GPT-6 Luna vs Grok 4.7
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GPT-6 Luna vs Grok 4.7 in real side-by-side tests: 1 post from X where both got the same prompt; 1 post reports cost or time. Judge coding ability from the actual outputs.
Posts
1Same prompt, separate runs
1Not a controlled comparison: prompts, tools and time differ.
Summary
GPT-6 Luna and Grok 4.7 appear together in 1 post on X: cloth simulation, 4 to 4,096 faces (@noclipepe). It is part of larger lineups with other models. In @noclipepe's cloth simulation, 4 to 4,096 faces, GPT-6 Luna was faster (13 min vs 1 h 36 min) and used fewer tokens (47.5K tokens vs 457.8K tokens), as reported in the post.
What each post reports
| Post | Model | Time | Cost | Tokens | Original |
|---|---|---|---|---|---|
| Cloth simulation, 4 to 4,096 faces@noclipepe | GPT-6 Luna | 13 min | — | 47,500 | X post |
| Cloth simulation, 4 to 4,096 faces@noclipepe | Grok 4.7 | 1 h 36 min | — | 457,800 | X post |
Only numbers stated in each post. “—” means the post doesn’t say.
Prompts shown in the posts
build an interactive cloth simulation, from 4 to 4,096 faces — @noclipepe