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Image model

Ideogram 4.0

Ideogram

Released
June 2026
Data date
August 15, 2026
Parameters
Benchmark configuration
Price
Per image

Ideogram 4.0 uses 9.3B open-weight parameters and structured JSON descriptions for each visual element. Style, position, bounding box, and color palette can therefore be tied directly to posters, layouts, interfaces, and other work where placement matters as much as the object itself.

Ideogram emphasizes the same structured prompt idea in training and in its reference pipeline, with text and layout control at the center. 2K output is documented; weights, inference code, the prompting guide, and sampler presets are public, with API, web, and local access available.

Position
Rank 23 of 30
Index score
45.4 / 100
1.Krea 2 Large75.6 / 100
2.GPT Image 274.2 / 100
5.Luma Uni-1.1 Max63.8 / 100
6.MAI-Image-2.561.8 / 100
8.Reve 2.160.1 / 100
9.Seedream 5.0 Pro57.2 / 100
11.GPT Image 2.5 Flare56.3 / 100
13.FLUX.2 Max55.8 / 100
14.Nano Banana Pro53.8 / 100
15.Nano Banana 2 Lite53.2 / 100
17.Nano Banana 251.1 / 100
18.FLUX.2 Flex49.4 / 100
19.GPT Image 1.548.3 / 100
20.Qwen Image 2.0 Pro47.7 / 100
21.FLUX.2 Pro46 / 100
23.Ideogram 4.045.4 / 100
25.Seedream 4.037.7 / 100
27.Midjourney V8.128.5 / 100
28.FLUX.2 Klein 9B24.4 / 100
29.HiDream-O1-Image19.3 / 100
Methodology and source

This position gives equal weight to 4 fixed Gradually image tests. One archived first output contributes for each model and task.