GPT-6.1 Terra vs Muse Wonder 1.0

aka OpenAI GPT-6.1 Terra vs Muse Wonder

7 posts12 likes1K views

  • Author picksGPT-6.1 Terra1–0
  • FasterMuse Wonder 1.01/1 postsmedian gap ~5.7×

As stated in each post, not a controlled benchmark.

Posts

7

Same prompt, separate runs

1

Not a controlled comparison: prompts, tools and time differ.

About this matchup

GPT-6.1 Terra vs Muse Wonder 1.0 in real side-by-side tests: 7 posts from X where both got the same prompt; 2 posts report cost or time. Judge coding ability from the actual outputs.

GPT-6.1 Terra vs Muse Wonder 1.0: which is better for coding?

Which is better for coding, GPT-6.1 Terra or Muse Wonder 1.0?

Author picks: where the author preferred one of the two, they picked GPT-6.1 Terra once and Muse Wonder 1.0 never. That covers 1 of the 7 posts here; each post is a different task, so watch the outputs above for the work you care about.

Which is faster, GPT-6.1 Terra or Muse Wonder 1.0?

1 post states a time for both: Muse Wonder 1.0 was faster in it (~5.7× faster). Times are as stated in each post; tools and settings differ between posts.

What have GPT-6.1 Terra and Muse Wonder 1.0 been tested on?

The most-viewed of the 7 posts: pixel Hello Kitty walk cycle, four models (@ann_nnng), photoreal human eye in the browser, four models (@maker_evan), tank ambush scene, four affordable models (@RafaCrackYT). Categories: 3D & Shaders, Games, Simulations, Animations/SVG.

Summary

GPT-6.1 Terra and Muse Wonder 1.0 appear together in 7 posts on X: fake Genie 4 walkable world in one HTML file (@maker_evan), tank ambush scene, four affordable models (@RafaCrackYT), bionic nautilus sim, four models one prompt (@maker_evan), photoreal human eye in the browser, four models (@maker_evan), pixel-art shiba in snowy Tokyo, four models (@maker_evan) and 2 more. All are part of larger lineups with other models. In @RafaCrackYT's tank ambush scene, four affordable models, Muse Wonder 1.0 was faster (29 min vs 2 h 44 min), as reported in the post.

What each post reports

Only numbers stated in each post. “—” means the post doesn’t say.

Quick facts

ModelVendorReleasedInput $/1M tokensOutput $/1M tokensContext (tokens)Official links
GPT-6.1 TerraOpenAI2026-10-26Announcement
Muse Wonder 1.0Meta2026-10-12$4$201,000,000Launch post · Pricing

From the vendors’ official pages, checked 2026-10-26. Standard API list prices; each value links its source and a blank cell could not be verified. The archive’s own numbers above are what each post states.

Who won where

2

Prompts shown in the posts

A holographic Pokémon card fluttering down from the sky until it lands — @Terry_Djony

Models

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