GPT-6 Luna vs GPT-6 Sol
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GPT-6 Luna vs GPT-6 Sol in real side-by-side tests: 3 posts from X where both got the same prompt; 1 post reports cost or time. Judge coding ability from the actual outputs.
Posts
3
Same prompt, separate runs
1Not a controlled comparison: prompts, tools and time differ.
Summary
GPT-6 Luna and GPT-6 Sol appear together in 3 posts on X: Tokyo Tower 3D model, three GPT-6 models (@seki_anos), lava lamp, 4 models (@bridgebench) and animated coffee pour, 4 GPT models (@Ashishx29). All are part of larger lineups with other models. In @bridgebench's lava lamp, 4 models, GPT-6 Luna was faster (43 s vs 50 s), as reported in the post.
What each post reports
| Post | Model | Time | Cost | Tokens | Original |
|---|---|---|---|---|---|
| Tokyo Tower 3D model, three GPT-6 models@seki_anos | GPT-6 Luna | — | — | — | X post |
| Tokyo Tower 3D model, three GPT-6 models@seki_anos | GPT-6 Sol | — | — | — | X post |
| Lava lamp, 4 models@bridgebench | GPT-6 Sol | 50 s | $0.08 | — | X post |
| Lava lamp, 4 models@bridgebench | GPT-6 Luna | 43 s | — | — | X post |
| Animated coffee pour, 4 GPT models@Ashishx29 | GPT-6 Luna | — | — | — | X post |
| Animated coffee pour, 4 GPT models@Ashishx29 | GPT-6 Sol | — | — | — | X post |
Only numbers stated in each post. “—” means the post doesn’t say.
Prompts shown in the posts
build a lava lamp — @bridgebench
build an animated coffee pour with HTML, CSS, and JavaScript — @Ashishx29