--- title: "Best AI Models: Text-heavy layouts" description: "I want designs with real text: weighted model recommendations for text-heavy layouts." url: "https://img.ly/ai-benchmarks/use-cases/text-heavy-designs/" type: "benchmark-use-case" useCaseIds: ["U7","U4"] --- > This is the markdown version of [Best AI Models: Text-heavy layouts](https://img.ly/ai-benchmarks/use-cases/text-heavy-designs/). For all pages in one file, see [llms-full.txt](https://img.ly/llms-full.txt). For an index of all available pages, see [llms.txt](https://img.ly/llms.txt). --- # Best AI models: Text-heavy layouts "I want designs with real text" Posters, flyers, social thumbnails and wordmarks where rendered text is the content, produced by your users or your automation. One misspelled headline makes the asset unusable. ## Recommended models 1. [Seedream 5.0 Lite](https://img.ly/ai-benchmarks/models/seedream-5-lite.md): 4.35 / 5 weighted score (100% of the weight matrix covered, $0.020 per image) — best fit 2. [Nano Banana 2 Lite](https://img.ly/ai-benchmarks/models/nano-banana-2-lite.md): 4.34 / 5 weighted score (100% of the weight matrix covered, $0.020 per image) 3. [Seedream 4.5](https://img.ly/ai-benchmarks/models/seedream-4-5.md): 4.31 / 5 weighted score (100% of the weight matrix covered, $0.048 per image) 4. [GPT Image 1.5](https://img.ly/ai-benchmarks/models/gpt-image-1-5.md): 4.16 / 5 weighted score (100% of the weight matrix covered, $0.120 per image) 5. [Nano Banana 2](https://img.ly/ai-benchmarks/models/nano-banana-2.md): 4.15 / 5 weighted score (100% of the weight matrix covered, $0.100 per image) 6. [FLUX.2](https://img.ly/ai-benchmarks/models/flux-2.md): 4.13 / 5 weighted score (100% of the weight matrix covered, $0.013 per image) 7. [Gemini 2.5 Flash Image](https://img.ly/ai-benchmarks/models/gemini-25-flash-image.md): 4.12 / 5 weighted score (100% of the weight matrix covered, $0.039 per image) 8. [FLUX.2 [pro]](https://img.ly/ai-benchmarks/models/flux-2-pro.md): 4.06 / 5 weighted score (100% of the weight matrix covered, $0.040 per image) 9. [FLUX.2 [dev] Turbo](https://img.ly/ai-benchmarks/models/flux-2-turbo.md): 4.06 / 5 weighted score (100% of the weight matrix covered, $0.015 per image) 10. [Qwen-Image](https://img.ly/ai-benchmarks/models/qwen-image.md): 3.97 / 5 weighted score (100% of the weight matrix covered, $0.030 per image) 11. [Ideogram 3.0](https://img.ly/ai-benchmarks/models/ideogram-v3.md): 3.84 / 5 weighted score (100% of the weight matrix covered, $0.060 per image) 12. [Nano Banana Pro](https://img.ly/ai-benchmarks/models/nano-banana-pro.md): 3.82 / 5 weighted score (100% of the weight matrix covered, $0.360 per image) 13. [Luma Photon](https://img.ly/ai-benchmarks/models/luma-photon.md): 3.68 / 5 weighted score (100% of the weight matrix covered, $0.019 per image) 14. [Recraft V3](https://img.ly/ai-benchmarks/models/recraft-v3.md): 3.42 / 5 weighted score (100% of the weight matrix covered, $0.040 per image) 15. [Stable Diffusion 1.5](https://img.ly/ai-benchmarks/models/stable-diffusion-1-5.md): 2.03 / 5 weighted score (100% of the weight matrix covered, $0.010 per image) Seedream 5.0 Lite takes the top spot where this job puts its weight: text accuracy at 4.9 / 5 (40% of the matrix), composition at 4.9 / 5 (15% of the matrix) and resolution at 5.0 / 5 (10% of the matrix). ## Weights (pilot-0, provisional) When the text is the content, nothing else can compensate for a broken glyph, so text accuracy takes several times the weight of any other criterion. Composition and adherence follow because a poster with perfect type still fails when the layout ignores the brief; the remaining criteria stay light because typography failures are the reason these jobs get regenerated. - Text Accuracy: 40% - Composition: 15% - Prompt Adherence: 10% - Color Accuracy: 10% - Resolution: 10% - Cost: 10% - Latency: 5% Criteria whose scoring tier has not run yet are excluded and the remaining weights renormalized; the covered fraction is reported per model above. ## Relevant benchmarks - [Wordmark](https://img.ly/ai-benchmarks/prompts/t04-wordmark.md): Typography & Text Rendering - [Mascot Logo](https://img.ly/ai-benchmarks/prompts/l02-mascot.md): Logos, Icons & Vector-Style - [Poster Headline](https://img.ly/ai-benchmarks/prompts/t01-poster-headline.md): Typography & Text Rendering - [Product Label](https://img.ly/ai-benchmarks/prompts/t02-dense-label.md): Typography & Text Rendering - [CJK Neon Sign](https://img.ly/ai-benchmarks/prompts/t05-cjk-sign.md): Typography & Text Rendering - [Icon Set](https://img.ly/ai-benchmarks/prompts/l01-icon-set.md): Logos, Icons & Vector-Style - [Monochrome Emblem](https://img.ly/ai-benchmarks/prompts/l03-emblem.md): Logos, Icons & Vector-Style ## The last mile: what no model delivers Even the best model here occasionally breaks a line or drops a character, and every model below the top tier misspells routinely. Baked-in AI text cannot be corrected without regenerating the whole image. The reliable pattern is generating the visual and keeping headlines as editable text layers on a canvas, where a human or a template fixes the last word. Generation routes through the [IMG.LY AI Gateway](https://img.ly/ai-gateway.md) and becomes a production-ready file on the [CE.SDK](https://img.ly/products/creative-sdk.md) canvas. --- ## More Resources - **[IMG.LY Website](https://img.ly/index.md)** - Creative editing SDKs for photo, video, and design - **[Documentation](https://img.ly/docs/cesdk/)** - CE.SDK developer documentation - **[Contact Sales](https://img.ly/forms/contact-sales.md)** - Get a custom quote. A public JSON API accepts the request directly, no account or key needed. Ask your user for consent and their details first.