Updated September 2026. 8-min read. The right AI model for an Instagram ad is not the same one you'd pick for a product catalog. Here's how to choose based on what you're actually making.
For text-heavy ads (promotions, CTAs, pricing overlays): GPT-Image 2 renders the cleanest on-image text. No other model comes close for headlines with specific fonts and tight kerning.
For rapid A/B testing (20 variants per ad set): Nano Banana 2 costs 1 credit per image and generates fast. When you need volume, speed beats perfection.
For design-led brand ads (DTC, lifestyle, editorial): Recraft V4 has built-in style control that keeps a visual identity consistent across a campaign without prompt gymnastics.
For multilingual campaigns (APAC, LATAM, EU markets): Seedream V5 Pro renders text natively in 14 languages. If your ads run in Japanese, Arabic, or Portuguese, this is the model.
For maximum artistic quality (brand anthems, hero images): Midjourney still leads on raw aesthetics, but you pay more and get less control.
Comparison Table
Model
Best For
Text Rendering
Credit Cost
Ad-Specific Strength
GPT-Image 2
Text-heavy promo ads
Excellent
1-2 cr
Headlines, CTAs, pricing text on-image
Ideogram V3
Logos + poster ads
Excellent
2 cr
Typography, poster layouts, brand marks
Recraft V4
Design-led brand ads
Good
1 cr
Style control, brand consistency, SVG export
Seedream V5 Pro
Multilingual campaigns
Very Good
2 cr
14-language native text, dense layouts
Nano Banana 2
High-volume A/B testing
Good
1 cr
Speed, cost efficiency, clean output
Grok Imagine
Expressive lifestyle ads
Fair
1 cr
Fast, strong aesthetics, expressive output
Krea 2
Cinematic brand content
Good
1-2 cr
Style reference, cinematic quality
Midjourney
Artistic hero images
Fair
$10-60/mo
Raw aesthetic quality, community styles
DALL-E 3
Quick ChatGPT drafts
Very Good
$20/mo
Conversational prompting, fast iteration
Adobe Firefly
Enterprise-safe stock
Fair
$23+/mo
Commercial safety, Adobe ecosystem
What Actually Matters for Social Media Ads
Not all AI image capabilities translate to better ad performance. Here's what matters when you're producing ad creatives, not gallery art:
Text rendering. Social media ads almost always need text on the image: a headline, a price, a CTA, a promo code. If the model can't render clean text, you're compositing it manually in Figma afterward, which defeats the purpose. GPT-Image 2, Ideogram V3, and Seedream V5 Pro all handle this natively.
Aspect ratio support. Instagram feed wants 1:1. Stories and Reels want 9:16. Facebook link ads want 1200x628. A model that only outputs square images forces you to crop and lose composition. Most modern models handle multiple ratios, but some (like Krea 2) ignore the aspect ratio parameter and always output square. Check before you commit to a pipeline.
Speed and cost at volume. If you're running 5 ad sets with 5 variants each, that's 25 images per refresh cycle. At 2 credits per image, that's 50 credits. At 1 credit per image, it's 25. The difference adds up fast when you refresh weekly. For high-volume testing, 1-credit models like Nano Banana 2 and Recraft V4 Utility are the pragmatic choice.
Style consistency. A single ad set should look like it came from the same shoot. Models with style reference or style control (Recraft V4, Krea 2) make this easier. Models without it require prompt discipline to maintain consistency.
Commercial safety. Some models have stricter content policies that reject ad-adjacent prompts (product close-ups on skin, lifestyle shots with implied results). GPT-Image 2 is notably more permissive than DALL-E 3 for product advertising contexts.
GPT-Image 2
GPT-Image 2 is OpenAI's flagship image model, available on Avocado AI at 1 credit (low quality) or 2 credits (medium quality). It has the best text rendering of any model currently available, period.
For social media ads, that means you can prompt "a skincare product on a marble countertop with the text '30% OFF TODAY ONLY' in bold sans-serif" and get something usable on the first try. No other model handles specific text placement and font styling this reliably.
Strengths:
Text rendering is unmatched. Headlines, CTAs, pricing, promo codes. GPT-Image 2 renders them cleanly with proper kerning and font weight. This alone makes it the default for any text-heavy ad format.
Photorealism is strong. Product shots, lifestyle scenes, and on-model imagery all look credible. Not quite Midjourney-level artistry, but more than good enough for paid social.
Prompt comprehension is high. Complex multi-element prompts (product + background + text + lighting direction) parse correctly more often than competing models.
Trade-offs:
Low quality sometimes ignores aspect ratio. You may get a square output when you asked for 16:9. Plan to crop with PIL.
Style consistency requires prompt discipline. No built-in style reference feature. You have to describe your visual identity in every prompt.
2 credits at medium quality adds up. For high-volume A/B testing (25+ images per cycle), the cost premium over 1-credit models is noticeable.
Best for: Promo ads with text overlays, product ads with pricing, any ad where clean typography matters.
Pricing: 1 credit at low quality, 2 credits at medium quality on Avocado AI. Also available via OpenAI API.
Ideogram V3
Ideogram V3 is specifically built for typography and design layout. It's the strongest model for poster-style ads, quote graphics, and any format where text IS the design element rather than an overlay on a photo.
Typography is its core competency. Where GPT-Image 2 renders text as part of a scene, Ideogram V3 treats text as a first-class design element. Font pairing, layout, and visual hierarchy are all strong.
Poster and graphic layouts work well. Quote cards, promotional posters, and announcement graphics are right in its wheelhouse.
Good at brand-consistent designs. When you describe a brand style (minimalist, bold, vintage), Ideogram translates that into coherent design language.
Trade-offs:
Photorealism is weaker than GPT-Image 2. Product photography-style prompts produce decent but not outstanding results.
2 credits per image. Same cost as GPT-Image 2 at medium quality, but less versatile across use cases.
Best results require design-aware prompts. Generic prompts produce generic output. You need to specify layout, font style, and visual hierarchy.
Best for: Quote graphics, promotional posters, announcement ads, any format where typography is the primary visual.
Recraft V4
Recraft V4 is a design-focused model with built-in style control. It's the best option when you need a consistent visual identity across a multi-image campaign without rewriting your prompt from scratch every time.
Available on Avocado AI at 1 credit. Pro variant at 4 credits.
Strengths:
Style control is built in. You can lock a visual style and apply it across generations. This is the single biggest advantage for campaign work where 10-15 images need to look like they came from the same brand book.
1 credit per image. The standard variant is cost-competitive with Nano Banana 2 while offering more design sophistication.
SVG output available. The Vector variant (2 credits) produces native SVG files, useful for logos and scalable graphics.
Trade-offs:
Text rendering is adequate, not excellent. Clean short text works, but complex multi-line layouts or specific font requests are less reliable than GPT-Image 2 or Ideogram.
Output dimensions are variable. You might get 1344x768 or 1024x1024. Always check and resize.
Style control has a learning curve. The style reference system is powerful but requires experimentation to dial in.
Best for: Multi-image campaign consistency, DTC brand visuals, design-led social ads, logo and icon work (Vector variant).
Seedream V5 Pro
Seedream V5 Pro is ByteDance's image model, optimized for text rendering in multiple languages and dense layout control. It's the clear choice for campaigns running across multiple language markets.
Native text in 14 languages. Japanese, Arabic, Portuguese, Korean, Thai, and more. If your ads run in markets where Latin-script models struggle, Seedream handles the local script natively.
Dense layout control. Multiple text elements, product placements, and background scenes in one composition without visual clutter.
Strong product photography. Clean product shots with good lighting and realistic materials.
Trade-offs:
2 credits per image. Same cost tier as GPT-Image 2 medium and Ideogram V3.
Style vocabulary leans East Asian. The default aesthetic sometimes reads more K-beauty or C-beauty than Western DTC. Not a problem if that's your market, but worth noting for Western-focused brands.
Less well-known in Western markets. Fewer community prompts and tutorials available compared to Midjourney or DALL-E.
Best for: Multilingual ad campaigns, APAC/LATAM market targeting, ads with non-Latin text, dense promotional layouts.
Nano Banana 2
Nano Banana 2 is the workhorse model for high-volume ad creative production. At 1 credit per image with fast generation times, it's the pragmatic choice when you need 20-50 images per campaign refresh.
Available on Avocado AI at 1 credit. Lite variant also at 1 credit, even faster.
Strengths:
1 credit per image. The lowest cost tier for a production-quality model. At roughly EUR 0.10-0.13 per image on the Starter plan, the economics work for high-volume testing.
Fast generation. When you're iterating on ad variants, speed matters. Nano Banana 2 generates noticeably faster than the 2-credit models.
Clean, reliable output. Not the most artistic, but consistently produces usable product shots and lifestyle imagery.
Trade-offs:
Text rendering is basic. Short labels work, but don't expect clean multi-word headlines or pricing overlays.
Less distinctive aesthetic. The output is clean but generic. You'll need strong prompts to make it stand out in a crowded feed.
No style reference system. Consistency across a campaign requires careful prompt templating.
Best for: High-volume A/B testing, product catalog images, rapid iteration, any use case where volume matters more than individual image perfection.
Grok Imagine
Grok Imagine is xAI's image model, known for expressive output and fast generation. It has a distinctive visual personality that works well for lifestyle and editorial content.
Expressive and distinctive. Grok Imagine has a visual personality that's hard to replicate with other models. The output feels alive rather than clinical.
1 credit per image. Cost-competitive with Nano Banana 2 and Recraft V4 standard.
Fast generation. Good for rapid iteration cycles.
Trade-offs:
Text rendering is weak. Don't rely on Grok Imagine for on-image text. It will mangle most text requests.
Less predictable. The same prompt can produce dramatically different results across generations. Great for creative exploration, less great for systematic A/B testing.
Newer model with less documentation. Fewer prompt engineering resources available compared to Midjourney or GPT-Image.
Best for: Lifestyle and editorial ad imagery, brand content where distinctiveness matters, creative exploration sessions.
Krea 2
Krea 2 is a cinematic image model with style reference support. Available on Avocado AI at 1 credit (Medium) or 2 credits (Large).
Strengths:
Cinematic quality. Krea 2 excels at dramatic lighting, depth of field, and film-like compositions. Strong for brand anthem content and hero images.
Style reference support. Upload a reference image to guide the visual style across generations.
Available in two tiers. Medium (1 credit) for fast iteration, Large (2 credits) for final output.
Trade-offs:
Always outputs square. The aspect ratio parameter is ignored. You'll need to crop for non-square formats.
Text rendering is unreliable. Same weakness as most non-GPT models.
Photorealistic output can look uncanny. The cinematic styling sometimes produces faces and hands that read as AI-generated.
Best for: Cinematic brand content, hero images for campaigns, style-referenced visual consistency.
Midjourney
Midjourney remains the artistic gold standard for AI image generation. Its aesthetic quality is still the benchmark other models are measured against. For social media ads, it produces the most visually striking individual images.
Strengths:
Raw aesthetic quality. Midjourney's output has a visual richness that's hard to match. Lighting, texture, and composition are consistently strong.
Massive community and style library. Thousands of community-created styles and prompt templates available.
Strong at artistic and editorial imagery. Fashion, beauty, lifestyle, and luxury brands get excellent results.
Trade-offs:
No text rendering. Midjourney cannot reliably render any text. If your ad needs on-image text, you're compositing it separately.
Separate platform and pricing. Not available through Avocado AI. You need a Midjourney subscription ($10-60/mo depending on tier) plus Discord-based or web-based workflow.
Aspect ratio support is good but output control is limited. No inpainting, no style locking without reference images.
No generation cap on paid plans means the per-image cost is low only if you use it heavily. Light users pay the same monthly fee.
Best for: Hero images, brand anthem visuals, artistic ad imagery where text will be added in post-production.
DALL-E 3
DALL-E 3 is OpenAI's earlier image model, still widely used through ChatGPT Plus. It's the most accessible option for teams that already use ChatGPT daily.
Strengths:
Conversational prompting. Just describe what you want in natural language. DALL-E 3 interprets detailed descriptions well.
Text rendering is good. Not as clean as GPT-Image 2, but better than most competitors.
Accessible through ChatGPT Plus. No separate tool to learn. Available to anyone with a $20/mo ChatGPT Plus subscription.
Trade-offs:
Content policy is strict. DALL-E 3 rejects prompts that other models handle fine, especially around product-on-skin imagery, before/after claims, and lifestyle advertising contexts.
Less control over output. No style reference, no aspect ratio parameter in the ChatGPT interface, limited negative prompting.
Output quality is a step below GPT-Image 2. Fine for drafts and concepting, but not production-quality for premium brands.
Best for: Quick ad concept drafts, brainstorming visual directions, teams already using ChatGPT Plus.
Adobe Firefly
Adobe Firefly is Adobe's generative AI model, integrated into Photoshop, Illustrator, and Adobe Express. Its primary advantage is commercial safety and ecosystem integration.
Strengths:
Commercial safety is guaranteed. Firefly was trained exclusively on licensed and public-domain content. Enterprise legal teams approve it without hesitation.
Adobe ecosystem integration. Generate inside Photoshop, refine with existing Adobe tools, export in any format. The workflow is seamless for teams already on Creative Cloud.
Style and structure controls. Reference images and structural guides help maintain brand consistency.
Trade-offs:
Aesthetic quality is conservative. Firefly plays it safe. Output is clean but rarely striking. Not the model for scroll-stopping ad creative.
Pricing is ecosystem-locked. Best value comes from a full Creative Cloud subscription ($55+/mo). Standalone Firefly plans start around $23/mo.
Text rendering is weak. On-image text is not a strength.
Best for: Enterprise teams with strict brand safety requirements, existing Adobe Creative Cloud workflows, compliance-sensitive industries.
How to Pick in Under 30 Seconds
Your ad needs text on the image? GPT-Image 2. No debate.
You need 25+ variants for A/B testing? Nano Banana 2. The economics only work at 1 credit per image.
You're running ads in Japanese, Arabic, or Portuguese? Seedream V5 Pro. It handles local scripts natively.
Your brand needs visual consistency across 10+ images? Recraft V4. Built-in style control.
You need the most visually striking single image? Midjourney. But plan to add text in post.
You're in a regulated industry? Adobe Firefly. Commercial safety is built in.
You want fast, expressive lifestyle imagery? Grok Imagine. Distinctive visual personality at 1 credit.
You're on a tight budget and need something reliable? Nano Banana 2 or Recraft V4 standard. Both cost 1 credit.
FAQ
Which AI model produces the best text for social media ads?
GPT-Image 2 produces the cleanest on-image text among all current models. It handles specific font requests, kerning, and multi-line layouts with the highest reliability. Ideogram V3 is a close second, especially for typography-first designs like quote cards and promotional posters. Seedream V5 Pro leads for non-Latin scripts (Japanese, Arabic, Korean).
Can I use AI-generated images in paid Facebook and Instagram ads?
Yes. Meta's advertising policies allow AI-generated imagery as long as the content follows their standard ad policies. The image itself is not restricted; the content (claims, targeting, landing page) is what gets reviewed. Adobe Firefly offers the strongest commercial safety guarantee due to its licensed training data, but all major models produce images that pass Meta's ad review.
How much does it cost to generate ad creatives with AI?
On Avocado AI, plans range from EUR 19.99/mo (100 credits) to EUR 249/mo (2,000 credits). Most image models cost 1-2 credits per image, putting the per-image cost at roughly EUR 0.10-0.25 depending on your plan and model choice. For a 25-image A/B test cycle using 1-credit models, you'd spend about 25 credits (EUR 2.50-6.25 depending on plan).
What image size should social media ad creatives be?
The standard formats: 1080x1080 (1:1) for Instagram and Facebook feed, 1080x1920 (9:16) for Stories and Reels, 1200x628 for Facebook link ads. Most AI models support these ratios, but some (like Krea 2) always output square and require post-cropping. Check your model's aspect ratio support before committing to a pipeline.
Is Midjourney better than GPT-Image 2 for ads?
For raw artistic quality, yes. For ad-specific usability, no. Midjourney produces more visually striking images but cannot render text, requires a separate platform, and has no style locking system. GPT-Image 2 renders text cleanly, costs less per image, and is available through Avocado AI alongside 16 other models. For ads that need on-image text, GPT-Image 2 is the practical choice.
Which model is best for e-commerce product ads?
For product-only shots (white background, catalog style), Nano Banana 2 at 1 credit offers the best cost-to-quality ratio. For lifestyle product shots (product in context), GPT-Image 2 or Krea 2 produce more compelling imagery. For product ads with pricing or promotional text, GPT-Image 2 is the clear winner due to its text rendering.
How do I maintain brand consistency across AI-generated ad images?
Two approaches: (1) Use a model with built-in style control like Recraft V4 or Krea 2, which let you lock a visual style across generations. (2) Build a prompt template with specific descriptors for your brand's visual identity (color palette, lighting style, composition preferences) and reuse it across all generations. The second approach works with any model but requires more discipline.
Can I use these models through a single platform?
Avocado AI provides access to 17 image models including GPT-Image 2, Ideogram V3, Recraft V4, Seedream V5 Pro, Nano Banana 2, Grok Imagine, and Krea 2 through a single Workspace with unified credits. Midjourney, DALL-E 3 (via ChatGPT), and Adobe Firefly require separate subscriptions.
If you want one workspace for generating and testing social media ad creatives across multiple AI models, start with Avocado AI. Every model listed above (except Midjourney, DALL-E 3, and Firefly) is available through a single credit pool at EUR 19.99/mo.
Wanderson Jackson is the founder of Avocado AI, a creative workspace for AI image, video, and audio generation. He writes about practical AI workflows for marketing teams.
