Veo 2 is Google's legacy generally-available video model, announced in December 2024, before native audio joined the Veo line.
- Input
- text image
- Output
- video
- Price
- $0.5/s
Price in context
Where the price sits among 5 comparable models
The bar shows how this model’s price compares with every other model of the same kind on Synthorai. The cheapest and the most expensive are named at each end. These are base rates; batch, region and cache-write discounts are on the pricing page.
Specs & limits
Video
| Resolution | 720p |
|---|---|
| Clip length | 5-8 s A continuous range, not a fixed set. |
| Frame rate | 24 fps |
| Aspect ratios | 16:9 · 9:16 |
| Video inputs | text-to-video · first-frame image-to-video (single image) |
| Format | .mp4 |
Model
| Modalities | text + image → video |
|---|
- Google's legacy Veo 2 GA video model (announced December 2024, before native audio joined the Veo line): silent 720p output only, text-to-video plus single first-frame image-to-video, 24 fps, 5-8 s, 16:9 and 9:16
- no audio track and no last-frame or reference-image input (those arrive in the Veo 3.x generations). Google now lists Veo 3.1 as the recommended replacement. Synthorai serves it via the async /v1/videos job API and bills per output second (upstream returns no usage, so duration is metered from the request)
Use Veo 2 in 30 seconds
Asynchronous job API: create a task and poll it, or hold the request open with Prefer: wait. POST /v1/videos
import time
import requests
BASE = "https://synthorai.io/v1"
HEADERS = {"Authorization": "Bearer sk-syn-..."}
# 1) create the video generation job (POST /v1/videos)
task = requests.post(
f"{BASE}/videos",
headers=HEADERS,
json={
"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p",
"duration": 5,
},
).json()
# 2) poll the job until it reaches a terminal state
while task["status"] in ("queued", "in_progress"):
time.sleep(5)
task = requests.get(f"{BASE}/videos/{task['id']}", headers=HEADERS).json()
# 3) completed → signed video URL (valid ~24h - download and store it promptly)
if task["status"] == "completed":
print(task["data"][0]["url"])
else:
print(task["error"])const HEADERS = {
Authorization: "Bearer sk-syn-...",
"Content-Type": "application/json",
};
interface VideoTask {
id: string;
status: "queued" | "in_progress" | "completed" | "failed" | "cancelled";
data?: Array<{ url: string }>;
error?: { code: string; message: string };
}
// 1) create the video generation job (POST /v1/videos)
const created = await fetch("https://synthorai.io/v1/videos", {
method: "POST",
headers: HEADERS,
body: JSON.stringify({
model: "veo-2.0-generate-001",
prompt: "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
resolution: "720p",
duration: 5,
}),
});
let task = (await created.json()) as VideoTask;
// 2) poll the job until it reaches a terminal state
while (task.status === "queued" || task.status === "in_progress") {
await new Promise((r) => setTimeout(r, 5000));
const res = await fetch(`https://synthorai.io/v1/videos/${task.id}`, { headers: HEADERS });
task = (await res.json()) as VideoTask;
}
// 3) completed → signed video URL (valid ~24h — download and store it promptly)
if (task.status === "completed") console.log(task.data?.[0]?.url);
else console.error(task.error);# Create the job; "Prefer: wait" holds the request up to 60s and returns the
# completed task when generation finishes in time (else the queued task).
curl https://synthorai.io/v1/videos \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-H "Prefer: wait=60" \
-d '{
"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p",
"duration": 5
}'
# Still queued / in_progress? Poll until completed → data[0].url (valid ~24h).
curl https://synthorai.io/v1/videos/vid_9f2e8c1a4b7d \
-H "Authorization: Bearer sk-syn-..."package main
import (
"bytes"
"encoding/json"
"fmt"
"net/http"
"time"
)
const base = "https://synthorai.io/v1"
type videoTask struct {
ID string `json:"id"`
Status string `json:"status"`
Data []struct {
URL string `json:"url"`
} `json:"data"`
}
func call(method, url string, body []byte) (t videoTask) {
req, _ := http.NewRequest(method, url, bytes.NewReader(body))
req.Header.Set("Authorization", "Bearer sk-syn-...")
req.Header.Set("Content-Type", "application/json")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
json.NewDecoder(resp.Body).Decode(&t)
return t
}
func main() {
// 1) create the video generation job (POST /v1/videos)
payload, _ := json.Marshal(map[string]any{
"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p",
"duration": 5,
})
task := call("POST", base+"/videos", payload)
// 2) poll the job until it reaches a terminal state
for task.Status == "queued" || task.Status == "in_progress" {
time.Sleep(5 * time.Second)
task = call("GET", base+"/videos/"+task.ID, nil)
}
// 3) completed → signed video URL (valid ~24h — download and store promptly)
if task.Status == "completed" {
fmt.Println(task.Data[0].URL)
}
}import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
// JDK built-in HttpClient — no extra dependency needed.
HttpClient http = HttpClient.newHttpClient();
// 1) create the job; "Prefer: wait=60" holds the request up to 60s and
// returns the completed task when generation finishes in time
HttpRequest create = HttpRequest.newBuilder(URI.create("https://synthorai.io/v1/videos"))
.header("Authorization", "Bearer sk-syn-...")
.header("Content-Type", "application/json")
.header("Prefer", "wait=60")
.POST(HttpRequest.BodyPublishers.ofString("""
{"model": "veo-2.0-generate-001",
"prompt": "a watercolor lighthouse at dawn, waves rolling in, camera pulling back",
"resolution": "720p", "duration": 5}"""))
.build();
String task = http.send(create, HttpResponse.BodyHandlers.ofString()).body();
System.out.println(task); // {"id":"vid_…","status":…} — completed → data[0].url
// 2) still queued / in_progress? Poll GET https://synthorai.io/v1/videos/{id} until the
// status turns completed, then download data[0].url (valid ~24h).About Veo 2
- It generates silent .mp4 clips from a text prompt or a single first-frame image at 720p, 24 fps, 5 to 8 seconds long, in 16:9 or 9:16, and it is the only Veo whose duration is a continuous range rather than the fixed 4, 6, or 8 seconds of the later generations.
- It also predates video extension, which arrives with Veo 3.1, and it is the one model in the line whose prompt rewriter can be turned off, so prompts reach the model exactly as written instead of being expanded first.
- Shared request controls apply: up to four videos per call, a seed for reproducibility, a negative prompt, camera-motion selection for image-driven clips, a choice between padding and cropping when the input aspect ratio does not match, and optimized or lossless compression, with Content Credentials embedded in the output.
- Google now lists Veo 3.1 as the recommended replacement, but Veo 2 remains available for existing workflows and cost-sensitive silent output.
- Synthorai serves it through the asynchronous /v1/videos job API and bills per output second (the upstream returns no usage, so duration is metered from the request).
- Create a task and poll it, or use Prefer: wait for short jobs.
FAQ
Is the Veo 2 API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. That's enough to try Veo 2 against your real workload before adding a payment method.
What is Veo 2 best at?
Legacy GA model, silent 720p output; text- and single-image-to-video; 5-8 seconds at 24 fps. See the About section for the full picture from the vendor's own release notes.
How much does Veo 2 cost?
Veo 2 costs $0.5 per second of generated video on Synthorai. Only successful generations are billed: pay-as-you-go, no platform markup, no subscription.
How do I generate videos with the Veo 2 API?
POST to /v1/videos on Synthorai with model="veo-2.0-generate-001" to create an asynchronous job, then poll the task (or hold the request open with a Prefer: wait header) until the video URL is ready. No vendor SDK is needed.
How do I get access to Veo 2?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="veo-2.0-generate-001", and you're done. One API key covers every model on the gateway.
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Every value on this page is transcribed from the vendor's own documentation, linked above, and carries the date it was checked. Prices are compared across the catalogue; specification values that vendors define differently are shown with the difference stated rather than charted. Nothing here is measured by us, and nothing is scored.