- Iterations
- —
- Generated
- Authoring time
- 278 s
- Staged build time
- 43.422 s
- Total tokens
- 785,118
- Est. API cost
- $0.3595048
- Input
- 771,781
- Cached input (included)
- 731,904
- Output
- 13,337
- Reasoning (included in output)
- 4,282
- Reasoning effort
- high
- Model / version
- gpt-6-sol
- Setup
- Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex
- Pricing checked
- 2026-09-23
- Python execution
- —
- Build stages
- —
- Objects
- —
- Vertices
- —
- Video duration
- 58.6 s
- Blender file size
- 446,499 bytes
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.
| Metrics | Editor’s pick | |||
|---|---|---|---|---|
| Iterations | — | — | — | 1 |
| Generated | ||||
| Authoring time | 278 s | 206 s | 347.651 s | 420.781 s |
| Staged build time | 43.422 s | 23.06 s | 30.054 s | 33.816 s |
| Total tokens | 785,118 | 703,885 | 341,045 | 251,037 |
| Est. API cost | $0.3595048 | $0.01652258 | $1.49153 | $0.2538708 |
| Input | 771,781 | 692,649 | 329,978 | 238,256 |
| Cached input (included) | 731,904 | 648,448 | 262,400 | 184,448 |
| Output | 13,337 | 11,236 | 11,067 | 12,781 |
| Reasoning (included in output) | 4,282 | 2,230 | 1,905 | 2,344 |
| Reasoning effort | high | high | high | high |
| Model / version | gpt-6-sol | gpt-6-luna | gpt-6-astra | gpt-6.1-sol |
| Setup | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex |
| Pricing checked | 2026-09-23 | 2026-09-23 | 2026-09-23 | 2026-10-01 |
| Python execution | — | — | — | 2.643 s |
| Build stages | — | — | — | 28 |
| Objects | — | — | — | 444 |
| Vertices | — | — | — | 17,701 |
| Video duration | 58.6 s | 38.467 s | 45.533 s | 46.867 s |
| Blender file size | 446,499 bytes | 428,191 bytes | 1,022,615 bytes | 416,805 bytes |
| Downloads |
Swipe between 4 models
- Iterations
- —
- Generated
- Authoring time
- 206 s
- Staged build time
- 23.06 s
- Total tokens
- 703,885
- Est. API cost
- $0.01652258
- Input
- 692,649
- Cached input (included)
- 648,448
- Output
- 11,236
- Reasoning (included in output)
- 2,230
- Reasoning effort
- high
- Model / version
- gpt-6-luna
- Setup
- Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex
- Pricing checked
- 2026-09-23
- Python execution
- —
- Build stages
- —
- Objects
- —
- Vertices
- —
- Video duration
- 38.467 s
- Blender file size
- 428,191 bytes
Downloads
- Iterations
- —
- Generated
- Authoring time
- 347.651 s
- Staged build time
- 30.054 s
- Total tokens
- 341,045
- Est. API cost
- $1.49153
- Input
- 329,978
- Cached input (included)
- 262,400
- Output
- 11,067
- Reasoning (included in output)
- 1,905
- Reasoning effort
- high
- Model / version
- gpt-6-astra
- Setup
- Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex
- Pricing checked
- 2026-09-23
- Python execution
- —
- Build stages
- —
- Objects
- —
- Vertices
- —
- Video duration
- 45.533 s
- Blender file size
- 1,022,615 bytes
Downloads
Editor’s pick
- Iterations
- 1
- Generated
- Authoring time
- 420.781 s
- Staged build time
- 33.816 s
- Total tokens
- 251,037
- Est. API cost
- $0.2538708
- Input
- 238,256
- Cached input (included)
- 184,448
- Output
- 12,781
- Reasoning (included in output)
- 2,344
- Reasoning effort
- high
- Model / version
- gpt-6.1-sol
- Setup
- Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex
- Pricing checked
- 2026-10-01
- Python execution
- 2.643 s
- Build stages
- 28
- Objects
- 444
- Vertices
- 17,701
- Video duration
- 46.867 s
- Blender file size
- 416,805 bytes
Downloads
Compare the model runs
Answer and reasoning; reasoning is included in output.
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
| Models | GPT-6 Sol | GPT-6 Luna | GPT-6 Astra | GPT-6.1 Sol |
|---|---|---|---|---|
| Model / version | gpt-6-sol | gpt-6-luna | gpt-6-astra | gpt-6.1-sol |
| Reasoning effort | high | high | high | high |
| Iterations | Not recorded | Not recorded | Not recorded | 1 |
| Pricing checked | 2026-09-23 | 2026-09-23 | 2026-09-23 | 2026-10-01 |
| Setup | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex | Intel Core i9-12900KF · NVIDIA GeForce RTX 4060 Ti (16 GB) · 64 GB RAM · Windows 11 Pro · Blender 5.1.2; Codex |
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.