Compare AI image generators at a glance
Picking an AI image model means balancing prompt adherence, photorealism, price, resolution, and whether you can call it from an API. This table puts the major text-to-image models side by side — DALL-E 3, Midjourney, the Flux family, Stable Diffusion, Ideogram, and more — so you can choose the right model for art, product shots, marketing assets, or programmatic generation.
How to read the table
- Style strength rates how strong each model is at its signature look — photo realism, illustration, or typography — on a simple 1–5 scale.
- Max resolution is the largest native output before upscaling.
- Aspect ratios notes how flexible the model is with non-square framing.
- $/image is a list-price estimate at a common resolution; open models are free to run but you pay for GPU compute.
- API flags whether you can generate images programmatically, and Policy flags how strict the content filter is.
Filter by API requirement and budget, search by model name, and click a column header to sort.
What actually distinguishes the major models
DALL-E 3 is the strongest available model for following complex, multi-element text prompts — it handles spatial relationships (“a red ball to the left of a blue cube”) and unusual combinations more reliably than most alternatives. Its text rendering is also among the best. The tradeoff is a strict content filter and no native support for fine-tuning.
Midjourney v6 produces the most aesthetically polished output by default, particularly for editorial and artistic styles. It continues to have no official public API, which makes it unsuitable for any workflow that needs programmatic batch generation. You interact with it through Discord or the web app.
Flux Pro / Flux Dev (from Black Forest Labs) hits close to Midjourney’s photorealism while offering an API through fal.ai, Replicate, and the BFL API directly. Flux Dev is an open-weight model that can be self-hosted. The Flux family is currently the best option for teams that need high photorealism and API access.
Stable Diffusion 3.5 is the open-source option — downloadable, self-hostable, and extensible with LoRAs, ControlNet, and custom fine-tunes. Running it on your own hardware means zero per-image cost and no content-filter constraints, at the cost of needing GPU infrastructure and more technical setup.
Ideogram stands out for its exceptionally accurate text rendering in images — legible signs, labels, typography — which most other models still struggle with. It has an API and a generous free tier. Less well-known than the others but the right pick when readable text is part of the image.
Decision guide by use case
| Use case | Recommended starting point |
|---|---|
| Marketing and ad creative (manual workflow) | Midjourney v6 |
| Batch generation via API | Flux Pro or DALL-E 3 |
| Product shots with complex prompts | DALL-E 3 |
| Full self-hosting and fine-tuning | Stable Diffusion 3.5 |
| Images with readable text/typography | Ideogram |
| On-prem privacy requirements | Stable Diffusion 3.5 |
Tips for picking a model
- For marketing and ad creative, Midjourney and Flux Pro give the most polished output, but only Flux has an API for batch generation.
- For apps that need an API and good text rendering, DALL-E 3 and Ideogram are the safest picks.
- For full control, fine-tuning, or on-prem privacy, Stable Diffusion 3.5 is the only fully open option here — you can run LoRAs and ControlNet locally.
- Treat one-point differences in style scores as noise; large gaps and the API/policy columns are what actually constrain your choice.
- Always verify current pricing in the provider’s dashboard before committing — per-image costs in this market change frequently.