3D AI Tools Leaderboard
Discover the top-ranked 3D AI generation tools based on real user votes and ELO ratings


Seasons track tool performance monthly. Tools update frequently, so each season gives a fresh comparison starting at ELO 1000.
| Rank | Tool | ELO Rating | Wins | Losses | Win Rate |
|---|---|---|---|---|---|
#1 ![]() Tripo AI v3.1Aug 26Faster and better with significant improvements across the board 0.3$ / 1.5 min UltraHD Texture 1131 Overall ELO 833 Wins 315 Losses 72.6% Win Rate | |||||
#2 ![]() Meshy 7.1NEWMeshy 7.1: 4K geometry for single images, 2K for multi-view, with PBR and 8K textures. No remeshing. 0.53$ / 6.6 min 4K geometry (single image)2K geometry (multi-view)PBR8K textureNo remeshing 1094 Overall ELO 123 Wins 64 Losses 65.8% Win Rate | |||||
#3 ![]() Hi3D v3.0NEWQuality preset with geometry and stylized texture 2.1$ / 9 min QualityStylized Texture8K texture 1079 Overall ELO 741 Wins 428 Losses 63.4% Win Rate | |||||
#4 ![]() Meshy 7Ultra Mode geometry refinement with 8K base color textures 0.52$ / 6.9 min UltraPBR8K textureMulti-View 1078 Overall ELO 887 Wins 535 Losses 62.4% Win Rate | |||||
#5 ![]() Alpha3D 5Image-to-3D with 4K textures, up to 2M polygons 0.73$ / 1.5 min High-Res4K texture 1052 Overall ELO 678 Wins 592 Losses 53.4% Win Rate | |||||
#6 ![]() Hunyuan 3D v3.1Improved detail and cleaner textures 0$ / 8 min 1M polycount8 Image Mutliview 1050 Overall ELO 714 Wins 519 Losses 57.9% Win Rate | |||||
#7 ![]() Lychee Gen 23D printing-focused AI generator from the makers of Lychee Slicer 0.65$ / 6 min 3D PrintingFiguresMiniatures 1047 Overall ELO 649 Wins 496 Losses 56.7% Win Rate | |||||
#8 ![]() Seed3D v2.0SOTA geometry & PBR materials, coarse-to-fine pipeline 0.33$ / 8 min PBRHigh Detail 1046 Overall ELO 1248 Wins 1071 Losses 53.8% Win Rate | |||||
#9 ![]() Rodin Gen 2.5Adaptive effort 4s–80s, up to 10M+ polygons, 3D-Native PBR 0.29$ / 4.5 min 10M+ polycountAdaptive Speed 1046 Overall ELO 744 Wins 533 Losses 58.3% Win Rate | |||||
#10 ![]() Meshy 6Improved geometry and texture quality 0.4$ / 3 min PBR enabled 1030 Overall ELO 559 Wins 587 Losses 48.8% Win Rate | |||||
#11 ![]() Sloyd AI v3Unlimited <200K-poly generations 0.83$ / 2 min High quality2K texture 1027 Overall ELO 602 Wins 516 Losses 53.8% Win Rate | |||||
#12 ![]() Hi3D v2.1Better geometry & textures, much cheaper 0.73$ / 4 min High Fidelity4K texture 1023 Overall ELO 579 Wins 496 Losses 53.9% Win Rate | |||||
#13 ![]() YVO3D 2.5Latest update with High Details, multi-view support, 2M polygon limit 4.5$ / 5 min High DetailMulti-View8K texture 1021 Overall ELO 428 Wins 289 Losses 59.7% Win Rate | |||||
#14 ![]() Hi3D v2.0Unified textures, full-color 3D printing 0.73$ / 7 min High Fidelity3D Print Ready 1003 Overall ELO 583 Wins 537 Losses 52.1% Win Rate | |||||
#15 ![]() N4D-2.5DreamTech's Direct3D-S2 model. 2K resolution, PBR textures, clean topology 0.26$ / 8 min 2K TexturePBRDirect3D-S2 975 Overall ELO 513 Wins 535 Losses 49.0% Win Rate | |||||
#16 ![]() VARCO 3D 2.02.0 release: better geometry, 4K textures 0.4$ / 2.5 min PBR4K Texture 972 Overall ELO 584 Wins 735 Losses 44.3% Win Rate | |||||
#17 ![]() Triverse 3.0Text/Image to 3D with PBR textures, polycount control, 4K textures 0.28$ / 7 min PBR4K Texture 954 Overall ELO 591 Wins 865 Losses 40.6% Win Rate | |||||
#18 ![]() TRELLIS.2Microsoft's 4B model with 1536³ PBR output 0.42$ / 8 min 1536³PBROpen Source 951 Overall ELO 399 Wins 638 Losses 38.5% Win Rate | |||||
#19 ![]() Pixal3DPixel-aligned image-to-3D from TencentARC, with PBR textures and near-reconstruction-level fidelity 0.42$ / 8 min Pixel-AlignedOpen SourceComfyUI 929 Overall ELO 483 Wins 769 Losses 38.6% Win Rate | |||||
#20 ![]() Wonder3DAutodesk's generative AI 3D model 0.23$ / 4 min PBRImage-to-3D 819 Overall ELO 241 Wins 845 Losses 22.2% Win Rate | |||||
#21 ![]() SAM 3DOpen-source 3D reconstruction from Meta 0.02$ / 55 sec 3D reconstructionSegmentationOpensource 771 Overall ELO 218 Wins 1032 Losses 17.4% Win Rate |
How the ELO rating works?
- Every vote is treated like a head-to-head match. We calculate each tool's expected win probability using the classic ELO formula (rating difference / 400).
- Tools with fewer votes use a higher K-factor so they move up or down quickly. Established tools have a low K-factor, so one upset doesn't cause chaos.
- Winners gain points, losers drop the same amount. We increment matchesWon/matchesLost and totalVotes so win-rate stats stay accurate.
- Each category has an independent ELO ranking. A tool can lead in textures and rank differently in geometry or UV layouts.
















