (browser)
Released	—	2026-05
Pros	Five export formats (STEP, STL, DXF, OBJ, PDF) from a single generation, so a maker can send the STL to a slicer and the STEP to a machine shop without a conversion step in between. Chat-based iteration updates geometry in plain English rather than requiring feature-tree edits, which means a design revision that previously cost thirty minutes of sketch debugging resolves in seconds. Multi-part assembly output includes a mate-intent manifest alongside per-part STEP files, so the exported package carries structural intent rather than forcing the receiving engineer to reconstruct relationships manually. MEP overlay generation works from an uploaded PDF or photo of an existing plan, which means architects and drafters can layer HVAC, electrical, or structural services onto a scanned drawing instead of redrawing from scratch. A free credit tier with no card requirement lets students and makers validate the tool against a real design brief before committing, which avoids the common trap of paying for a seat to discover the output quality doesn't match the use case.	Pixel-aligned back-projection keeps surface detail tied to the actual source image pixels, so texture markings and material boundaries land where you drew them rather than where a diffusion prior guessed they should be — which means less manual UV correction after export. Dual-lane comparison between the Pixal3D path and Trellis 2 runs before you commit cleanup time, so you pick the better mesh before spending hours in your DCC tool. Three quality presets with explicit vertex and texture targets — up to 200,000 vertices and 2048 textures on the Detail setting — so you can run a cheap shape check first and reserve credit spend for final-review passes. TencentARC research weights and inference code are available on GitHub, so studios with GPU infrastructure can bypass the hosted credit model entirely and run generation inside their own pipeline. Hunyuan Motion integration generates FBX character animation from text in the same interface, so character teams avoid context-switching between services when they need a posed or animated reference alongside the static mesh.
Cons	The free tier runs on a shared credit pool: iterating on a mechanical assembly across multiple refinement rounds consumes credits fast, and a hardware startup prototyping several variants of a bracket in one session will hit the ceiling before the design is final — the path forward is a paid tier or rationing generations. Exported STEP geometry arrives as a dumb solid inside SolidWorks, Fusion 360, or Creo — the parametric code that generated it stays inside AiCadGen's sandbox and does not export, so any team that needs an editable feature tree in their existing CAD environment rebuilds the part from scratch; at that point AiCadGen is a sketch reference, not a workflow accelerator. The platform is cloud-only with no self-hosted option, which disqualifies it for any team under a data residency policy, a defense contract with export-control requirements, or an enterprise IT policy that prohibits sending proprietary geometry to third-party cloud services — those teams route to self-hosted open-source CAD generation alternatives instead. Standards-aware drawing output targets AS1100, ISO, and ASME, but the vendor page does not describe a drawing validation or tolerance checking step — a mechanical engineer submitting to a contract manufacturer needs to audit every generated drawing before it becomes a purchase order, adding a manual review gate that the tool's speed advantage does not eliminate.	The input checklist is strict — full subject in frame, clear silhouette, low occlusion, simple background, high resolution, neutral lighting. Any photograph that violates more than one of these conditions produces degraded geometry, which means product shots with props, styled lighting, or partial occlusion go through the same manual rebuild the tool was supposed to shortcut. Every generation consumes credits with no visible free tier; teams running iterative prompt-and-inspect workflows across dozens of assets accumulate costs that make per-asset pricing competitive only when generation quality is high enough to reduce cleanup time — at scale, teams with consistent high-volume needs switch to self-hosted inference or a batch-capable competitor with flat-rate pricing. No API is exposed on the hosted service, so any attempt to wire generation into a build pipeline, content management system, or automated asset processor requires setting up the GitHub inference stack and maintaining GPU infrastructure — at which point the hosted service adds no value and teams are running TencentARC's weights directly.

Bottom line

Only AiCadGen exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AiCadGen and Pixal3d.ai?

AiCadGen is Paid, while Pixal3d.ai is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AiCadGen better than Pixal3d.ai?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.