GPT-6.1 Terra vs Muse Spark 1.3
aka OpenAI GPT-6.1 Terra vs Muse Spark
- FasterGPT-6.1 Terra1/1 postsmedian gap ~1.1×
As stated in each post, not a controlled benchmark.
Posts
2Same prompt, separate runs
1Not a controlled comparison: prompts, tools and time differ.
About this matchup
GPT-6.1 Terra vs Muse Spark 1.3 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.
GPT-6.1 Terra vs Muse Spark 1.3: which is better for coding?
Which is better for coding, GPT-6.1 Terra or Muse Spark 1.3?
None of the 2 posts here names one of the two as the better result, so judge the outputs above for the work you care about.
Which is faster, GPT-6.1 Terra or Muse Spark 1.3?
1 post states a time for both: GPT-6.1 Terra was faster in it (~1.1× faster). Times are as stated in each post; tools and settings differ between posts.
What have GPT-6.1 Terra and Muse Spark 1.3 been tested on?
The most-viewed of the 2 posts: Eiffel Tower benchmark, GPT-6.1 Terra debut (@EnvolDev), golden Ballon d’Or trophy, three models (@LatentOperatorX). Categories: 3D & Shaders.
Summary
GPT-6.1 Terra and Muse Spark 1.3 appear together in 2 posts on X: golden Ballon d’Or trophy, three models (@LatentOperatorX) and Eiffel Tower benchmark, GPT-6.1 Terra debut (@EnvolDev). All are part of larger lineups with other models. In @LatentOperatorX's golden Ballon d’Or trophy, three models, GPT-6.1 Terra was faster (5.6 min vs 6.2 min), as reported in the post.
What each post reports
| Post | Model | Time | Cost | Tokens | Post |
|---|---|---|---|---|---|
| Golden Ballon d’Or trophy, three models@LatentOperatorX | GPT-6.1 Terra | 5.6 min | $0.61 | — | X post |
| Golden Ballon d’Or trophy, three models@LatentOperatorX | Muse Spark 1.3 | 6.2 min | — | — | X post |
| Eiffel Tower benchmark, GPT-6.1 Terra debut@EnvolDev | GPT-6.1 Terra | 5.5 min | $0.44 | — | X post |
| Eiffel Tower benchmark, GPT-6.1 Terra debut@EnvolDev | Muse Spark 1.3 | — | — | — | X post |
Only numbers stated in each post. “—” means the post doesn’t say.
Quick facts
| Model | Vendor | Released | Input $/1M tokens | Output $/1M tokens | Context (tokens) | Official links |
|---|---|---|---|---|---|---|
| GPT-6.1 Terra | OpenAI | 2026-10-26 | Announcement | |||
| Muse Spark 1.3 | Meta |
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.


