Ideogram 3.0
Ideogram's flagship text-to-image model with industry-leading text rendering and prompt adherence.
Ideogram 3.0 is image generation AI model from Ideogram, priced at €0.000 per 1M input tokens with a unknown context window.
Examples
See what Ideogram 3.0 can generate
Sample output
Logo Design
Prompt: "A modern minimalist logo for a coffee shop called 'BREW LAB' with the text perfectly rendered, featuring a coffee flask icon, clean sans-serif typography, black and copper color scheme on white background"
Sample output
Event Poster
Prompt: "A vibrant music festival poster with the text 'SOUNDWAVE 2026' in bold retro typography at the top, psychedelic color gradients, illustrated speakers and musical notes, event details at the bottom reading 'June 15-17 | Austin, TX'"
Sample output
Book Cover
Prompt: "A dystopian sci-fi book cover with the title 'THE LAST SIGNAL' in distressed metallic text, a crumbling radio tower silhouetted against a blood-red sky, author name 'A.R. CHEN' at the bottom in clean white type"
Pricing
API Integration
Use our OpenAI-compatible API to integrate Ideogram 3.0 into your application.
npm install railwailimport railwail from "railwail";
const rw = railwail("YOUR_API_KEY");
const images = await rw.run("ideogram-3", "A beautiful sunset over Tokyo");
console.log(images[0].url);
// Or use the image() method for full control
const res = await rw.image("ideogram-3", "A cat in space", {
size: "1024x1024",
n: 1,
});
console.log(res.data[0].url);Deep dive — Ideogram AI's Ideogram 3.0
Ideogram AI was founded in 2022 in Toronto by Mohammad Norouzi (CEO) and co-founders William Chan, Chitwan Saharia, Jonathan Ho and David J. Fleet — the principal authors of Google's Imagen line who left Google Brain / Google DeepMind to commercialise text-to-image research. The company raised an $80M Series A from Andreessen Horowitz and Index Ventures in August 2023 and a follow-on round of approximately $90M in 2024. Ideogram 3.0, announced in March 2025, is the company's flagship model focused on photorealism, precise typography and creative control.
Visit Ideogram AI →Ideogram 3.0 is the third-generation text-to-image model from Ideogram AI, released in March 2025. Architecturally Ideogram has moved from a U-Net based diffusion pipeline (Imagen-style cascade in 1.0) toward a Diffusion Transformer (DiT) backbone trained with the flow-matching / rectified-flow objective popularised by SD3 (Esser et al. 2024) and FLUX.1. Ideogram retains a large T5-style language model for text conditioning, which is widely credited with the model's industry-leading in-image typography. The 3.0 release introduces 'Style References' (upload up to 3 reference images to control aesthetic), an updated 'Magic Prompt' rewriter, and tighter palette/colour controls. Ideogram reports human-preference scores beating Flux 1.1 [pro], DALL-E 3 and Google Imagen 3 on text-rendering and design tasks. The model supports resolutions up to ~2 MP and aspect ratios from 1:1 to 16:9 and 9:16.
- Parameters
- Undisclosed
- Context
- 512 tokens
- Industry-leading in-image text rendering (long phrases, multiple fonts)
- Photorealism competitive with FLUX 1.1 [pro] and Imagen 3
- Style References: upload up to 3 reference images for aesthetic control
- Magic Prompt LLM-based rewriter
- Aspect ratios 1:1, 16:9, 9:16, 4:3, 3:2 and more
- Colour palette control via hex codes
- Available via web app and API
- Best for: brand design, advertising, posters, packaging, anything where text accuracy matters.
Trained on a large licensed and publicly available image-text dataset with significant typography augmentation. Exact composition is not disclosed.
License: Proprietary commercial license via the Ideogram web app and API.
Known limitations
- No public weights or fine-tuning
- Limited structural control compared to ControlNet pipelines
- Pricing higher than Flux schnell tier
- Style consistency across batches still imperfect
Frequently asked questions
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