Yang compares code-generated Himeji Castle videos from Opus 5.5, Gemini 4, GPT-6 Astra, and Muse Wonder. He ranks Opus first for its rendering and cinematic shots, Gemini second, Astra third, and Muse fourth.
I Tested Gemini 4 vs Opus 5.5 vs GPT-6 Astra vs Muse Wonder
Peter Yang, a tech creator at Behind the Craft, compares four AI models across creative and knowledge work use cases; no company affiliation is stated.
Yang asks the models to make a Star Fox-style game with StarCraft assets. Opus produces the most polished playable game; Gemini adds features such as first-person view and barrel rolls but feels crowded. Astra is more basic, and Muse’s result is weak.
The models create animated stories using code. Yang praises Opus’s graphics and Gemini’s artistry, while Astra’s robot-and-plant story strikes him as funny. He gives Muse the win for a story about an older man growing a flower for a loved one’s grave, despite its less polished graphics.
Yang asks the models to create a fresh brand and homepage for his Behind the Craft newsletter, channel, and podcast. He chooses Astra for its clean layout, clear email signup, and generated images. Opus is second; Gemini’s page feels overloaded, while Muse’s is too text-heavy.
For newsletter writing, Yang tests Astra, Opus, and Gemini against a post he edited from an interview transcript. An Opus sub-agent’s review ranks Gemini first because its draft sounds most like Yang and includes a personal example; Opus is more insightful, while Astra is accurate. Yang also praises Gemini’s detailed medical research example and concludes that model choice depends on the task.
Takeaways
- Choose models by task: Yang found Opus strongest for visual generation, Astra for homepage design, and Gemini for writing and research.
- For subjective creative work, assess both technical polish and the emotional or artistic effect; Yang’s favorite emotional short was not the most visually polished.
- Give models a concrete benchmark prompt and compare the same output dimensions, such as visual accuracy, features, clarity, and voice.
- Evaluate writing against a real edited example and the intended author’s voice, not just factual accuracy.
- Treat AI medical research as research support: Yang describes using it to explore questions, not as a substitute for treatment decisions.
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What was claimed 11
- launchedMUSE launched
“the launch of Muse Wonder”
YouTube Unverified1 source· Talk
- launched
Gemini launched
“the launch of Muse Wonder”
YouTube Unverified1 source· Talk
- feature
Claude Opus: Produces the strongest 3D castle scene and game in the speaker’s comparison
“Opus is the clear winner”
YouTube Unverified1 source· Talk
- role at
“Alex Wang, Meta's chief AI officer”
YouTube Unverified1 source· Talk
- feature
Gemini: Builds many game features in one shot
“pretty impressed by all the features Gemini built in one shot”
YouTube Unverified1 source· Talk
- featureMUSE: Creates the most emotionally effective short in the speaker’s comparison
“Muse created the most emotional video”
YouTube Unverified1 source· Talk
- uses
“Astra used ChatGPT image generation”
YouTube Unverified1 source· Talk
- feature
Astra: Produces the strongest website design in the speaker’s comparison
“give the award to Astra”
YouTube Unverified1 source· Talk
- feature
Gemini: Produces the strongest newsletter draft among the three models tested
“Gemini came out first over Opus and Astra”
YouTube Unverified1 source· Talk
- feature
Gemini: Provides specific, well-researched answers in the speaker’s medical research example
“I love how specific and well-researched it is”
YouTube Unverified1 source· Talk
- uses
Gemini uses
Nano Banana“Gemini could do that, too, with Nano Banana”
YouTube Unverified1 source· Talk








