AI Image Generator — every model, compared

Google's Gemini 2.5 Flash-powered text-to-image generator. Supports reference images for subject consistency and produces clean, well-composed shots with the prompt-following accuracy you'd expect from a Gemini-grounded model. A solid pick for fast iteration when you don't need 4K output or the multi-reference workflow that Nano Banana 2 introduces.

Google DeepMind's Gemini 3-powered flagship for text-to-image. Renders up to 4K with industry-leading prompt adherence, native multi-image references, and web search grounding for factual scenes. Ideal for product photography with brand consistency, character series across multi-shot campaigns, and complex compositional work that benefits from compositing several references at once.

The premium tier of Google's Nano Banana lineup. Tuned for magazine-cover fidelity at 4K, with the strongest identity preservation in the family across faces, products, and brand elements. Best when the cost per image is justified by the output going into print, paid ads, or hero placements where every detail matters.

Google's previous-generation Imagen text-to-image model. Strong on natural lighting and skin tones with a documentary photographic feel, but supplanted by Imagen 4 and Imagen 4 Ultra on prompt adherence and text rendering. Reasonable choice when you want the older Imagen aesthetic specifically — otherwise step up to Imagen 4.

Google's mid-tier flagship in the Imagen series. Delivers stronger prompt adherence and improved text rendering over Imagen 3, with the photorealistic skin tones and natural lighting Imagen is known for. Sits below Imagen 4 Ultra on overall quality and above Imagen 3 on instruction-following — a pragmatic default for product, ecommerce, and editorial photography.

Google's premium Imagen tier, built for magazine-cover-quality photorealism. Hand-tuned for fine-grained detail in faces, fabrics, and natural materials with faithful prompt adherence and improved typography. Sits at the top of the Google image lineup alongside Nano Banana Pro — pick this when you want documentary-style realism over Gemini's broader compositional flexibility.

ByteDance's earlier Seedream image model with native 2K output and a recognizable cinematic look. Useful when you specifically want the early-Seedream aesthetic — fashion editorial, Asian-cinema mood, vibrant stylization. For most production use cases Seedream 4, 4.5, or 5 Lite outperform it on detail and prompt adherence.

ByteDance's evolution of Seedream — refined character work, fashion-grade outputs, and the cinematic stylization the line is known for, now with reference-image support. Strong choice for editorial campaigns, music-video stills, and stylized portraiture where mood and color palette matter more than literal photographic realism.

ByteDance's flagship cinematic image model. Top-tier in the Seedream lineup for color, mood, and editorial stylization, with stronger spatial understanding than 4.0 — convincing depth, perspective, and prop placement. Pair with Seedream 5 Lite for high-volume iteration once you've nailed the look.

A faster, lower-cost variant of the Seedream 4.5 aesthetic — same cinematic palette and mood handling at reduced fidelity. Built-in reasoning and example-based editing differentiate it from other budget tiers: pass an example image of the desired result and the model interprets the intent. Good for high-volume social content, moodboards, and exploration before committing to a hero shot.

OpenAI's first standalone text-to-image model. Best-in-class typography rendering at the time of release — making it well-suited to posters, packaging mockups, and text-heavy designs — though GPT Image 1.5 and 2 supersede it on photorealism and instruction-following. Still worth picking when you want the original GPT Image aesthetic for typographic work specifically.

The mid-quality tier of OpenAI's GPT Image 1.5. Improved photorealism and instruction-following over GPT Image 1 at a more reasonable cost than GPT Image 1.5 High. Solid pick for ads, packaging, and marketing creative when GPT Image 2 pricing is excessive.

The high-quality tier of OpenAI's GPT Image 1.5 mid-generation release. Improved photorealism over GPT Image 1 with the same industry-leading text rendering, ideal for ads, packaging, and editorial layouts where typography and image quality both matter. Surpassed by GPT Image 2 High for premium work but cheaper at the high tier.

OpenAI's GPT Image 2 budget tier. Same model architecture as GPT Image 2 Medium and High at a fraction of the cost — useful for high-volume iteration, draft generation, and exploration before committing to higher tiers for finals.

OpenAI's GPT Image 2 at the medium quality tier. Combines top-of-the-leaderboard prompt adherence on Artificial Analysis with the strongest typography rendering of any image model — exact text in quotes, complex layouts, and packaging mockups all just work. The default choice for production marketing creative when GPT Image 2 High's premium pricing isn't justified.

OpenAI's GPT Image 2 at maximum quality, currently ranked #1 on the Artificial Analysis text-to-image arena. Delivers magazine-cover fidelity with industry-best text rendering and complex prompt adherence — pick it for hero shots, premium ad creative, and editorial covers where the cost per image is worth the output.

Black Forest Labs' fastest, lowest-cost Flux variant. Built for rapid prototyping, moodboards, and high-volume batch generation where speed and credit cost matter more than raw fidelity. Open-weight and well-supported in the community, with extensive prompt-pattern documentation accumulated since the original Flux release.

Black Forest Labs' workhorse flagship before the Flux 2 release. Strong stylization range across photorealistic and illustrated work with broad community knowledge of prompt patterns — a known quantity for production workflows. Edged out by Flux 2 Pro on detail and prompt adherence but still cost-competitive for everyday creative.

The smaller, faster open-weight variant of Black Forest Labs' Flux 2 family. Self-hostable for teams that want the Flux 2 aesthetic on their own infrastructure, with strong quality-per-credit at a lower cost than Flux 2 Pro. Good for iteration and exploration before stepping up to Pro or Max for finals.

Black Forest Labs' Flux 2 production tier — the current Flux flagship for most use cases. Stylized photorealism with stronger prompt adherence than Flux 1.1 Pro, broad aesthetic range, and reference-image support. Sits below Flux 2 Max on top-end fidelity but offers a better cost-quality ratio for production work.

The highest-fidelity tier in Black Forest Labs' Flux 2 family. Top-5 on the Artificial Analysis text-to-image arena with magazine-grade detail in textures, fabrics, and natural materials. Reach for it on hero shots, magazine layouts, and premium ad creative where the cost per image is justified.

Black Forest Labs' instruction-based image editor — describe an edit in plain English ('replace the background with a sunset beach', 'change the shirt to red') and get a clean result that preserves the rest of the scene. Strong identity and lighting consistency makes it production-ready for outfit swaps, background replacement, and prop changes.

The premium Flux Kontext tier from Black Forest Labs. Improved typography handling and stronger scene understanding than Flux Kontext Pro, suited to complex multi-step edits, art-directed photo manipulations, and edits involving on-image text. Pick this when Pro's results aren't sticking the landing on harder transformations.

Alibaba's Wan 2.2 image-generation model with cinematic 2MP output in seconds. Open-weight, with the same Wan-line stylization that the video model is known for. Useful for rapid concept work and budget-tier generation when speed and cost matter more than top-tier fidelity.

A fast 6B-parameter text-to-image model from the Z-Image lineup with surprisingly strong photorealism for its size. Built for high-volume iteration where credit cost and speed matter — moodboards, social variants, exploration before stepping up to a flagship. Open-weight and competitive at this budget tier.

Alibaba's Asian-trained text-to-image model with notable strength in complex multilingual text rendering — Chinese, Japanese, and Korean characters render reliably where most Western models struggle. Open-weight, with broad stylization range. Useful for content targeting Asian markets or any project requiring native-script typography in generated imagery.

Alibaba's unified generation-and-editing model with native 2K resolution and improved fidelity over the original Qwen Image. Strong text rendering across multiple scripts and natural cinematic stylization make it a solid pick for fashion, editorial, and content targeting Asian markets — and it doubles as an editor in the same checkpoint.

The premium tier of Alibaba's Qwen Image 2. Enhanced realism and text accuracy at native 2K with precise image-editing capability built in — competitive with Flux 2 Pro on the Artificial Analysis text-to-image arena. Best-in-class for stylized fashion photography with multilingual text demands.

Recraft's design-focused flagship, built around design taste rather than photorealism. Best-in-class typography rendering for an image model alongside strong prompt accuracy and art-directed composition. The natural choice for posters, packaging, brand assets, and any creative where text and graphic design matter as much as the image.

Recraft V4 in SVG output mode — generates production-ready vector images you can edit directly in Figma or Illustrator. Built for logos, icons, and scalable design assets where the output needs to be vector from the start. Unique in the AI image space; most models output rasters that don't trace cleanly.

Recraft's previous-generation realism model with strong long-form text rendering and photorealistic outputs. Surpassed by Recraft V4 on overall design taste and prompt accuracy, but still useful when you want the older Recraft V3 aesthetic specifically. Same checkpoint underneath as the V3 Digital Illustration variant.

Recraft V3 in digital-illustration mode — consistent stylized output for editorial spot art, blog imagery, and content series. Useful when you need a series of images with a unified illustrated treatment rather than photorealism. Lower-cost than Recraft V4 if the simpler V3 aesthetic fits the brief.

xAI's image generation and editing model with strong prompt adherence and a distinctive personality-driven aesthetic. Built for X-platform-aligned content, social-media-ready imagery, and irreverent creative work where polish matters less than tone. Strong cost-quality at this tier compared to the major US flagships.

Ideogram's typography-focused image generator at the V3 release. Best-in-class text rendering at a lower cost than GPT Image, with photorealistic outputs that work for posters, packaging, and text-prominent ad creative. The natural choice when you need accurate on-image typography but GPT Image 2 pricing is excessive.

Ideogram V3 tuned for digital illustration — typography-aware editorial spot art and blog imagery with consistent stylized treatment. Same V3 checkpoint as the realism variant; the illustration mode just shifts default style. Cheaper than Recraft for editorial content where text legibility matters.