Imagen 4
Google • image
Google's latest dedicated image generation family on Vertex AI, positioned around prompt fidelity, text rendering and enterprise deployment.
Specifications
Context Window
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Input Price/1M
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Output Price/1M
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Parameters
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Benchmarks
Imagen 4 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Image
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image Composite | 90.4 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Image Control
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image Control | 89.0 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Image Editing
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image Editing | 74.0 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Image Integration
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image API Readiness | 93.0 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Image Quality
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image Quality | 94.0 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Image Speed
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image Speed | 84.0 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Image Value
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SWEN Image Value | 77.0 | 100.0 | SWEN Image Registry v2026-06-22. Composite editorial score for image-generation products based on official capabilities, editing depth, control, speed, value and integration readiness. This is intentionally image-specific and not derived from AA LLM scores. |
Information
- Current version
- 4
- Tool Calling
- ❌ Not supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
- Tags
- imagetext-to-imageswen-image-registrygoogleimagenediting
Full Analysis: Imagen 4
What is Imagen 4?
Imagen 4 is an AI model developed by Google, classified as a image model. It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API.
Pricing & Costs in 2026
Imagen 4 does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Google's official website for up-to-date availability and pricing.
Benchmarks & Performance
Imagen 4 was evaluated on 7 different benchmarks, covering categories like Image, Image Control, Image Editing, Image Integration, Image Quality, Image Speed, Image Value. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Imagen 4 specializes in image, offering advanced capabilities for creating and processing image content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Imagen 4 competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Imagen 4?
Google's latest dedicated image generation family on Vertex AI, positioned around prompt fidelity, text rendering and enterprise deployment.
How much does Imagen 4 cost?
Imagen 4 does not have public per-token pricing available at this time. Check Google's official website for up-to-date information.
How does Imagen 4 compare with other models?
In available benchmarks, Imagen 4 scored: SWEN Image Composite: 90.4/100, SWEN Image Control: 89/100, SWEN Image Editing: 74/100. See the full table above for a detailed comparison.
Is Imagen 4 open source?
No, Imagen 4 is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Imagen 4 best for?
Imagen 4 excels at general-purpose language tasks.
Last updated: June 23, 2026 • View methodology →