[Core Function] Reve Remix is Reve's multi-image composition model that blends 1 to 6 reference images guided by a text prompt. [Strengths] It excels at combining subjects, styles and elements from multiple references into one coherent image, and supports inline <img id></img> markers in the prompt to address specific input images by index. [Best For] Highly recommended for: merging subjects from different photos, transferring style from reference images, compositing a product into a new scene, and keeping a character consistent across references. [Limitations] Do NOT use this model for simple single-image edits; use Reve Edit for that. Do NOT use it for pure text-to-image generation; use Reve Create for that. It accepts between 1 and 6 reference images. [Routing] Choose this model when the user supplies multiple reference images to blend into a single result.
[Core Function] Reve Edit is Reve's instruction-based single-image editing model. [Strengths] It excels at precise, localized edits that follow a natural-language instruction while preserving the untouched parts of the source image. [Best For] Highly recommended for: adding, removing or replacing objects, changing colors or attributes, adjusting style, and editing backgrounds on a single source image. [Limitations] Do NOT use this model to generate an image from scratch; use Reve Create for that. Do NOT use it to blend several images together; use Reve Remix for that. It requires exactly one reference image. [Routing] Choose this model when the user provides one image and wants targeted edits described in words.
[Core Function] Reve Create is Reve's flagship text-to-image generation model. [Strengths] It excels at precise prompt adherence and accurate in-image text and typography rendering, producing clean, aesthetically strong compositions. [Best For] Highly recommended for: posters and marketing graphics that contain readable text or logos, typography-driven designs, detailed multi-element scene composition, and concept art. [Limitations] Do NOT use this model to edit an existing image; use Reve Edit for that. Do NOT use it to blend multiple reference images; use Reve Remix for that. It is text-to-image only and accepts no image input. [Routing] Use this model as the default choice for Reve text-to-image generation. When the user supplies one image to modify, route to Reve Edit; when the user supplies several images to combine, route to Reve Remix.
[Core Function] Nano Banana 2 Lite Edit (Gemini 3.1 Flash Lite Image) is the lightweight, cost-efficient image editing model of the Nano Banana 2 family; it transforms one or more input images per a text instruction. [Strengths] It performs fast, low-cost instruction-based editing across up to 14 input images. [Best For] Highly recommended for: high-volume edits, quick style transforms, and batch background or attribute changes where cost and throughput matter. [Limitations] Do NOT use this model when you need the highest edit fidelity or richest detail; use Nano Banana 2 Edit or Nano Banana Pro Edit instead. [Routing] Choose the Lite variant for cost- and throughput-sensitive edits; step up to Nano Banana 2 Edit for higher quality.
[Core Function] Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is the lightweight, cost-efficient text-to-image model of the Nano Banana 2 family. [Strengths] It generates images even faster and more cheaply than Nano Banana 2, well suited to high-volume creative and stylized output at lower cost. [Best For] Highly recommended for: high-volume batch generation, quick drafts and thumbnails, and cost-sensitive creative iteration. [Limitations] Do NOT use this model when you need maximum detail, high-end photorealism, or the richest quality; use Nano Banana 2, Nano Banana Pro, or the Imagen 4 series instead. [Routing] Choose the Lite variant when cost and throughput matter more than peak quality; step up to Nano Banana 2 for richer results.
[Core Function] Grok Imagine Image Edit is xAI's standard image editing model. [Strengths] It excels at quickly applying prompt-guided edits and style changes to one or more source images. [Best For] Highly recommended for: fast restyling, quick variations, and lightweight image edits. [Limitations] Do NOT use this model when maximum edit fidelity is required; the Quality variant preserves more detail. A maximum of 3 source images is supported. [Routing] Choose this model for fast edits. When the user demands maximum fidelity, route to Grok Imagine Image Edit (Quality).
[Core Function] Grok Imagine Image Edit (Quality) is xAI's high-fidelity image editing model. [Strengths] It excels at applying detailed, prompt-guided edits and style transformations to one or more source images while preserving fine detail. [Best For] Highly recommended for: high-quality restyling, detailed inpainting-style edits, and combining up to 3 source images. [Limitations] Do NOT use this model when latency is critical, as it is slower than the standard edit variant; a maximum of 3 source images is supported. [Routing] Use this model by default for quality-sensitive edits. For faster edits, route to Grok Imagine Image Edit (standard).
[Core Function] Grok Imagine Image is xAI's standard text-to-image generation model. [Strengths] It excels at quickly generating solid, visually appealing images from a text prompt across a wide range of aspect ratios. [Best For] Highly recommended for: rapid prototyping, social media content, and general-purpose image generation. [Limitations] Do NOT use this model when maximum detail or fidelity is required; the Quality variant produces richer detail. [Routing] Choose this model for fast, general image generation. When the user demands maximum fidelity, route to Grok Imagine Image (Quality).
[Core Function] Grok Imagine Image (Quality) is xAI's high-fidelity text-to-image generation model. [Strengths] It excels at producing richly detailed, high-quality images from a text prompt, with flexible aspect ratios and an optional 2K resolution. [Best For] Highly recommended for: detailed concept art, marketing visuals, and any scenario where image quality is prioritized over generation speed. [Limitations] Do NOT use this model when latency is critical, as generation is slower than the standard model. [Routing] Use this model by default when the user emphasizes quality or detail. For faster, lighter generation use Grok Imagine Image (standard).