Imagen 4 Fast
Imagen 4 Fast is Google's throughput-optimized image generation model, the fast tier of Imagen 4, built for high-volume pipelines, real-time applications, and rapid creative iteration where generation speed and cost per image determine whether a workflow is viable.
import { experimental_generateImage as generateImage } from 'ai';
const result = await generateImage({ model: 'google/imagen-4.0-fast-generate-001', prompt: 'A red balloon on a wooden table.'});Playground
Try out Imagen 4 Fast by Google. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Imagen 4 Fast
Your generated image will appear here
Providers
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
| Provider |
|---|
 Google Vertex AI | 480 | — | — | 06/01/2025 |
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About Imagen 4 Fast
Imagen 4 Fast is the speed-optimized tier in Google's Imagen 4 family. All three Imagen 4 variants (fast, standard, and ultra) launched simultaneously on AI Gateway as dedicated image-only models. The fast tier prioritizes generation speed and cost efficiency over maximum visual fidelity.
For interactive applications like product configurators, creative tools with live preview, and social media features where users expect near-real-time image generation, the fast tier's lower latency makes those features viable. For batch pipelines that process large catalogs of product images, generate thumbnails at scale, or apply visual transformations to a content library, the cost-per-image economics can determine whether a workflow is financially sustainable.
Because it's a pure image generation model, the integration surface is minimal. A text prompt goes in, image data comes out. There's no text output channel to parse, no modality configuration to manage, and no reasoning layer overhead. Teams building image pipelines can drop fast tier generates into existing workflows without architectural changes.
The fast tier delivers Imagen 4 quality. The fast-versus-standard distinction is about where on the speed-fidelity curve the model sits, not whether it produces usable output. For most high-volume use cases, the fast tier produces production-ready images.
What To Consider When Choosing a Provider
- Configuration: This is a text-to-image model only: use
experimental_generateImage(aliased asgenerateImage) from the AI SDK. It does not supportgenerateText, streaming chat, or any response modality beyond image output. - Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
When to Use Imagen 4 Fast
Best For
- High-volume image pipelines: Per-image cost and generation throughput determine operational feasibility
- Real-time generation features: Interactive experiences require fast response times
- Concurrent batch jobs: Processing large prompt sets or product catalogs in parallel
- Iterative creative tools: Designers iterate through dozens of variations per session and turnaround speed affects workflow efficiency
- Cost-sensitive production: Quality requirements are met by the fast tier and the standard or ultra premium is unjustified
Consider Alternatives When
- Output quality is the bottleneck: Generation speed is not the constraint (consider
google/imagen-4.0-generate-001) - Maximum visual detail required: The use case demands the most detailed Imagen 4 output (consider
google/imagen-4.0-ultra-generate-001) - Text output alongside images: A multimodal model is needed (consider
google/gemini-3.1-flash-image-previeworgoogle/gemini-3-pro-image) - Video output required: Still images are not sufficient (consider the Veo model family)
Conclusion
Imagen 4 Fast is the high-throughput endpoint in the Imagen 4 family. For applications where generation volume, response latency, or cost per image are binding constraints, it delivers Imagen 4 quality within a speed and cost profile designed for production-scale operation.