Midjourney v8.1
vs DALL-E (GPT-Image-1)
Both models are excellent; they fail in different ways. Midjourney wins on style and editorial quality. DALL-E wins on prompt adherence and text rendering. Below: a 6-dimension framework comparison plus six common use cases with a winner per case.
6-dimension comparison
Photorealism
MJ: v8.1 produces hyperreal output with skin texture and light realism, now with native 2K HD output, that DALL-E still can't quite match.
DALL-E: Strong but slightly softer; renders well for product shots and clean studio looks.
Stylisation
MJ: Native style memory + reference images. Best in class for editorial illustration, concept art, painterly looks.
DALL-E: Capable but less consistent across a series. Style drift more common.
Prompt adherence
MJ: v8.1 added an internal prompt-adherence metric and holds multi-clause prompts far better than v6, though still a touch more interpretive than DALL-E.
DALL-E: Highest among consumer models. Follows complex multi-clause prompts reliably.
Text rendering
MJ: v8.1 is a major leap over v6; short words and simple signage render correctly in most attempts, best when wrapped in quotes. Still verify longer strings.
DALL-E: Renders most short-to-medium English text correctly. Best consumer model for image text.
Edit workflow
MJ: Vary / Pan / Zoom Out / Region select. Strong iteration loop in Discord and Web.
DALL-E: Native editing within ChatGPT. Conversational edits work well for incremental adjustments.
Monthly cost (typical)
MJ: $10 basic / $30 standard / $60 pro. Unlimited slow gens on $30+.
DALL-E: Included in ChatGPT Plus ($20). Image gen rate-limited but available.
Pick by use case
tl;dr
Subscribe to ChatGPT for DALL-E ($20/mo), add Midjourney standard ($30/mo) when style work outweighs precision work.
They're different tools. Most professionals running both produce significantly better output than running either alone, DALL-E for the layout, type, and prompt-following stage; Midjourney for the polish, mood, and style consistency stage.