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.
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.