Hagrid’s Hut

One prompt. Different AI models.

A cozy forest hut inspired by Hagrid, generated in Blender with different AI models. Compare the results, explore the process and download the original Blender files.

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Compare the model runs

Same prompt. Different approaches. Inspect the results and the work behind them.

Comparison columns
Metrics
Editor’s pick
Iterations———1
Generated
Authoring time4m 38s3m 26s5m 48s7m 1s
Staged build time43.4s23.1s30.1s33.8s
Total tokens785,118703,885341,045251,037
Est. API cost$0.3595$0.0165$1.4915$0.2539
Blender file size0.43 MB0.41 MB0.98 MB0.40 MB
Downloads
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Swipe between 4 models

Iterations
—
Generated
Authoring time
4m 38s
Staged build time
43.4s
Total tokens
785,118
Est. API cost
$0.3595
Blender file size
0.43 MB

Downloads

Download · Free
Iterations
—
Generated
Authoring time
3m 26s
Staged build time
23.1s
Total tokens
703,885
Est. API cost
$0.0165
Blender file size
0.41 MB

Downloads

Download · Free
Iterations
—
Generated
Authoring time
5m 48s
Staged build time
30.1s
Total tokens
341,045
Est. API cost
$1.4915
Blender file size
0.98 MB

Downloads

Download · Free
Editor’s pick
Iterations
1
Generated
Authoring time
7m 1s
Staged build time
33.8s
Total tokens
251,037
Est. API cost
$0.2539
Blender file size
0.40 MB

Downloads

Compare the model runs

Answer and reasoning; reasoning is included in output.

One independent run per model
Tokens are text units. This counts the model’s answer and internal reasoning. More output does not automatically mean a better 3D model.
Estimated cost of this model run in USD at Standard API rates, including cached-input discounts. Local computing and shared coordination are excluded.
Measured agent time spent writing the Blender scene generator. Shows how long authoring took; the visible Blender build is measured separately.
Time for the visible Blender build, including pauses between stages. Shows the staged construction duration; Python execution and full video duration are measured separately.
Show in chart:
AnswerReasoning
16k12k8k4k0
13,337
4,282
9,055
11,236
2,230
9,006
11,067
9,162
12,781
2,344
10,437
GPT-6 Sol
GPT-6 Luna
GPT-6 Astra
GPT-6.1 SolEditor's pick

Original prompt

# Identical model brief

Create a small detailed, recognizable interpretation of Hagrid's hut from Harry Potter in Blender 5.1.2. Exterior only: squat rustic stone hut, steep weathered roof, chimney, oversized wooden door, windows, pumpkins, a little ground and path. Attractive coherent proportions and readable materials. No downloaded assets. You decide the geometry and artistic details independently.

Deliver `scene.py` in your assigned model directory. It must expose `def build():`, a Python generator using bpy that creates the scene from an empty scene and yields a short stage description after each meaningful increment. Aim for 18–35 increments so an actual Blender window recording shows construction. No sleep, no rendering, no saving, no quitting Blender; the shared harness handles those. Module import must not create geometry. Use only bpy/mathutils/Python standard library. All scene geometry should fit approximately inside x/y [-9,9], z [0,11]. Front door faces negative Y. Assign material diffuse_color as well as node colors for visible material colors in solid viewport. Include a camera looking from (14,-19,13) toward (0,0,3) and suitable lights. Keep total objects below 2500 and avoid expensive modifiers. Use Blender 5.1 API (e.g. no removed material.use_screen_refraction). Generator execution happens in Blender UI via timer, so do not rely on area context for geometry. Do not modify UI or viewport; harness does that.

Own only your assigned model directory. Other workers may be present; do not revert or inspect their work or any other model's result. Do not use other AI models. Do not launch Blender, take over windows, install anything, or run an independent creative build. You may check Python syntax. Parent harness runs your actual Blender build and will report errors to you for repair. Write a concise design.txt identifying your intended result. End after these files are ready.

Same reasoning setting for all models: high. Each is a separate fresh agent. Timing separates model-authoring turnaround, actual Blender generator execution, visible staged build wall time, and common setup/QA. A single run is an exploratory comparison, not a statistically reliable benchmark.

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