Classic Mammoth Tank

One prompt. Different AI models.

A heavy twin-cannon Mammoth Tank inspired by classic Command & Conquer. Compare tracks, armor, missile pods and detail across independent Blender builds.

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

Comparison columns
Metrics
Editor’s pick
Iterations———1
Generated
Authoring time4m 25s4m 13s5m 43s7m 38s
Staged build time40.9s27.8s51.3s34.9s
Total tokens572,903674,641252,053295,505
Est. API cost$0.2628$0.0153$0.9078$0.1933
Blender file size0.25 MB0.20 MB0.50 MB0.44 MB
Downloads
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Iterations
—
Generated
Authoring time
4m 25s
Staged build time
40.9s
Total tokens
572,903
Est. API cost
$0.2628
Blender file size
0.25 MB

Downloads

Download · Free
Iterations
—
Generated
Authoring time
4m 13s
Staged build time
27.8s
Total tokens
674,641
Est. API cost
$0.0153
Blender file size
0.20 MB

Downloads

Download · Free
Iterations
—
Generated
Authoring time
5m 43s
Staged build time
51.3s
Total tokens
252,053
Est. API cost
$0.9078
Blender file size
0.50 MB

Downloads

Download · Free
Editor’s pick
Iterations
1
Generated
Authoring time
7m 38s
Staged build time
34.9s
Total tokens
295,505
Est. API cost
$0.1933
Blender file size
0.44 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
12,167
3,743
8,424
12,987
3,448
9,539
10,945
9,058
13,515
11,920
GPT-6 Sol
GPT-6 Luna
GPT-6 Astra
GPT-6.1 SolEditor's pick

Original prompt

# Identical model brief

Create a detailed, immediately recognizable classic Mammoth Tank inspired by the original Command & Conquer in Blender 5.1.2. Exterior display model only: very heavy low armored hull, two broad caterpillar track assemblies with visible tread links and wheels, a substantial rotating-looking turret with twin parallel cannon barrels, twin missile pods, hatches, vents, headlights and restrained faction-color accents. Capture the chunky retro real-time-strategy silhouette and weathered military metal, in a polished stylized low-poly diorama on a small terrain display base. Cannons and tank front face negative Y. Keep the whole tank visible and centered. This is decorative fictional game art; no functional weapon design or technical internals. No downloaded assets. Decide the geometry, proportions, details and artistic interpretation 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 English 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]. The subject 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. 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 execution errors 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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