Product concept
An original cobalt ceramic perfume bottle on warm limestone, soft side lighting, clean composition, no logos.
Try this prompt ↗No matching models
Explore all modelsCreate images with GPT Image 2.5 Flare using text, images. Available resolutions: 1k / 2k / 4k. Try the current API settings, preview results and reuse your inputs.
{
"model": "gpt-image-2.5-flare",
"input": {
"quality": "medium",
"resolution": "1k",
"output_format": "jpeg",
"prompt": "A quiet mountain lake at sunrise, soft morning light."
}
}Your next idea starts here.
Run the model to preview your result.The example follows your Playground parameters.
curl --request POST 'https://newrouters.com/v1/tasks' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $MODEL_API_KEY" \
--data '{
"model": "gpt-image-2.5-flare",
"input": {
"quality": "medium",
"resolution": "1k",
"output_format": "jpeg",
"prompt": "A quiet mountain lake at sunrise, soft morning light."
}
}'Set MODEL_API_KEY in your environment. Keep your secret key on the server. Full documentation ↗
Estimate one request, then choose a budget for your workflow.
| Usage | Quantity | Rate | Cost |
|---|---|---|---|
| 1k | 1 request | $0.03/ request | $0.03 |
Public USD estimate. Your account rate and final recorded usage determine the actual charge.
| Specification | Our price | Official reference |
|---|---|---|
| 1k | $0.03 / request | — |
| 2k | $0.06 / request | — |
| 4k | $0.15 / request | — |
Choose a starter prompt, adapt it to your needs and run the model.
An original cobalt ceramic perfume bottle on warm limestone, soft side lighting, clean composition, no logos.
Try this prompt ↗A modern coastal library at sunrise, soft light through linen curtains, calm water reflecting the architecture, cinematic composition.
Try this prompt ↗Tiny original robots crafting a paper lantern in a warm workshop, delicate tools, soft practical lighting and expressive characters.
Try this prompt ↗Create images with GPT Image 2.5 Flare using text, images. Available resolutions: 1k / 2k / 4k. Try the current API settings, preview results and reuse your inputs.
Describe the subject, composition, lighting and intended use in your prompt. Add reference images when you want to guide the subject or visual style. Choose only the resolution, aspect ratio and output options listed in the current contract; inspect the result before reusing it in your product.
| Model ID | gpt-image-2.5-flare |
|---|---|
| Provider | OpenAI |
| API | /v1/tasks |
| Resolution | 1k / 2k / 4k |
| Aspect ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
| Quality | low / medium / high / xhigh / max / auto |
| Output format | png / jpeg / webp |
| Background | auto / transparent / opaque |
| Reference images | Up to 20 |
| Specification | GPT Image 2.5 Flare | GPT Image 2 | GPT Image 2.5 Sunburst |
|---|---|---|---|
| Provider | OpenAI | OpenAI | OpenAI |
| Input → output | TextImageImage | TextImageImage | TextImageImage |
| Selection basis | Current model | Both declare text, image input · Same billing units | Both declare text, image input · Same billing units |
| Resolution | 1k / 2k / 4k | 1k / 2k / 4k | 1k / 2k / 4k |
| Reference images | 20 | 20 | 20 |
| Starting price | $0.03 / request | $0.02 / request | $0.03 / request |
Choose by the input types, output settings and billing unit your workflow needs. Try the same prompt across models to compare results for your own use case.
Submit parameters through the Media Tasks API, then retrieve the result with the task ID. Image and video models keep their own input requirements.
Sign in and prepare a key with access to this model.
Choose parameters in Playground and copy the API example.
Review status, outputs and charges in History.
POST /v1/tasks · Authorization: Bearer
curl 'https://newrouters.com/v1/tasks' \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $MODEL_API_KEY" \
--data '{
"model": "gpt-image-2.5-flare",
"input": {
"quality": "medium",
"resolution": "1k",
"output_format": "jpeg",
"prompt": "A quiet mountain lake at sunrise, soft morning light."
}
}'const response = await fetch("https://newrouters.com/v1/tasks", {
method: "POST",
headers: {
"Content-Type": "application/json",
"Authorization": "Bearer $MODEL_API_KEY"
},
body: JSON.stringify({
"model": "gpt-image-2.5-flare",
"input": {
"quality": "medium",
"resolution": "1k",
"output_format": "jpeg",
"prompt": "A quiet mountain lake at sunrise, soft morning light."
}
})
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.text());import json
import requests
response = requests.post(
"https://newrouters.com/v1/tasks",
headers=json.loads("{\"Content-Type\":\"application/json\",\"Authorization\":\"Bearer $MODEL_API_KEY\"}"),
json=json.loads("{\"model\":\"gpt-image-2.5-flare\",\"input\":{\"quality\":\"medium\",\"resolution\":\"1k\",\"output_format\":\"jpeg\",\"prompt\":\"A quiet mountain lake at sunrise, soft morning light.\"}}"),
timeout=300,
)
response.raise_for_status()
print(response.text)Poll the returned task ID for processing status and output assets.
curl -H "Authorization: Bearer $MODEL_API_KEY" "https://newrouters.com/v1/tasks/$TASK_ID"Documentation: Authentication · Task status and results · Error handling
| Parameter | Type | Values & constraints |
|---|---|---|
size | string | Deprecated compatibility field. Prefer aspect_ratio. |
images | array | |
prompt * | string | |
quality | JSON | "low" · "medium" · "high" · "xhigh" · "max" · "auto"Default: "medium" |
background | JSON | "auto" · "transparent" · "opaque" |
resolution | JSON | "1k" · "2k" · "4k"Default: "1k" |
aspect_ratio | JSON | "21:9" · "16:9" · "3:2" · "4:3" · "5:4" · "1:1" · "4:5" · "3:4" · "2:3" · "9:16" |
output_format | JSON | "png" · "jpeg" · "webp"Default: "jpeg" |
{
"type": "object",
"required": [
"prompt"
],
"properties": {
"size": {
"type": "string",
"pattern": "^(?:auto|[1-9][0-9]{1,4}x[1-9][0-9]{1,4})$",
"deprecated": true,
"description": "Deprecated compatibility field. Prefer aspect_ratio."
},
"images": {
"type": "array",
"items": {
"type": "string",
"format": "uri"
},
"maxItems": 20
},
"prompt": {
"type": "string",
"maxLength": 100000,
"minLength": 1
},
"quality": {
"enum": [
"low",
"medium",
"high",
"xhigh",
"max",
"auto"
],
"default": "medium"
},
"background": {
"enum": [
"auto",
"transparent",
"opaque"
]
},
"resolution": {
"enum": [
"1k",
"2k",
"4k"
],
"default": "1k"
},
"aspect_ratio": {
"enum": [
"21:9",
"16:9",
"3:2",
"4:3",
"5:4",
"1:1",
"4:5",
"3:4",
"2:3",
"9:16"
]
},
"output_format": {
"enum": [
"png",
"jpeg",
"webp"
],
"default": "jpeg"
}
},
"additionalProperties": false
}Answers about pricing, inputs, integration and results.
The current public price starts at $0.03 / request. The pricing section lists each specification. Playground checks your account price before submitting; the completed request records the final charge.
Sign in and open Quick Start above the workspace. Select or create a key with access to this model, then copy the request example.
Supported input fields: images, prompt, quality, background, resolution, aspect_ratio, output_format. The parameter table includes allowed values and defaults.
Yes. Use the reference mode to upload images or supply their URLs. The current limit is 20 images. Reference images guide a new generation; they do not imply mask editing support.
Save the returned task ID and query the task until it succeeds or fails. The History tab lets you reopen your tasks and reuse their parameters.
The model keeps its page and identity, but new generation requests are blocked. Existing task records remain accessible. An upstream outage is reported separately from an administrator closing the model.
Create from a prompt and reference images.
Choose a model ↗Explore text, references and frame inputs.
Choose a model ↗Integrate conversations, instructions and streaming.
Choose a model ↗Browse endpoints, request examples and integration steps.
Read documentation ↗Hello, API.Set up authentication, select a model and run your first request.
View docs section ↗/v1/tasksUnderstand task states, output URLs and the generation lifecycle.
View docs section ↗{ your next idea }Choose the right endpoint and verify current models and parameters.
View docs section ↗