Images · Text to image · Image to image
GPT Image 1 API
Legacy id. Requests run on GPT Image 2.5 Flare: text-to-image and image editing.
- Price
- From $0.01 per run from $0.01/image
- Typical time
- ~30 s
- Model id
gpt_image_1
GPT Image 1 runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.
curl -X POST https://api.varg.ai/v2/tools/image/call \
-H "Authorization: Bearer $VARG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt_image_1",
"prompt": "A photorealistic product photo of a coffee bag labeled \"Summit Roast\" with mountain artwork, on a rustic wooden table"
}'GPT Image 1 pricing
From $0.01 per run. Prices are in US dollars and are the provider's own, with no markup. GPT Image 1 has 2 routes: "model": "gpt_image_1" picks one automatically, or pass a route key as "model" to pin it. For the exact price of a request, send the same body to POST https://api.varg.ai/v2/estimate.
- fal from $0.01/image
fal:openai/gpt-image-2.5/flare/text-to-imageText to image OpenAI GPT Image 2.5 Flare text-to-image — fast, high-quality generation with natural lighting, rich textures, and support for complex layouts including transparent backgrounds. The default choice for most applications.
- Quality low
- $0.01/image
- Quality medium
- $0.02/image
- Quality high
- $0.06/image
- Quality xhigh
- $0.10/image
- Quality max
- $0.22/image
- Other
- $0.06/image
- Most one request can cost
- $1.64
- Typical time
- ~30 s
- fal from $0.01/image
fal:openai/gpt-image-2.5/flare/editImage to image OpenAI GPT Image 2.5 Flare image editing — precise edits that change only what's asked, keeping subject, composition, and background intact. Reference subjects stay recognizable across styles and successive edits.
- Quality low
- $0.01/image
- Quality medium
- $0.02/image
- Quality high
- $0.06/image
- Quality xhigh
- $0.10/image
- Quality max
- $0.22/image
- Other
- $0.06/image
- Extra per image_urls
- +$0.01
- Most one request can cost
- $2.00
- Typical time
- ~30 s
GPT Image 1 inputs
The JSON body of the request. Media inputs are URLs: upload a local file with POST /v2/files and pass the URL it returns. Full JSON Schema, no key needed: api.varg.ai/v2/tools/image?model=gpt_image_1
| Field | What it does |
|---|---|
model string required | gpt_image_1 picks a route automatically. To pin one, pass a route key from Pricing above. |
prompt string | — |
files array of { url } | — |
aspect_ratio string | Allowed e.g. 16:9 | 9:16 | 1:1 | 4:3 | 3:4 | 21:9 | auto |
Provider options
Optional, under provider_options.<provider>. Only the options of the provider that runs the job apply; pin a route to choose it.
provider_options.fal
| Field | What it does |
|---|---|
prompt string | The prompt for image generation. |
image_urls array of URL strings | — |
quality string | Allowed auto | low | medium | high | xhigh | max |
sync_mode boolean | If True, the media is returned as a data URI and the output data won't be available in the request history. |
background string | Allowed auto | transparent | opaque |
num_images integer | Number of images to generate. Allowed 1–4 |
output_format string | Allowed jpeg | png | webp |
output_compression integer | Compression level from 0 to 100. Only supported when output_format is 'jpeg' or 'webp'. Allowed 0–100 |
mask_url string (URL) | The URL of the mask image to use for the generation. This indicates what part of the image to edit. |
Call the GPT Image 1 API
POST https://api.varg.ai/v2/tools/image/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away.
1. Send the request
curl -X POST https://api.varg.ai/v2/tools/image/call \
-H "Authorization: Bearer $VARG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt_image_1",
"prompt": "A photorealistic product photo of a coffee bag labeled \"Summit Roast\" with mountain artwork, on a rustic wooden table"
}'JavaScript
const headers = {
Authorization: `Bearer ${process.env.VARG_API_KEY}`,
'Content-Type': 'application/json',
}
const res = await fetch('https://api.varg.ai/v2/tools/image/call', {
method: 'POST',
headers,
body: JSON.stringify({
"model": "gpt_image_1",
"prompt": "A photorealistic product photo of a coffee bag labeled \"Summit Roast\" with mountain artwork, on a rustic wooden table"
}),
})
const job = await res.json() // { id: "job_…", status: "queued" }Python
import os
import requests
headers = {"Authorization": f"Bearer {os.environ['VARG_API_KEY']}"}
job = requests.post(
"https://api.varg.ai/v2/tools/image/call",
headers=headers,
json={
"model": "gpt_image_1",
"prompt": "A photorealistic product photo of a coffee bag labeled \"Summit Roast\" with mountain artwork, on a rustic wooden table"
},
).json() # {"id": "job_…", "status": "queued"}2. Get the result
Poll the job until its status is completed, failed or cancelled; GPT Image 1 typically takes about 30 s. The result is at output.outputs[0].url.
curl https://api.varg.ai/v2/jobs/$JOB_ID \
-H "Authorization: Bearer $VARG_API_KEY"
# Poll until "status" is completed, failed or cancelled.
# The result is in output.outputs[0].urlJavaScript
let current = job
while (!['completed', 'failed', 'cancelled'].includes(current.status)) {
await new Promise((resolve) => setTimeout(resolve, 3000))
current = await (await fetch(`https://api.varg.ai/v2/jobs/${current.id}`, { headers })).json()
}
console.log(current.output?.outputs?.[0]?.url)Python
import time
while job["status"] not in ("completed", "failed", "cancelled"):
time.sleep(3)
job = requests.get(f"https://api.varg.ai/v2/jobs/{job['id']}", headers=headers).json()
print(job["output"]["outputs"][0]["url"])Or take a webhook instead of polling
Add options.webhook_url and varg POSTs the finished job to it.
{
"model": "gpt_image_1",
"prompt": "A photorealistic product photo of a coffee bag labeled \"Summit Roast\" with mountain artwork, on a rustic wooden table",
"options": {
"webhook_url": "https://your-app.com/varg-webhook"
}
}From Claude, ChatGPT or Cursor (MCP)
The varg MCP server, https://mcp.varg.ai/mcp, runs GPT Image 1 with call_tool. Sign in with varg, no API key to paste. How to connect it
{
"tool": "image",
"input": {
"model": "gpt_image_1",
"prompt": "A photorealistic product photo of a coffee bag labeled \"Summit Roast\" with mountain artwork, on a rustic wooden table"
},
"wait": true
}GPT Image 1 API: questions
- How much does GPT Image 1 cost on varg?
- GPT Image 1 costs from $0.01 per run on varg (from $0.01/image on the cheapest route). varg charges the provider's price with no markup, from one credit balance. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.
- How do I call the GPT Image 1 API?
- Send POST https://api.varg.ai/v2/tools/image/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model": "gpt_image_1". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.
- Can I use GPT Image 1 from Claude, ChatGPT or Cursor?
- Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs GPT Image 1 with call_tool, passing tool "image" and "model": "gpt_image_1".
- How long does a GPT Image 1 request take?
- Typically about 30 s on the fastest route, by the catalog's estimate. The API answers at once with a job id, so nothing waits on an open connection while it runs.
For AI agents: this page as Markdown is varg.ai/models/gpt_image_1.md, and every model is listed in varg.ai/models/llms.txt.