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Ideogram 4.0 is Good. Just Good.

A blind test of 240 images by 10 professional designers found that Ideogram 4.0 won typography in 47.9% of matchups, significantly outperforming Gemini 3.1 at 30% and FLUX.2 Max and Grok Imagine at roughly 15% each. On the key metric of whether designers would ship the image, Ideogram scored 3.55 out of 5, with Gemini at 2.84 and no other model clearing 3. The model, trained exclusively on structured JSON caption datasets, offers superior text rendering and controllability through bounding boxes and color palettes, though it is considered competitive but not dominant in overall image quality.

read3 min publishedJun 6, 2026

A blind test across 240 images and 10 professional designers just dropped. Ideogram 4.0 against Gemini 3.1, Grok Imagine, and FLUX.2 Max. The results are clean.

Ideogram won typography in nearly half of every blind matchup. 47.9 percent. Next closest was Gemini at 30 percent. FLUX.2 and Grok sat around 15 percent each. On the question that actually matters to designers -- would I ship this -- Ideogram scored 3.55 out of 5. Gemini got 2.84. Nobody else cleared 3.

That is a real lead in text rendering. The model was trained exclusively on structured JSON caption datasets, which means it understands composition and layout differently than models trained on alt-text scraped from the web. The JSON prompting is genuinely useful for automated pipelines. You can specify bounding boxes, color palettes, object positions. It is not just better at text. It is more controllable.

I tested it. It works. The text in images is readable. That has been the white whale of AI image generation for two years and Ideogram 4.0 mostly solves it.

But as an overall image model, it is just good. Competitive, not dominant.

On busy, highly detailed scenes with specific counts and attributes, Ideogram scored 3.42. Gemini scored 3.37. That is a statistical tie. FLUX.2 scored 3.01 and Grok 2.82, which are worse, but the gap between the top two is noise. For general image quality, you are splitting hairs between Ideogram and Gemini. For photorealism, FLUX and Reve still lead. For artistic generation, Midjourney is Midjourney.

The prompting behavior is interesting. Lean prompts won across the board. Long, over-specified prompts lost. The model was trained on structured data, so it wants structure, not paragraphs. "A poster for a coffee shop. The text says Morning Blend in serif. Warm tones, natural light." That works. Adding stylistic directives and adjectives and "make it pop" language degrades the output.

Where to actually use this thing:

fal.ai has it at three cents per megapixel in Turbo mode. That is the cheapest API access right now. Quality mode is ten cents. For comparison, a 1K image is roughly one megapixel, so you are paying three to ten cents per generation depending on quality. Krea includes it in their plans starting at five bucks a month. Leonardo announced they are a day zero launch partner but their pricing page still shows Ideogram 3.0, so the actual token cost is unclear. ComfyUI has native support and the model is open weights, which means you can download and run it yourself. That changes the economics if you are doing volume.

If you need text in your images -- posters, ads, packaging mockups, social graphics with readable words -- this is the best option right now. If you need photorealism or artistic generation, it is fine but not the best. If you need 4K output, look at Reve or upscale with Magnific. If you are doing volume on a budget, run it locally through ComfyUI. It is a good regular model. Use it for what it is good at.

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