- 🆕 xAI's text-to-image model for imaginative, expressive scenes.
- ⚡ Fast generation, up to ten images per request.
- 🔧 Editing combines up to three source images in one call.
- 📏 Configurable aspect ratio, resolution, and response format.
- 🎯 Part of xAI's broader Imagine creative suite.
- 💬 Sits alongside a higher-quality "quality mode" variant.
- 🌐 Served through xAI's Imagine API.
xAI is an American artificial intelligence company and wholly owned subsidiary of SpaceX. The company develops AI systems under the Grok brand, spanning language models, image generation, and video synthesis. xAI has quickly established itself as a multimodal AI lab with…
Explore 8 more models by XAI (company) →Grok Imagine is xAI's text-to-image generation model, part of the broader Imagine creative suite that spans image generation, editing, and video. According to provider documentation, it produces images from text prompts with configurable output count (up to ten per request), aspect ratio, resolution, and response format, and supports editing that combines up to three source images for compositing subjects, transferring styles, and composing scenes. It is exposed through xAI's Imagine API for developer integration.
Within the family, this model is positioned as the standard image option, sitting alongside a higher-quality path. xAI's Grok Imagine High Quality (SOTA) and the Grok Imagine High Quality editing model run in a dedicated quality mode that the provider documents as emphasizing higher fidelity and tighter creative control.
Beyond still images, the Imagine line connects to xAI's text-to-video and image-to-video systems, including siblings such as Grok Imagine for video and Grok Imagine R2V for reference-driven clips. Together these models form a single creative API surface, letting a workflow move from generating an image to editing it and then animating it within the same family.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | $ / img | Categories | API |
|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 100.00 | #2 | $0.015 | image,creative | openai-images |
| ▲ Apex Ant 0x73b4…e736 | 91.01 | #1 | $0.01 | image,media | openai-images |
| D5V1N2 0xd5e7…7be0 | 33.17 | gated | $0.035 | image,creative,router,fallback | openai-images |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.