Milkyway Andromeda collision by Opus, Fable and GPT-6 Astra. One model won and it is gorgeous.
A user prompted Fable 5.1, Opus 5, and GPT-6 Astra to simulate the Milky Way-Andromeda collision. Each model used approximately $5 in tokens. The user found Opus 5's simulation to be superior to Fable 5.1's, while GPT-6 Astra produced the weakest result. The simulations are available for review on GitHub.
Why this oneThis direct comparison of Fable 5.1, Opus 5, and GPT-6 Astra on a specific simulation task highlights Opus 5's superior performance, unlike the weaker output from GPT-6 Astra.
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PublishedOffset at this time: UTC+0Sep 12, 2026, 09:32 UTC
IngestedOffset at this time: UTC+0Sep 12, 2026, 11:01 UTC
- Published
- Sep 12, 2026, 09:32
- Ingested
- Sep 12, 2026, 11:01
- Source type
- Dev community
- Tier
- Community
- Source status
- Healthy
Tier is a per-source editorial setting, not a per-item score.
I told Fable 5.1, Opus 5 and GPT-6 Astra to simulate the collision of Milkyway and Andromeda via this concise prompt: "Create a simulation of the milkyway andromeda collision."
They all burnt approximately similar $ in tokens, around 5$ each. What surprises me, Opus 5 performed in my opinion better than Fable 5.1. GPT-6 Astra delivered by far the weakest outcome.
While Opus and Fable where mainly focusing on the simulation of the particles by creating a single javascript file, was GPT-6 Astra going in the direction of setting up a react project with all the boilerplate.
The physics simulation of GPT-6 Astra is very static, while both Opus and Fable created a very dynamic and accurate simulation. I cannot say that Opus or Fable did a more realistic looking particle simulation of the moving galaxy stars, but to me Opus simulation just looks better.