Hunyuan3D vs TRELLIS vs TripoSR (2026): Which Open Image-to-3D Model Wins?

Nobody here ships an independent, apples-to-apples benchmark you can just trust, so treat every "best quality" line as a starting point, not proof. What you can compare is how each model builds its shape. TRELLIS reconstructs geometry through its Structured Latent representation and is widely regarded as the detail leader among open models, especially on intricate and stylized subjects, which is why it is the go-to for artistic assets. The honest caveat is Microsoft's own: the project page states TRELLIS "excels at artistic-style" assets but has "limited capability" on photorealistic real-world objects, so its edge narrows on a plain product photo.

Hunyuan3D is right there with it and arguably ahead on real-world objects: its diffusion-transformer shape stage produces meshes described as holeless, the property that makes a mesh usable downstream without a repair pass. TripoSR is the honest weak link on geometry: it reconstructs from a single view in one feed-forward pass, so it is fast and clean but carries less fine detail than a multi-step diffusion model, and it has no way to reason about the parts of the object the photo does not show. For sheer geometric fidelity this is a two-horse race between Hunyuan3D and TRELLIS; we give the edge to TRELLIS for detail while noting Hunyuan3D's holeless meshes are the safer bet on real-world objects.

This is Hunyuan3D's clearest win, and it is a structural one. Hunyuan3D runs a dedicated second stage, Hunyuan3D-Paint, that synthesizes real PBR materials onto the mesh, and since version 2.1 those are genuine albedo, metallic, and roughness maps rather than baked-on vertex color. That is exactly what a game or product-visualization pipeline wants: a mesh that responds correctly to lighting. If textured output is the point of the exercise, Hunyuan3D is the model to beat here.

TRELLIS produces a textured mesh too, but it gets its appearance by baking from the Gaussian output rather than running a native material pipeline, so it is a step behind Hunyuan3D on true PBR materials while still being perfectly usable. TripoSR is the honest weak link: it outputs vertex colors only, with no PBR materials and no separate texture-synthesis stage, and Stability itself now points users toward its faster, game-ready successor SF3D for better surfacing. If you need real materials for free, Hunyuan3D wins this one and it is not close.

If your pipeline needs more than one textured mesh, TRELLIS is the most flexible tool here by a wide margin. Its Structured Latent representation decodes a single result into three different outputs: a textured polygonal mesh (GLB), 3D Gaussians for splatting, or a radiance field, and it ships both image-to-3D and text-to-3D models. Nothing else in this comparison gives you Gaussians, a NeRF, and a mesh from the same generation, and nothing else here takes a text prompt at all.

Hunyuan3D is mesh-focused but still broad: it exports GLB and OBJ, accepts single images or multi-view input through its 2mv variant, and has a texture-only mode that paints materials onto a mesh you already have. Its open weights are image-conditioned, though, so text-to-3D lives on the hosted platform, not in the released model. TripoSR is the narrowest of the three on purpose: a single image in, one mesh out as OBJ or GLB, with an optional baked-texture UV. No text input, no multi-view, no alternative representations. That simplicity is the trade for its speed and small footprint.

Speed is where TripoSR pulls clearly ahead, and it is a structural advantage rather than a tuning trick. TripoSR is a feed-forward reconstruction model: one pass through the network turns a single image into a mesh, and the paper and repo both put that at under 0.5 seconds on an NVIDIA A100. There is no diffusion sampling loop to wait on. That is literally why the name exists, and for a generate, glance, iterate loop it is a different experience from waiting on a multi-step model.

Hunyuan3D and TRELLIS are heavier by design. Both are diffusion or flow-based, multi-step models, and neither publishes a clean per-asset latency, so we will not invent one. What we can say is that a two-stage shape-then-paint pipeline (Hunyuan3D) or a multi-step flow model (TRELLIS) is inherently far from sub-second, which is why Hunyuan3D ships distilled Turbo and Fast variants specifically to cut steps. The honest caveat on TripoSR's number: that sub-second figure is raw model inference on a top-tier GPU, so add background removal and slower hardware and your real end-to-end time grows. But relative to the other two, TripoSR is the fast one, period.

This is where the choice often gets made for you, because it decides what you can actually run. TripoSR needs about 6 GB of VRAM for a single image and falls back to CPU when no CUDA device is present, so it runs on modest, older, or laptop-class cards. That is a genuine advantage: it is the one most people can run on hardware they already own.

The two heavyweights ask for more. TRELLIS states a 16 GB GPU as its minimum and is Linux and CUDA focused, with no official Windows support. Hunyuan3D 2.1 needs about 10 GB for shape generation alone and about 29 GB for the full shape-and-texture pipeline, which puts a complete textured result out of reach on most consumer cards, though the lighter 2mini variant helps if you have less memory. So the practical ranking is clean: TripoSR runs almost anywhere, TRELLIS wants a 16 GB card, and Hunyuan3D wants a big one for its best output. If your GPU is the constraint, this dimension can settle the whole comparison before the others matter.

The best model is the one you can actually get running and keep using, and here Hunyuan3D has the most momentum. It carries the biggest star count of the three, ships several variants (mini, multi-view 2mv, distilled Turbo and Fast), has active community ComfyUI wrappers, and offers an official hosted platform if you do not want to run it locally at all. That breadth is a real advantage when you hit an edge case and need an alternative variant or a community node.

TRELLIS sits in the middle: a strong repo with an official Hugging Face demo Space and both image and text models, but no first-party ComfyUI node and no hosted product, and it is Linux and CUDA focused. TripoSR is the simplest to get running (a single image, about 6 GB of VRAM, a ready Hugging Face Space, and a Gradio app) but it is the oldest and smallest ecosystem here, its ComfyUI support is community-provided rather than official, and Stability now steers users toward SF3D. For the richest tooling and the most active project, Hunyuan3D is the pick; for the shortest path from zero to a mesh, TripoSR is.

All three are free to download, but "open" splits into details that matter the moment you want to ship something commercial. TRELLIS is MIT for the model and the majority of the code, with the one caveat that a couple of its rendering submodules carry other licenses, so a fully clean commercial stack takes a quick dependency check. TripoSR is plain MIT: use it, modify it, sell what you make, no user cap, no regional carve-out, no strings.

Hunyuan3D is the outlier, and it is worth being clear-eyed about. Its weights ship under the Tencent Hunyuan 3D 2.1 Community License, which is not MIT. Two clauses stand out: if your product crosses 1 million monthly active users you must request a separate license that Tencent may or may not grant, and the license territory explicitly excludes the European Union, the United Kingdom, and South Korea. It also forbids using outputs to train non-Hunyuan models. So Hunyuan3D is free to download but not unrestricted, and for an EU or UK builder that regional exclusion can be a hard stop no matter how good the model is. If "open and no strings" is what you need, TripoSR and TRELLIS are the cleaner answers.