Image · API · Commercial Use · Polycount Control · AI Rigging
Built by DreamTech on their proprietary Direct3D-S2 architecture, Neural4D delivers high-fidelity 3D models with clean topology and PBR textures. Their N4D-2.5 model generates at 2K (2048³) spatial resolution in under 90 seconds — one of the fastest in the industry. Supports text-to-3D and image-to-3D with production-ready, 3D-print-ready output. API available at ~$0.15/generation. A strong newcomer worth watching.
Built by DreamTech on their proprietary Direct3D-S2 architecture, Neural4D delivers high-fidelity 3D models with clean topology and PBR textures. Their N4D-2.5 model generates at 2K (2048³) spatial resolution in under 90 seconds — one of the fastest in the industry. Supports text-to-3D and image-to-3D with production-ready, 3D-print-ready output. API available at ~$0.15/generation. A strong newcomer worth watching.
48% win rate · 616 votes across modes
Community rating · out of 5
Community rating
4 ratings · 0 written reviews
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Rank, ELO and votes are frozen season results. Cost, runtime and sample outputs are version metadata, not season snapshots.
Arena Rank
#19 / 25
Textured ELO
964
Geometry ELO
957
Win Rate
44%
381 wins · 479 losses
Total: 860 votes
Average Generation Cost
$0.26
Typical runtime: 8.0 min
Nearby ranks in Textured
#18 · 969 ELO
In Jun 26, N4D-2.5 ranked #19 (964 ELO), compared with #18 (969 ELO) for Hi3D v2.0.
Hi3D v2.0 holds a 5 point advantage, so N4D-2.5 fans tend to focus on prompts that highlight its strengths.
During this season, N4D-2.5 won 44% of its judged matches in this arena, compared with 44% for Hi3D v2.0.
Hi3D v2.0 often returns meshes quicker (7.0 min) while N4D-2.5 focuses on fidelity.
#20 · 931 ELO
In Jun 26, N4D-2.5 ranked #19 (964 ELO), compared with #20 (931 ELO) for VARCO 3D 1.1.
N4D-2.5 maintains a 33 point lead, which usually translates to steadier community votes.
During this season, N4D-2.5 won 44% of its judged matches in this arena, compared with 45% for VARCO 3D 1.1.
VARCO 3D 1.1 often returns meshes quicker (2.0 min) while N4D-2.5 focuses on fidelity.
#17 · 972 ELO
In Jun 26, N4D-2.5 ranked #19 (964 ELO), compared with #17 (972 ELO) for YVO3D 2.0.
YVO3D 2.0 holds a 8 point advantage, so N4D-2.5 fans tend to focus on prompts that highlight its strengths.
During this season, N4D-2.5 won 44% of its judged matches in this arena, compared with 46% for YVO3D 2.0.
YVO3D 2.0 often returns meshes quicker (6.7 min) while N4D-2.5 focuses on fidelity.
#21 · 931 ELO
In Jun 26, N4D-2.5 ranked #19 (964 ELO), compared with #21 (931 ELO) for Alpha3D 4.
N4D-2.5 maintains a 33 point lead, which usually translates to steadier community votes.
During this season, N4D-2.5 won 44% of its judged matches in this arena, compared with 44% for Alpha3D 4.
Alpha3D 4 often returns meshes quicker (4.0 min) while N4D-2.5 focuses on fidelity.
What was the Top 3D AI rank for N4D-2.5 in Jun 26?
In Jun 26, N4D-2.5 finished at #19 with 964 ELO and 860 community votes.
How much does it cost to generate with N4D-2.5?
N4D-2.5 reports an average generation cost of $0.26 per test with a typical runtime of 8.0 min.
How did N4D-2.5 compare with Hi3D v2.0 in Jun 26?
In Jun 26, N4D-2.5 ranked #19 (964 ELO), compared with #18 (969 ELO) for Hi3D v2.0. Hi3D v2.0 holds a 5 point advantage, so N4D-2.5 fans tend to focus on prompts that highlight its strengths. During this season, N4D-2.5 won 44% of its judged matches in this arena, compared with 44% for Hi3D v2.0. Hi3D v2.0 often returns meshes quicker (7.0 min) while N4D-2.5 focuses on fidelity.
