In 2026, three AI image models sit clearly at the top of the capability leaderboard: FLUX 2 Pro from Black Forest Labs, GPT Image 1.5 from OpenAI, and Imagen 4 from Google. All three are genuinely excellent — but they have different strengths, and for ad creative those differences matter. Here's how to choose between them.
Quick comparison
| Metric | FLUX 2 Pro | GPT Image 1.5 | Imagen 4 |
|---|---|---|---|
| Photorealism | ★★★★★ | ★★★★☆ | ★★★★☆ |
| Text rendering in image | ★★☆☆☆ | ★★★★★ | ★★★☆☆ |
| Prompt adherence | ★★★★★ | ★★★★★ | ★★★★☆ |
| Material / surface detail | ★★★★★ | ★★★★☆ | ★★★★☆ |
| Batch cost efficiency | ★★★☆☆ | ★★★☆☆ | ★★★★★ |
| API cost (standard) | $0.025/image | $0.02–$0.11 | $0.04/image |
| Volume variant: cheapest tier | $0.025 | $0.02 (low quality) | $0.02 (Fast) |
FLUX 2 Pro: The Photorealism Leader
FLUX 2 Pro is Black Forest Labs' latest flagship model and the current benchmark for photorealistic image generation. Its core strengths are material rendering and prompt adherence — two things that matter enormously for product-focused ad creative.
Where FLUX 2 Pro pulls ahead of the competition is in how it handles physical surfaces: fabric texture, glass reflections, metallic finishes, liquid. If your product has visual detail that needs to read clearly in an image — a watch face, a skincare bottle, a piece of clothing — FLUX 2 Pro reproduces that detail more faithfully than any other model currently available.
Prompt adherence is the other major advantage. When you give FLUX 2 Pro a detailed scene description, it follows it closely. For brand teams that need precise control over composition and product placement, that reliability reduces iteration cycles.
Best for: product shots, lifestyle hero imagery, brand campaign visuals, any creative where photorealism is the primary requirement.
FLUX 2 Pro prompt structure
FLUX 2 Pro rewards detailed physical descriptions. Include surface materials, light source position, and specific visual qualities you want rendered:
"A glass perfume bottle with gold hardware on a white marble surface. Single overhead soft box light, creating a gentle shadow to the right. Reflection of the bottle visible in the surface. Editorial product photography, 4K, sharp focus on label."
"A brushed aluminium water bottle in a hand, outdoors, autumn forest background slightly out of focus. Morning light through the trees. Condensation on the bottle surface. Photorealistic, magazine quality."
GPT Image 1.5: Best for Text and Composite Scenes
GPT Image 1.5 has a specific capability that no other model matches at the same level: text rendering inside images. If your ad creative includes copy baked into the image — a headline, a call to action, a product claim, a badge — GPT Image 1.5 is the correct choice. Other models still struggle with legible, well-kerned text at small sizes. GPT Image 1.5 handles it reliably.
The other standout capability is instruction-following for composite scenes. GPT Image 1.5 is built on an architecture that understands multi-part instructions well. If you need to place a product inside an existing UI mockup, combine multiple visual elements into a single coherent frame, or generate a scene with specific positional relationships between objects, GPT Image 1.5 executes those instructions more accurately than its competitors.
This makes it particularly valuable for performance marketing creative: social ads with overlaid promotional text, app screenshots with product context, mockups showing the product in a lifestyle interface.
Best for: ads with text overlay, promotional creative with copy baked in, UI and app mockups, composite product scenes.
GPT Image 1.5 prompt structure
The key with GPT Image 1.5 is to specify text content explicitly and position it in the prompt. It follows layout instructions unusually well:
"Product hero image for a supplement brand. Clean white background with soft shadow. Product bottle centred. Bold text overlay at top: 'CLINICALLY TESTED'. Small badge in lower right: '30-day guarantee'. Brand colour: deep blue (#1A237E). High quality."
"A mobile app screenshot showing a financial dashboard, placed inside a phone mockup on a marble desk. Text in app: 'Your portfolio is up 12.4%'. Lifestyle photo quality, professional."
Note: GPT Image 1.5 pricing is tiered by quality. The low-quality tier ($0.02/image) is insufficient for ad creative — use the high-quality tier ($0.11/image) for text-critical work where legibility matters.
Imagen 4: Scale Efficiency and Consistent Batches
Imagen 4 is Google's latest image model, and it competes directly with FLUX 2 Pro on photorealism. The image quality is strong — Google-backed training at scale shows in the consistency of output across different subject types.
Where Imagen 4 differentiates is cost efficiency at volume. Imagen 4 Fast, the lighter variant, is priced at $0.02 per image — which changes the economics of AI creative testing substantially. If you need to generate 200 variants for a split-testing campaign, the cost difference between Imagen 4 Fast and a premium model is significant. For teams running high-volume creative cycles, that adds up.
Imagen 4 also maintains strong consistency across batches — the visual style and quality level are predictable from generation to generation, which matters when you're producing a large set of assets that need to feel cohesive.
Best for: high-volume creative testing, batch generation for multi-variant campaigns, cost-efficient production runs where per-image cost is a meaningful constraint.
Imagen 4 prompt structure
Imagen 4 handles straightforward, structured prompts well. You don't need exhaustive detail — it interprets scene descriptions reliably with moderate specificity:
"A skincare serum bottle in a sunlit bathroom, marble counter, morning. Photorealistic, editorial."
"A protein shake in a sports bottle, gym background, natural lighting. Lifestyle product shot."
For volume testing, Imagen 4 Fast with a simple prompt structure allows fast iteration across many product placement variations before committing to a final direction with a premium model.
Pricing and quality tiers
All three models offer resolution or quality tiers that affect both output and cost:
- FLUX 2 Pro: Standard (1K resolution, $0.025) and 2K ($0.035). For most ad creative, 1K is sufficient for digital use. 2K is worth it for print or large-format digital.
- GPT Image 1.5: Low ($0.02), High ($0.11), Very High ($0.17). Low quality produces blurry output not suitable for ad creative. Use High as the baseline for any production work.
- Imagen 4: Standard ($0.04), Fast ($0.02), Ultra ($0.06). Imagen 4 Fast is suitable for testing; Standard and Ultra for production. Ultra adds enhanced detail for complex scenes.
Use Case Matrix for Ad Creative
- Lifestyle product shots: FLUX 2 Pro. The photorealism and material rendering are best-in-class for showing products in aspirational real-world contexts.
- Ads with text overlay or promotional copy: GPT Image 1.5. No other model renders in-image text as cleanly or follows multi-part layout instructions as reliably.
- High-volume creative testing: Imagen 4 / Imagen 4 Fast. The per-image cost makes broad variant generation economically viable.
- Brand hero imagery: FLUX 2 Pro. For flagship brand content where production quality is non-negotiable, FLUX 2 Pro's photorealism and prompt control produce the most reliable results.
- Product-in-UI mockups: GPT Image 1.5. Composite instruction-following makes it the right tool for integrating products into interface or packaging contexts.
What None of Them Do Well
It's worth being honest about a shared limitation: realistic human faces at scale remain a weak point across all three models. For product-centric ad creative, this is often not a blocker — lifestyle imagery can feature people in ways that don't require close facial detail. But if your creative concept depends on a convincing close-up portrait or a recognisable person using your product, AI image generation is not yet reliable enough to replace photography.
The practical implication for DTC brands: use AI image generation where it's strong (environments, products, materials, composite scenes, text integration) and continue using photography or video where realistic faces are the focus of the frame.
Recommended workflow: testing across models without overhead
The practical challenge of working with multiple image models is the integration overhead. Each model has its own API, its own authentication, its own prompt syntax, and its own pricing structure. For a marketing team running creative tests, managing three separate API integrations is not a scalable workflow.
A recommended testing approach: start with Imagen 4 Fast at $0.02/image to identify which product context and visual direction resonates across a broad set of variants. Once you have a winning direction, move to FLUX 2 Pro or GPT Image 1.5 (depending on whether you need photorealism or text integration) to produce the final campaign assets at full quality.
Xarith provides access to FLUX 2 Pro, GPT Image 1.5, Imagen 4, and other frontier models from a single interface with credit-based pricing and no separate API keys. You can generate with FLUX 2 Pro, switch to GPT Image 1.5 for a text-heavy variant, and run a batch test on Imagen 4 Fast — all from the same image creation dashboard without any additional setup.
For brands also producing video creative alongside image assets, see our AI product demo video guide for how to combine static image generation with video generation in a single campaign workflow.