Lesson 50 of 1570
DALL-E vs. Midjourney vs. Flux
Five image models, five personalities. Here's when each one is the right pick — in 2026, with current strengths, costs, and quirks.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1No 'best' model — a toolbox
- 2model comparison
- 3tool selection
- 4image model tradeoffs
Concept cluster
Terms to connect while reading
Section 1
No 'best' model — a toolbox
In 2026, there's no single winner in image generation. Each model has a personality shaped by its training data and research team. Great creators know which model to reach for. Let's break down the big six.
Compare the options
| Model | Strength | Weakness | Access |
|---|---|---|---|
| Midjourney v7 (+ v8 alpha Mar 2026) | Most aesthetic / artistic by default; incredible mood & lighting. | Discord/web only; not an API for devs; strict moderation. | Subscription, ~$10-60/mo. |
| Flux 1.1 Pro | Photorealism king; 4.5s generation; strong prompt adherence. | Less 'artistic' out of the box; needs style prompting. | API (fal, Replicate, Black Forest Labs). |
| GPT Image 1.5 (successor to DALL-E 3) | Best prompt adherence; ~95% text rendering accuracy. | More expensive; locked to OpenAI ecosystem. | OpenAI API, ChatGPT. |
| Imagen 4 | Best for complex multi-subject scenes; photographic. | Google Cloud / Vertex AI setup. | Vertex AI, Gemini API. |
| Ideogram 2.0 / V3 | Typography and logos; ~90% text accuracy. | Less photorealism than Flux or Imagen. | ideogram.ai, API. |
| Stable Diffusion 3.5 / Flux Schnell (open) | Runs on your GPU; full control; free. | Requires setup; needs hardware or services. | ComfyUI, AUTOMATIC1111, RunPod. |
Matching job to model
- Marketing poster with text on it → Ideogram or GPT Image 1.5.
- Editorial illustration for a blog post → Midjourney v7.
- Realistic product photo for an e-commerce site → Flux 1.1 Pro.
- Complex scene with 4 characters and specific staging → Imagen 4 or GPT Image 1.5.
- Building a product that needs to run on your own servers → Stable Diffusion 3.5 or Flux Dev (open weights).
Prompt styles differ by model
Midjourney likes short, evocative prompts and a trailing --ar 16:9 --style raw. Flux likes longer, detailed natural-language prompts. GPT Image 1.5 understands conversational instructions and edits ('make the dog bigger; add a hat'). Knowing the dialect for each model is half the craft.
Same subject, three dialects.
MIDJOURNEY:
Cozy bookstore cat, warm afternoon light, watercolor illustration --ar 3:2 --style raw --v 7
FLUX 1.1 PRO:
A photorealistic photograph of a fluffy orange cat curled up on a stack of worn leather-bound books inside a sun-drenched independent bookstore. Afternoon golden-hour light streams through a dusty window. Shallow depth of field, 50mm lens, shot on Fuji X-T5.
GPT IMAGE 1.5:
An orange cat sleeping on books in a cozy bookstore. Include a small sign in the background that says 'Read Here' in hand-lettered style. Warm afternoon lighting.Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “DALL-E vs. Midjourney vs. Flux”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Builders · 40 min
Builder Capstone: Ship a Short Creative Piece
Your first end-to-end AI-assisted creative project. Plan it, make it, and reflect on what surprised you. Small scope, real output.
Builders · 25 min
v0.dev — design and ship with one prompt
v0 by Vercel turns a prompt, screenshot, or Figma file into a working Next.js app deployed in one click.
Builders · 30 min
The Craft of Image Prompting
Great image prompters aren't typing harder — they're using a mental framework. Subject, setting, style, composition, lighting, mood. Here's the system.