per image
ByteDance/Seedream-4
deepinfra/ByteDance/Seedream-4
Seedream 4.0 is a SOTA multimodal image creation model built on leading architecture. It breaks through the boundaries of traditional text-to-image models by natively supporting text, single-image, and multi-image inputs. Users can freely combine text and images to achieve diverse creative modes within a single model—such as multi-image blending, image editing, and sequentially batch image generation, featuring subject consistency, making image creation more free and controllable.
Price
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| DeepInfra | — | — | Not published— | Not published— | — | — | Listed | deepinfra |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$40.00 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| image | Not published— | Not published— | $0.04/image | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | image | Not published— | Not published— | $0.04 |
| 2026-10-09 | image | Not published— | Not published— | $0.04 |
| 2026-10-10 | image | Not published— | Not published— | $0.04 |
| 2026-10-11 | image | Not published— | Not published— | $0.04 |
| 2026-10-12 | image | Not published— | Not published— | $0.04 |
| 2026-10-13 | image | Not published— | Not published— | $0.04 |
| 2026-10-14 | image | Not published— | Not published— | $0.04 |
| 2026-10-15 | image | Not published— | Not published— | $0.04 |
| 2026-10-16 | image | Not published— | Not published— | $0.04 |
| 2026-10-17 | image | Not published— | Not published— | $0.04 |
| 2026-10-18 | image | Not published— | Not published— | $0.04 |
| 2026-10-19 | image | Not published— | Not published— | $0.04 |
| 2026-10-20 | image | Not published— | Not published— | $0.04 |
| 2026-10-21 | image | Not published— | Not published— | $0.04 |
| 2026-10-22 | image | Not published— | Not published— | $0.04 |
| 2026-10-23 | image | Not published— | Not published— | $0.04 |
| 2026-10-24 | image | Not published— | Not published— | $0.04 |
| 2026-10-25 | image | Not published— | Not published— | $0.04 |
| 2026-10-26 | image | Not published— | Not published— | $0.04 |
| 2026-10-27 | image | Not published— | Not published— | $0.04 |
| 2026-10-28 | image | Not published— | Not published— | $0.04 |
| 2026-10-29 | image | Not published— | Not published— | $0.04 |
| 2026-10-30 | image | Not published— | Not published— | $0.04 |
Alternatives
- black-forest-labs/FLUX-1.1-pro$0.04/image · Compare
- Bria/blur_background$0.04/image · Compare
- Bria/Bria-3.2$0.04/image · Compare
- Bria/Bria-3.2-vector$0.04/image · Compare
- Bria/erase_foreground$0.04/image · Compare
- Bria/expand$0.04/image · Compare
Parameters (1)
Call this model
OpenRouter id deepinfra/ByteDance/Seedream-4. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"deepinfra/ByteDance/Seedream-4","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepinfra/ByteDance/Seedream-4",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "deepinfra/ByteDance/Seedream-4", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())