GPT-6.1 Sol vs Muse Wonder 1.0
2 posts14 likes2.4K views
GPT-6.1 Sol vs Muse Wonder 1.0 in real side-by-side tests: 2 posts from X where both got the same prompt, with cost or time from every post. Judge coding ability from the actual outputs.
Posts
2
Same prompt, separate runs
1Not a controlled comparison: prompts, tools and time differ.
Summary
GPT-6.1 Sol and Muse Wonder 1.0 appear together in 2 posts on X: 3D lava lamp, 4 models, max thinking (@melvynx) and battle of Waterloo voxel diorama (@ItsCuthulhu). All are part of larger lineups with other models. In @melvynx's 3D lava lamp, 4 models, max thinking, GPT-6.1 Sol was cheaper ($0.69 vs $1.70) and faster (18 min vs 21 min), as reported in the post. In @ItsCuthulhu's battle of Waterloo voxel diorama, Muse Wonder 1.0 was faster (9.1 min vs 21.8 min), as reported in the post.
What each post reports
| Post | Model | Time | Cost | Tokens | Original |
|---|---|---|---|---|---|
| 3D lava lamp, 4 models, max thinking@melvynx | Muse Wonder 1.0 | 21 min | $1.70 | — | X post |
| 3D lava lamp, 4 models, max thinking@melvynx | GPT-6.1 Sol | 18 min | $0.69 | — | X post |
| Battle of Waterloo voxel diorama@ItsCuthulhu | Muse Wonder 1.0 | 9.1 min | — | — | X post |
| Battle of Waterloo voxel diorama@ItsCuthulhu | GPT-6.1 Sol | 21.8 min | — | — | X post |
Only numbers stated in each post. “—” means the post doesn’t say.
Prompts shown in the posts
build a 3D lava lamp — @melvynx
Build a moving 3D voxel diorama of the Battle of Waterloo with cannons firing and destroying buildings. — @ItsCuthulhu
Models
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