# 3DCodeBench: Benchmarking Agentic Procedural 3D Modeling via Code (text-to-3D) (3DCodeBench (Text to 3D))

> A benchmark for vision-language model agents that write procedural code for 3D modeling software, turning a text description into an engine-ready 3D object. This page tracks the text-prompt track.

Canonical page: https://benchlm.ai/benchmarks/threedcodebenchtext

- Category: [Coding](/coding)
- Last updated: November 13, 2026

## About 3DCodeBench (Text to 3D)

- Year: 2026
- Tasks: Text prompts to procedural 3D modeling code
- Format: Benchmark score (0-100)
- Difficulty: Code-level geometric reasoning and 3D software APIs
- Paper: [3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code](https://arxiv.org/abs/2606.01057)

3DCodeBench (May 2026) evaluates how well models act as procedural 3D modelers by translating text and image references into modeling-software code, with an execution environment for iterative refinement and a companion 3DCodeArena for pairwise human preferences. The authors find most failures come from API mismatches, with floating or disconnected geometry in successful renders. Meituan reports LongCat-2.5 at 55.4 on the text-to-3D track in its November 2026 model card, next to in-house runs of GPT-5.5 (51.9), GPT-5.6 Sol (52.3), Claude Opus 4.8 (52.7), Claude Opus 5 (54.3), GLM-5.3 (53.4), Kimi K3 (49.3) and DeepSeek V4.1 Flash (53.3). BenchLM stores the LongCat-2.5 row; the other figures are Meituan runs listed for context.

3DCodeBench (Text to 3D) is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (1 models)

The one result on this page was reported by the lab that built the model.

| Rank | Model | Creator | Score | Who ran it |
|------|-------|---------|-------|-----------|
| 1 | [LongCat-2.5](/models/longcat-2-5) | Meituan | 55.4% | Reported by Meituan |

## FAQ

### What does 3DCodeBench (Text to 3D) measure?

A benchmark for vision-language model agents that write procedural code for 3D modeling software, turning a text description into an engine-ready 3D object. This page tracks the text-prompt track.

### Which model scores highest on 3DCodeBench (Text to 3D)?

LongCat-2.5 by Meituan currently leads with a score of 55.4% on 3DCodeBench (Text to 3D).

### How many models are evaluated on 3DCodeBench (Text to 3D)?

1 AI models have published results on 3DCodeBench (Text to 3D) in the BenchLM catalog.

### Does 3DCodeBench (Text to 3D) affect BenchLM's overall score?

Not directly. 3DCodeBench (Text to 3D) is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.