Frontier Models
ChatGPT-5.5 (Free)
ChatGPT was the only model that insisted on creating raster images even though the prompt explicitly states
generating an SVG output. Eventually I changed the prompt to "Please generate an SVG (not a raster image) of an octopus trying to solve a Rubik's Cube".
The interesting is that it is also the only model that generated a real-time accumulated SVG so I could see the vector
image taking shape as it was drawn.
?!
So many sides...
Claude Sonnet5.5 (Medium)
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Octopus trying to solve a Rubik's Cube A confused purple octopus with furrowed brows and a sweat drop holds a scrambled Rubik's Cube while one arm scratches its head and question marks float nearby.
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Claude Sonnet5 (High)
An octopus struggling to solve a Rubik's cube
A cartoon pink octopus with a worried expression wraps several tentacles around a 3x3 Rubik's cube, one tentacle scratches its head, another flails in the air, and a single sticker has popped loose and floats away.
Claude Sonnet 5 (Medium)
An octopus trying to solve a Rubik's cube
A cartoon octopus with eight tentacles, several holding onto and twisting a colorful Rubik's cube, with a puzzled expression.
Gemini 3.6 Flash
Gemini 3.6 Flash (Extended)
HOW TO SOLVE
THE CUBE
R U R' U'
F R U R'
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Grok-4.5 (Fast)
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Small Models (Consumer hardware)
These models can all be run on the average home computer on both GPU and CPU (although you'll have to be a bit patient if using CPU)
Ornith-1.0-9B-GGUF-UD-Q4_K_XL (Thinking)
Ornith-1.0-9B was released on June 25, 2026, by DeepReinforce, and is post-trained on top of Gemma 4 and Qwen 3.5 foundation backbones
Model GGUF size is 5.6GB
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Octopus solving the Rubik's Cube
Gemma-4-12B-it-qat (Thinking)
An open weights model Released by Google around July 2026. GGUF Size: 6.3GB.
Qwen3.5-9B-UD-Q4_K_XL
Released March 2026 - GGUf size is 5.6GB
Octopus Solving Rubik's Cube
Qwen3.8-27B-GGUFGGUF ยท UD-IQ2_XXS
Quite a lobotomized Qwen3.8, and yet it does a relatively decent job
GLM 4.6 Flash GGUF - Thinking (7.3 GB)
Like the other models that can run on consumer devices with 8GB VRAM, this too manages to draw a simplistic
octopus and various faces of a Rubik's cude, without really managing a cube or a realistic looking octopus, and yet I
still marvel at them being capable of doing this.
An Octopus in Deep Thought
Qwen2.5-Coder-7B-Instruct-128K-Q4_K_M (4.4GB)
GGUF size: Qwen 2.5 Coder is considered one of the earlier most powerful coding models that could run on consumer hardware (Early
means October 2024 - this is the pace we are at).
I don't know if the abstract art supposed to be an octopus solving a Rubik's cube that it generated teaches us
much about the improvement of coding abilities in newer models, but it is astonishing how much models on consumer machines
have improved since its release.