per second
Wan 3.0
fal/alibaba/wan-3.0/reference-to-video
Wan 3.0 is the latest generation AI video model, delivering enhanced motion smoothness, superior scene fidelity, and greater visual coherence.
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 |
|---|---|---|---|---|---|---|---|---|
| fal | — | — | Not published— | Not published— | — | — | Listed | fal |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$50.00 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| second | Not published— | Not published— | $0.05/second | official |
Price history
input or flat output
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | seconds | Not published— | Not published— | $0.05 |
| 2026-10-09 | second | Not published— | Not published— | $0.05 |
| 2026-10-10 | second | Not published— | Not published— | $0.05 |
| 2026-10-11 | second | Not published— | Not published— | $0.05 |
| 2026-10-12 | second | Not published— | Not published— | $0.05 |
| 2026-10-13 | second | Not published— | Not published— | $0.05 |
| 2026-10-14 | second | Not published— | Not published— | $0.05 |
| 2026-10-15 | second | Not published— | Not published— | $0.05 |
| 2026-10-16 | second | Not published— | Not published— | $0.05 |
| 2026-10-17 | second | Not published— | Not published— | $0.05 |
| 2026-10-18 | second | Not published— | Not published— | $0.05 |
| 2026-10-19 | second | Not published— | Not published— | $0.05 |
| 2026-10-20 | second | Not published— | Not published— | $0.05 |
| 2026-10-21 | second | Not published— | Not published— | $0.05 |
| 2026-10-22 | second | Not published— | Not published— | $0.05 |
| 2026-10-23 | second | Not published— | Not published— | $0.05 |
| 2026-10-24 | second | Not published— | Not published— | $0.05 |
| 2026-10-25 | second | Not published— | Not published— | $0.05 |
| 2026-10-26 | second | Not published— | Not published— | $0.05 |
| 2026-10-27 | second | Not published— | Not published— | $0.05 |
| 2026-10-28 | second | Not published— | Not published— | $0.05 |
| 2026-10-29 | second | Not published— | Not published— | $0.05 |
| 2026-10-30 | second | Not published— | Not published— | $0.05 |
Alternatives
- H3 Max Lip Sync Image to Video$0.05/second · Compare
- H3 Max Reference to Video$0.05/second · Compare
- MiniMax H3 Image to Video$0.05/second · Compare
- MiniMax H3 Reference to Video$0.05/second · Compare
- Wan 3.0$0.05/second · Compare
- Z.ai: GLM 5.3 Flash (batch)$0.05/1M · Compare
Call this model
OpenRouter id fal/alibaba/wan-3.0/reference-to-video. 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":"fal/alibaba/wan-3.0/reference-to-video","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: "fal/alibaba/wan-3.0/reference-to-video",
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": "fal/alibaba/wan-3.0/reference-to-video", "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())