OpenAI's current image models — Sunburst for quality, Flare for fast everyday generation
OpenAI's image line has moved quickly: GPT Image 1 relaunched ChatGPT image generation in 2025, GPT Image 2 followed in April 2026, and GPT Image 2.5 arrived in September 2026 in two variants, Sunburst (the most capable) and Flare (fast, everyday generation). Native multimodal generation (the same model reasons about text and pixels together) is what gives the line its instruction-following, in-context editing, and text rendering. Default choice for API-accessible image gen; GPT Image 1 is still served but there is no reason to start on it.
OpenAI's older text-to-image model — superseded by the GPT Image line
Superseded by the GPT Image models for new work — weaker instruction-following and text rendering by comparison. Still reachable via the legacy Images API for existing integrations that have not migrated yet.
Best-in-class aesthetic quality for creative image generation
Unmatched aesthetic quality and photorealism, now with Draft Mode for fast iteration and Omni Reference for consistent characters/objects across generations. Web app has closed most of the gap with Discord for non-API workflows. Best for creative teams, marketing assets, and concept art.
Black Forest Labs next-gen image model with exceptional detail
New leader in open-weight image generation. Superior detail, anatomy, and text rendering. The FLUX.1 Kontext variant extends the family into instruction-based image editing (change one element while preserving the rest) — a genuinely useful addition beyond pure generation. Dev variant is fully open-source. Available on Replicate, fal.ai, and self-hosted.
Stability AI's flagship open model with MMDiT architecture
Best fully open image model for fine-tuning and customization. New MMDiT architecture delivers major quality improvements. Strong LoRA and ControlNet ecosystem.
Text rendering champion — best for logos, posters, and signage
Unmatched at rendering legible text within images, with a big realism jump over v2 and a design-template feature for marketing layouts. Essential for marketing, signage, and design workflows where text accuracy matters. API available for integration.
Commercially safe image generation trained on licensed data
Only major model trained exclusively on licensed/public-domain data. IP indemnification makes it the safest choice for commercial use. Image 4 brought a noticeable quality and prompt-adherence jump over v3, plus an Ultra variant for maximum detail. Deep Creative Cloud integration.
Google's previous image model — shut down on the Gemini API in favour of the Nano Banana models
Excellent photorealism, prompt adherence, and typography in its day, but Google has shut Imagen 4 down on the Gemini API. Image generation there now runs through the Gemini-native "Nano Banana" models (Nano Banana 2.1 is the newest, with Nano Banana Pro for the highest fidelity), which add conversational editing. Check Vertex AI separately if you still depend on Imagen, and plan the move.
Real-time image generation in a single diffusion step
Still the fastest open image model — single-step generation in ~200ms. Quality below FLUX and SD3.5 but unbeatable for real-time interactive applications and previews.
Design-focused model excelling at vectors, icons, and illustrations
Best model for design assets — clean vectors, consistent brand styles, and precise icon generation. SVG output support is unique. Excellent for UI/UX designers and brand teams.
Free image generation model with strong community ecosystem
Good free alternative to proprietary models. Community-trained LoRAs extend capabilities. Quality behind FLUX and MJ but improving rapidly. Great for experimentation.
Alibaba Tongyi's fast image generation model
Fast inference with good quality. Strong at Asian-style imagery and CJK text rendering. Available via DashScope API. Interesting for multilingual and APAC use cases.
Sber open-source image model with multilingual understanding
Interesting open-source alternative from Sber. Good multilingual prompt understanding especially for Russian and Cyrillic text. Useful for non-English image generation workflows.
