Veo 3.1 API 价格：Veo 3.1、Fast 和 Lite 对比

export REVANA_API_KEY="sr_live_..."

# 1. Submit the job (returns 202 with the generation id)
curl https://api.revana.si/v1/generations \
  -H "Authorization: Bearer $REVANA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "veo-3.1-fast",
    "input": {
      "prompt": "A barista slides a latte across the counter and says: \"Here you go, one oat latte.\" Close-up, shallow depth of field, warm morning light. Espresso machine hiss, quiet cafe chatter, no music.",
      "resolution": "720p",
      "duration": 8,
      "aspect_ratio": "16:9",
      "audio": true
    },
    "max_cost_usd": 1.5
  }'

# 2. Poll with the id from step 1 until status is "succeeded" or "failed"
curl https://api.revana.si/v1/generations/gen_01JBX7Q2M4 \
  -H "Authorization: Bearer $REVANA_API_KEY"

import os
import time

import requests

API = "https://api.revana.si/v1"
HEADERS = {"Authorization": f"Bearer {os.environ['REVANA_API_KEY']}"}

resp = requests.post(f"{API}/generations", headers=HEADERS, json={
    "model": "veo-3.1-fast",
    "input": {
        "prompt": "A barista slides a latte across the counter and says: \"Here you go, one oat latte.\" Close-up, shallow depth of field, warm morning light. Espresso machine hiss, quiet cafe chatter, no music.",
        "resolution": "720p",
        "duration": 8,
        "aspect_ratio": "16:9",
        "audio": True,
    },
    "max_cost_usd": 1.5,
})
resp.raise_for_status()
job = resp.json()

while job["status"] in ("queued", "running"):
    time.sleep(5)
    job = requests.get(f"{API}/generations/{job['id']}", headers=HEADERS).json()

if job["status"] == "succeeded":
    print(job["output"]["urls"], job["cost_usd"])
else:
    print("Failed:", job["error"])

// Node 18 or later. Save as generate.mjs and run: node generate.mjs
const API = "https://api.revana.si/v1";
const headers = {
  Authorization: `Bearer ${process.env.REVANA_API_KEY}`,
  "Content-Type": "application/json",
};

const res = await fetch(`${API}/generations`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    model: "veo-3.1-fast",
    input: {
      prompt: "A barista slides a latte across the counter and says: \"Here you go, one oat latte.\" Close-up, shallow depth of field, warm morning light. Espresso machine hiss, quiet cafe chatter, no music.",
      resolution: "720p",
      duration: 8,
      aspect_ratio: "16:9",
      audio: true,
    },
    max_cost_usd: 1.5,
  }),
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
let job = await res.json();

while (job.status === "queued" || job.status === "running") {
  await new Promise((r) => setTimeout(r, 5000));
  job = await (await fetch(`${API}/generations/${job.id}`, { headers })).json();
}

if (job.status === "succeeded") console.log(job.output.urls, job.cost_usd);
else console.error("Failed:", job.error);

{
  "id": "gen_01JBX7Q2M4",
  "model": "veo-3.1-fast",
  "status": "succeeded",
  "output": {
    "urls": [
      "https://cdn.revana.si/g/gen_01JBX7Q2M4/0.mp4"
    ]
  },
  "cost_usd": 0.8,
  "attempts": 1,
  "error": null,
  "created_at": "2026-10-19T14:02:11Z",
  "completed_at": "2026-10-19T14:03:47Z"
}

{
  "model": "veo-3.1",
  "input": {
    "prompt": "The camera rises slowly from the busy street to the rooftop garden as evening falls. Traffic noise fades into wind and birdsong.",
    "image_url": "https://example.com/street.jpg",
    "end_image_url": "https://example.com/rooftop.jpg",
    "resolution": "1080p",
    "duration": 8,
    "aspect_ratio": "16:9",
    "audio": true
  },
  "max_cost_usd": 4
}

{
  "model": "veo-3.1-lite",
  "input": {
    "prompt": "The chef from the first image plates the dish from the second image in a bright restaurant kitchen, then looks up at the camera. Sizzling pans, a short laugh.",
    "image_urls": [
      "https://example.com/chef.jpg",
      "https://example.com/dish.jpg"
    ],
    "resolution": "720p",
    "duration": 6,
    "aspect_ratio": "9:16",
    "audio": true
  },
  "max_cost_usd": 1
}