Ideogram 4.0
- Elo
- 1,011 Elo · rank 38
- Price
- Freemium
- API
- Yes
- Weights
- No
WHAT IT DOES
Ideogram 4.0 is Ideogram's first open-weight text-to-image model, released 3 June 2026. It is a 9.3 billion parameter flow-matching model trained from scratch, and it generates at any multiple of 16 from 256 to 2,048 pixels on a side, including native 2K. Prompts are structured JSON, with bounding boxes for layout and hex colors for the palette. A hosted magic-prompt step turns plain text into that JSON. The nf4 and fp8 weights are on Hugging Face under the Ideogram 4 Non-Commercial license, with inference code on GitHub. The same model is on ideogram.ai and the Ideogram API.
WHY WE PICKED IT
This is the Ideogram generation you can download. On Artificial Analysis AA-Image-T2I v2.0, read 2 October 2026, the Quality tier is 1,011 Elo at rank 38 and the default tier is 1,005 Elo at rank 40. That sits level with Ideogram 4.5 on text-to-image, and well behind 4.5 on editing. Use 4.0 for design, in-image text, or a weight you can run. Use 4.5 when the edit has to leave the other pixels alone.
QUICK FACTS
STRENGTHS
- ✓9.3B flow-matching model trained from scratch, with JSON layout and color-palette controls, per Ideogram's README
- ✓Native output up to 2,048 pixels on a side
- ✓Quality tier at 1,011 Elo, rank 38, on AA-Image-T2I v2.0 (12,184 votes, 2 October 2026)
- ✓nf4 and fp8 weights published, with inference code on GitHub
LIMITATIONS
- ⚠The weights use the Ideogram 4 Non-Commercial license. Commercial self-hosting needs a separate license from Ideogram, so this listing does not call the model open source
- ⚠Text-to-image is mid-pack: Quality is rank 38 and the default tier is rank 40 on AA-Image-T2I v2.0. GPT Image 2.5 Sunburst (max) leads that board
- ⚠Not the edit model. Ideogram 4.5 is the one with Precise Edit
- ⚠Artificial Analysis prices Quality at $100 per 1,000 images and the default tier at $60 per 1,000, checked 2 October 2026
GETTING STARTED
On ideogram.ai, pick Ideogram 4.0. For a local run, accept the license gate on the Hugging Face nf4 or fp8 repo, then follow the Quick Start in github.com/ideogram-oss/ideogram4. The README's highest-quality preset is 2,048 by 2,048 with sampler preset V4_QUALITY_48. Hosted API access is documented at developer.ideogram.ai. The app has a free plan. Eligible accounts receive weekly credits.
BENCHMARKS
OFFICIAL LINKS
SIMILAR TOOLS
PRICING
Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.
View pricing details →FEATURED IN GUIDES
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EXPLORE ALTERNATIVES
Compare Ideogram 4.0 with 5+ similar text → image AI tools.
FREQUENTLY ASKED QUESTIONS
Is Ideogram 4.0 free?
Ideogram 4.0 offers a free tier with optional paid upgrades.
Does Ideogram 4.0 have an API?
Yes, Ideogram 4.0 offers an API for programmatic integration.
What is Ideogram 4.0 best for?
Ideogram 4.0 is best for Open-Weight Design. Ideogram 4. This is the Ideogram generation you can download. On Artificial Analysis AA-Image-T2I v2.0, read 2 October 2026, the Quality tier is 1,011 Elo at rank 38 and the default tier is 1,005 Elo at rank 40. That sits level with Ideogram 4.5 on text-to-image, and well behind 4.5 on editing. Use 4.0 for design, in-image text, or a weight you can run. Use 4.5 when the edit has to leave the other pixels alone.
What platforms does Ideogram 4.0 support?
Ideogram 4.0 supports web, api.
Is Ideogram 4.0 open source?
No, Ideogram 4.0 is not open source.
How do I get started with Ideogram 4.0?
On ideogram.ai, pick Ideogram 4.0. For a local run, accept the license gate on the Hugging Face nf4 or fp8 repo, then follow the Quick Start in github.com/ideogram-oss/ideogram4. The README's highest-quality preset is 2,048 by 2,048 with sampler preset V4_QUALITY_48. Hosted API access is documented ...
How do I generate images with Ideogram 4.0?
Ideogram 4.0 creates images from text descriptions. Enter detailed prompts describing the image you want, including style, composition, colors, and subject matter. It excels at 9.3b flow-matching model trained from scratch, with json layout and color-palette controls, per ideogram's readme.
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