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Hi3D’s pricing, architecture, and capability ratings side by side with up to three other AI 3D-generation models. Pick models below — your selection is saved in the URL and is shareable. Hi3D full profile ↗

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Hi3D's pricing, architecture, and capability ratings side by side with up to three other AI 3D-generation models. Add or remove comparison models with the selector below — the selection is saved in the page URL, so a specific comparison is shareable.

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	Hi3D base	Hunyuan3D	Meshy 7	Rodin	Stable Fast 3D	Stable Point Aware 3D (SPAR3D)	TRELLIS	Tripo v3
Price	from $0.020 / credit	from $0.022 / generation	from $0.020 / credit	from $0.40 / generation	$0.010 / credit	$0.010 / credit	from $0.020 / generation	from $0.010 / credit
Creator	Hitem3D	Tencent	Meshy	Hyper3D	Stability AI	Stability AI	Microsoft	Tripo AI
Architecture	feed-forward-3d-reconstruction	diffusion-3d-dit	feed-forward-3d-reconstruction	diffusion-3d	large-reconstruction-model	large-reconstruction-model	structured-latents-rectified-flow	feed-forward-3d-reconstruction
Released	2025-06	2026-06	2026-08	2026-05	2024-08	2025-01	2024-12	2025-09
	Strong	Moderate	Strong	Strong	Weak	Moderate	Moderate	Strong
Fidelity and detail of the generated mesh from a single input — surface accuracy, silhouette correctness, polygon budget, and absence of holes or floating fragments. What each rating means here Strong Top-tier mesh fidelity — clean surfaces, correct silhouettes, and a high polygon ceiling suitable for hero assets with minimal cleanup. Moderate Solid production-grade geometry from a single input; good enough for most pipelines but below the fidelity ceiling of the premium options. Weak Rough or low-detail meshes — usable as a blockout or placeholder but needs significant manual work for a finished asset.
	Moderate	Moderate	Strong	Strong	Moderate	Moderate	Moderate	Strong
How closely the generated asset matches the input — reference-image fidelity for image-to-3D, described subject and style for text-to-3D, and view consistency for multi-view input. What each rating means here Strong Reliably reproduces the input — tight fidelity to a reference image, faithful text-to-3D subjects, and consistent multi-view reconstruction. Moderate Image-to-3D is dependable; text-to-3D or multi-view results drift from intent more often as the request gets more specific. Weak Frequent divergence from the input — expect to iterate on prompts or references to get a usable result.
	Moderate	Moderate	Strong	Strong	Moderate	Moderate	Moderate	Moderate
Quality of the generated surface textures — resolution, PBR material support, seam handling, and how faithfully colour and detail carry over from the input. What each rating means here Strong High-resolution textures with PBR material output and clean seams — surface colour and detail carry over faithfully from the input. Moderate Decent baked textures at standard resolution; PBR support varies by host and fine detail can soften. Weak Low-resolution or flat textures, or no texture pass at all — surfacing is largely left to the user.
	Weak	Weak	Strong	Moderate	Weak	Weak	Weak	Strong
Control over mesh structure — quad vs triangle output, low-poly / game-ready targets, retopology passes, and configurable resolution rather than a single dense triangle soup. What each rating means here Strong Quad output and low-poly / game-ready targets available, plus retopology and configurable resolution — real control over mesh structure. Moderate Some resolution or step configuration, but no true quad or low-poly mode — output is a dense triangle mesh. Weak Fixed dense triangle mesh with no topology options; retopology is entirely a downstream step.
	Weak	Weak	Moderate	Weak	Weak	Weak	Weak	Strong
Built-in skeleton generation, auto-rigging, and animation retargeting in the same API — versus static mesh output that needs a separate rigging pipeline. What each rating means here Strong Built-in auto-rigging and animation retargeting in the same API — a mesh comes out ready to pose or animate. Moderate Rigging available but as a separate operation, with limited skeleton options or manual weighting still needed. Weak Static mesh output only — no built-in rigging or animation.
	Weak	Moderate	Strong	Strong	Weak	Weak	Moderate	Strong
Range of accepted conditioning — text, single image, and multi-view input — and how much fidelity each mode delivers. What each rating means here Strong Accepts text, single image, and multi-view input, with each mode delivering usable fidelity. Moderate Covers the common cases (image, and usually text) but multi-view is missing or host-dependent. Weak Effectively single-mode — one input type is supported well and the others are absent or unreliable.
	Moderate	Variable	Moderate	Moderate	Strong	Strong	Moderate	Strong
Wall-clock time to a finished asset. Slower generation raises cost per asset and rules out interactive or high-volume batch workflows. What each rating means here Strong Seconds to a finished asset — fast enough for interactive iteration and high-volume batch runs. Moderate A minute or two per asset — fine for production batches, slow for tight iteration loops. Weak Several minutes or more per asset, or highly variable — a bottleneck for any interactive workflow. Variable Latency swings widely with host, model version, and quality settings — no single figure describes it.

Capability ratings are an expert synthesis across benchmarks, community evaluations, and provider documentation. “—” means no profile data for that dimension.