Video summary
ChatGPT vs GLM 5.2 vs Claude Make GTA 6
Main summary
Key takeaways
Storyline
- The video centers on an AI “competition” where multiple models attempt to generate a playable GTA 6–style open-world game from scratch, based on Miami.
- Each AI outputs a prototype that includes at least a mission segment (e.g., “take down marked hostile”).
- The main focus is less on narrative depth and more on whether the result is playable and visually impressive.
Gameplay / Build Highlights (what the prototypes allowed)
- Open-world / mission gameplay: All attempts aim to create a GTA-like environment with missions.
- Third-person character control: The builds include a character model and basic movement/interaction systems.
- Weather and time changes (from the ChatGPT build):
- Weather switching via a key (e.g., T to change weather, with overcast tested).
- Vehicle interaction:
- Multiple builds attempted basic car enter/exit functionality, though controls often broke or vehicle entry failed.
Strategies / Key Tips Mentioned (prompting & tooling)
- The creator used a “basic prompt” to generate GTA 6 “from complete zero,” requesting realism and optimization for the user’s PC.
- They improved the prompt by iterating with the AI itself:
- After an initial prompt, they asked the model to rewrite/improve the prompt, then re-pasted it back in.
- Game engine emphasis (Godot):
- The AIs were pushed to build using the Godot engine, since GTA-style games are graphics-intensive and Godot was expected to improve rendering/visual quality.
- Model-specific prompt constraints (for Claude):
- Claude was instructed to:
- create a new folder
- avoid referencing other files
- not take inspiration from existing assets/files
- Claude was instructed to:
Results / Comparison Outcomes
ChatGPT (Codex / “5.5 extra high”)
- Pros:
- Better-looking graphics
- Eventually improved control responsiveness after multiple iterations
- Cons:
- Initial releases had seriously bugged controls
- Movement/interaction issues
- Sometimes couldn’t get into cars even when keys were pressed
GLM 5.2
- Pros:
- Eventually got further into a working state (input worked after fixes)
- Cons:
- Often struggled with core gameplay functionality
- Movement/input issues
- Teleporting problems
- Car/driving inconsistencies (e.g., animation plays but vehicle entry doesn’t work properly)
- Overall performance:
- Seen as weaker/more difficult to stabilize than ChatGPT
Claude (Opus 4.8 / “Ultra code”)
- Pros:
- Produced the best overall GTA-like clone in the video
- Notably strong lighting and reflections
- Day/night cycle visuals (day → dusk → night transitions)
- Vehicles “work, kind of,” with generally better interaction than the others
- Cons:
- Limited ability to move forward in testing (as mentioned by the creator)
- Despite that, it still beat the other prototypes in overall quality
End-of-video: Featured gamers/sources
- Gamers: None mentioned.
- Sources / systems featured:
- ChatGPT (Codex 5.5 / “extra high thinking”)
- GLM 5.2 (Chinese model)
- Claude (Opus 4.8 / “Ultra code”)
- Godot engine (used as the target engine in all builds)