Ideogram 4 is supposedly the best open-weight model for rendering text right now, specifically built for design work like posters, packaging, logos, and signage. I personally hate it when models mess up text, so I pitted it against everyone’s go-to text king, GPT Image 2, using six identical prompts. Same quality tier, no cherry-picking, round-by-round showdown.
The results are kinda interesting: GPT Image 2 won more rounds for “one-shot ready-to-use output” — in the poster round, it straight-up gave a complete piece with stage, crowd, and mountain scenery. Ideogram’s core text was clean, but the layout had a ton of white space and even threw in a garbled word (thanks to its default prompt expansion being on). In the social ad round, GPT even cleanly rendered a full feature list, icons, and an app UI mockup together. For the multilingual signage round, both got Japanese and English right, which validates Ideogram’s core selling point, but GPT handled more text areas in one go.
Where Ideogram wins is openness and cost: it’s open-weight, so you can download, fine-tune, self-host, plus it has bounding boxes, color palettes, and JSON layout control, starting at just 0.03 per tier. If you want zero-infrastructure, best single-shot output, go with GPT. If you need a controllable, self-deployable, scalable design pipeline, pick Ideogram. Most teams will probably end up using both.