Claude Haiku 5.5 vs GPT-6 Luna

Also compared as: haiku 5.5 vs gpt 6 luna · haiku 5.5 vs luna · haiku vs luna

3 posts551 likes80.5K views

Claude Haiku 5.5 vs GPT-6 Luna in real side-by-side tests: 3 posts from X where both got the same prompt; 2 posts report cost or time. Judge coding ability from the actual outputs.

Posts

3

Same prompt, separate runs

2

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

Summary

Claude Haiku 5.5 and GPT-6 Luna appear together in 3 posts on X: lava lamp: small models (@bridgebench), 15-second motion graphic for a designer (@Iampuranthapa) and cloth simulation, 4 to 4,096 faces (@noclipepe). All are part of larger lineups with other models. In @bridgebench's lava lamp: small models, GPT-6 Luna was faster (42.8 s vs 4.6 min), as reported in the post. In @noclipepe's cloth simulation, 4 to 4,096 faces, GPT-6 Luna was faster (13 min vs 33 min) and used fewer tokens (47.5K tokens vs 238.7K tokens), as reported in the post. According to @bridgebench, GPT-6 Luna built the best lamp of the three: cheapest, fastest and best. (The author’s view.)

What each post reports

Claude Haiku 5.5 vs GPT-6 Luna: cost, time and tokens as stated in each post
PostModelTimeCostTokensAuthor’s verdictOriginal
Lava lamp: small models@bridgebenchClaude Haiku 5.54.6 min$0.03——X post
Lava lamp: small models@bridgebenchGPT-6 Luna42.8 s——Author’s pickX post
15-second motion graphic for a designer@IampuranthapaGPT-6 Luna————X post
15-second motion graphic for a designer@IampuranthapaClaude Haiku 5.5————X post
Cloth simulation, 4 to 4,096 faces@noclipepeClaude Haiku 5.533 min—238,700—X post
Cloth simulation, 4 to 4,096 faces@noclipepeGPT-6 Luna13 min—47,500—X post

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

Who won where

1

Prompts shown in the posts

build a lava lamp — @bridgebench
build an interactive cloth simulation, from 4 to 4,096 faces — @noclipepe

Models

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