---
title: "Best AI Models: Marketing & ad creative"
description: "I want to generate product ads: weighted model recommendations for marketing & ad creative."
url: "https://img.ly/ai-benchmarks/use-cases/product-ads/"
type: "benchmark-use-case"
useCaseIds: ["U1","U5"]
---

> This is the markdown version of [Best AI Models: Marketing & ad creative](https://img.ly/ai-benchmarks/use-cases/product-ads/). 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: Marketing & ad creative

"I want to generate product ads"

Hero images, campaign backgrounds and ad variants, generated per SKU or per audience inside your platform. What matters: composition that leaves room for copy, brand-color fidelity, and unit cost at campaign volume.

## Recommended models

1. [Nano Banana 2 Lite](https://img.ly/ai-benchmarks/models/nano-banana-2-lite.md): 4.12 / 5 weighted score (100% of the weight matrix covered, $0.020 per image) — best fit
2. [Seedream 5.0 Lite](https://img.ly/ai-benchmarks/models/seedream-5-lite.md): 3.99 / 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): 3.93 / 5 weighted score (100% of the weight matrix covered, $0.048 per image)
4. [FLUX.2](https://img.ly/ai-benchmarks/models/flux-2.md): 3.84 / 5 weighted score (100% of the weight matrix covered, $0.013 per image)
5. [Nano Banana 2](https://img.ly/ai-benchmarks/models/nano-banana-2.md): 3.75 / 5 weighted score (100% of the weight matrix covered, $0.100 per image)
6. [FLUX.2 [dev] Turbo](https://img.ly/ai-benchmarks/models/flux-2-turbo.md): 3.73 / 5 weighted score (100% of the weight matrix covered, $0.015 per image)
7. [GPT Image 1.5](https://img.ly/ai-benchmarks/models/gpt-image-1-5.md): 3.73 / 5 weighted score (100% of the weight matrix covered, $0.120 per image)
8. [Gemini 2.5 Flash Image](https://img.ly/ai-benchmarks/models/gemini-25-flash-image.md): 3.73 / 5 weighted score (100% of the weight matrix covered, $0.039 per image)
9. [FLUX.2 [pro]](https://img.ly/ai-benchmarks/models/flux-2-pro.md): 3.67 / 5 weighted score (100% of the weight matrix covered, $0.040 per image)
10. [Qwen-Image](https://img.ly/ai-benchmarks/models/qwen-image.md): 3.62 / 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): 3.40 / 5 weighted score (100% of the weight matrix covered, $0.060 per image)
12. [Luma Photon](https://img.ly/ai-benchmarks/models/luma-photon.md): 3.39 / 5 weighted score (100% of the weight matrix covered, $0.019 per image)
13. [Nano Banana Pro](https://img.ly/ai-benchmarks/models/nano-banana-pro.md): 3.19 / 5 weighted score (100% of the weight matrix covered, $0.360 per image)
14. [Recraft V3](https://img.ly/ai-benchmarks/models/recraft-v3.md): 3.12 / 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): 2.57 / 5 weighted score (100% of the weight matrix covered, $0.010 per image)

Nano Banana 2 Lite takes the top spot where this job puts its weight: composition at 4.8 / 5 (25% of the matrix), prompt adherence at 4.7 / 5 (15% of the matrix) and cost at 4.0 / 5 (15% of the matrix).

## Weights (pilot-0, provisional)

Ad creative lives or dies on composition: the image has to leave room for the offer, the logo and the CTA, so it leads the matrix. Adherence, brand color and cost share the second tier because campaign variants are generated in volume against a brief; resolution, text and latency matter less for assets that are finished in an editor before trafficking.

- Composition: 25%
- Prompt Adherence: 15%
- Color Accuracy: 15%
- Cost: 15%
- Resolution: 10%
- Text Accuracy: 10%
- Latency: 10%

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

- [Two-Color Illustration](https://img.ly/ai-benchmarks/prompts/b01-two-color.md): Brand-Color Fidelity
- [Banner with Negative Space](https://img.ly/ai-benchmarks/prompts/n01-banner.md): Composition & Negative Space
- [Object Counting & Placement](https://img.ly/ai-benchmarks/prompts/x01-objects.md): Spatial & Compositional Adherence
- [Duotone Portrait](https://img.ly/ai-benchmarks/prompts/b03-duotone.md): Brand-Color Fidelity
- [ColorChecker Chart](https://img.ly/ai-benchmarks/prompts/b04-colorchecker.md): Brand-Color Fidelity
- [Smooth Gradient](https://img.ly/ai-benchmarks/prompts/b05-gradient-banding.md): Brand-Color Fidelity
- [Vertical Story Background](https://img.ly/ai-benchmarks/prompts/n02-story-bg.md): Composition & Negative Space
- [Centered Product Margin](https://img.ly/ai-benchmarks/prompts/n03-margin-product.md): Composition & Negative Space
- [Scene Relations](https://img.ly/ai-benchmarks/prompts/x02-scene-relations.md): Spatial & Compositional Adherence
- [Negation: Clean Background](https://img.ly/ai-benchmarks/prompts/x03-negation.md): Spatial & Compositional Adherence

## The last mile: what no model delivers

Models reserve negative space well, but they miss exact brand hexes and cannot place your logo, legal line or localized copy. Ad production at volume works as a pipeline: generate the background, then compose brand elements and text as deterministic layers on top, so every variant stays on brand without a regeneration lottery.

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.
