models

GPT Image 2.5 Sunburst

Markdown · JSON

GPT Image 2.5 Sunburst

GPT Image 2.5 Sunburst creates images from text prompts. Supports custom sizes, extended quality levels and transparent backgrounds; the manufacturer also highlights editing fidelity.

About the model

This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.

Generation and work with images

GPT Image 2.5 Sunburst is an OpenAI model for creating images. The manufacturer pays particular attention to fidelity when editing source material. The model supports text prompts and visual source material in the operations provided for that purpose.

The current Ailoot card presents image creation from text. The scene, composition, style and details of a future result can be specified. OpenAI-described reference workflows, editing and changes to a masked region require separate image-input support; text-to-image generation does not confirm that support.

Quality and frame shape

low, medium, high, xhigh, max and auto are available. Quality selection controls how an image is formed. It differs from compositional dimensions and compression of the received file.

Size can be square, landscape, portrait, selected automatically or specified manually. For custom sizes, each dimension is a multiple of 16 pixels and does not exceed 3840 pixels. Area must lie between 655,360 and 8,294,400 pixels, and the ratio of the longer dimension to the shorter must not exceed 3:1. All conditions apply simultaneously.

The manufacturer designates resolutions above 2560x1440 as experimental. A large frame allows suitable compositional space to be selected, but does not remove the need to check text and object placement.

Output formats and background

PNG is the default; JPEG and WebP are also provided. Compression can be adjusted in JPEG and WebP. A transparent background requires PNG or WebP because JPEG does not retain an alpha channel. Opaque backgrounds and automatic selection are provided alongside transparency.

Size, quality, format and background address different aspects of the result. Image style is specified through a text description alongside scene content. Support for particular settings needs to be considered separately from the manufacturer's general capabilities.

Edit accuracy and image checking

According to OpenAI, a complex prompt may take up to two minutes to process. This describes generation with the manufacturer, not a guarantee of total result-delivery time in a particular application.

In a separately supported editing operation, a mask guides changes to the selected region. It does not guarantee strict conformity of the result to the boundary, so a promise of a precise local edit would be too strong. This mode requires the appropriate way of supplying source material.

During generation, the model may also place text or details incorrectly or change a character's appearance between individual images. Checking text, composition and consistency belongs to inspection of the finished file. Even a detailed prompt does not make these properties guaranteed.

Ailoot · Images POST /v1/images/generations gpt-image-2.5-sunburst

gpt-image-2.5-sunburst

OpenAI /gpt-image-2.5-sunburst
Model ID
  • gpt-image-2.5-sunburst
  • gpt-image
  • gpt-image-2.5
  • gpt-image-2.5-latest
  • gpt-image-latest

Overview

GPT Image 2.5 Sunburst creates images from text prompts. Supports custom sizes, extended quality levels and transparent backgrounds; the manufacturer also highlights editing fidelity.

Accepted inputs
Text
Results
Images

Available in Ailoot · inputs & methods

Ailoot · Images POST /v1/images/generations
Input types
text
Output types
image
Output format
Image file
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
gpt-image-2.5-sunburst
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Minimum length: 1
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default1
Fieldresponse_formatTypestringRequirementOptionalValues & limits
url, b64_json
Default—
FieldstreamTypebooleanRequirementOptionalValues & limitsDefaultfalse
FieldsizeTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldqualityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldbackgroundTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_formatTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_compressionTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
FieldmoderationTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldinput_fidelityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldstyleTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldpartial_imagesTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
Input material combinations

Text to image · Required: prompt

Method parameters and lifecycle
ParameterContract
Parametermaterial_typesContracttext
ParameterrequiredContractmodel, prompt
Parameteroptional_controlsContractnull
Parametercontent_typeContractapplication/json

Lifecycle: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · actual returned task_id or media library record

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Method shapes and IDs are exact; supplier capability is separate from admission.

Pricing

Ailoot method rates

Ailoot ImagesPOST /v1/images/generations
Text input
$0.005 / 1K
Image input
$0.008 / 1K tokens
Image output
$0.03 / 1K tokens

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot · Images

curlPython SDKNode.js SDK
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-image-2.5-sunburst", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'gpt-image-2.5-sunburst', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "gpt-image-2.5-sunburst", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");

Receive and save results

Ailoot · Images

Download each returned image or save its Base64 contents

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.

If the original response needs checking

If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id.

Response fields
FieldType
FieldcreatedTypeinteger
Fielddata[].urlTypestring
Fielddata[].b64_jsonTypebase64 string
FieldusageTypeobject
Errors and next steps
ResponseConditionNext step
Response400 · invalid_request_errorConditionInvalid required fields, material representation or parameter valueNext stepCorrect the indicated fields before a new creation request.
Responseserver_errorConditionThe returned response says the operation or result requires a checkNext stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.

Aliases

Model aliases

Ailoot gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Ailoot · Images POST /v1/images/generations gpt-image

gpt-image

OpenAI /gpt-image
Model ID
  • gpt-image-2.5-sunburst
  • gpt-image
  • gpt-image-2.5
  • gpt-image-2.5-latest
  • gpt-image-latest

Overview

GPT Image 2.5 Sunburst creates images from text prompts. Supports custom sizes, extended quality levels and transparent backgrounds; the manufacturer also highlights editing fidelity.

Accepted inputs
Text
Results
Images

Available in Ailoot · inputs & methods

Ailoot · Images POST /v1/images/generations
Input types
text
Output types
image
Output format
Image file
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
gpt-image
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Minimum length: 1
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default1
Fieldresponse_formatTypestringRequirementOptionalValues & limits
url, b64_json
Default—
FieldstreamTypebooleanRequirementOptionalValues & limitsDefaultfalse
FieldsizeTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldqualityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldbackgroundTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_formatTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_compressionTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
FieldmoderationTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldinput_fidelityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldstyleTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldpartial_imagesTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
Input material combinations

Text to image · Required: prompt

Method parameters and lifecycle
ParameterContract
Parametermaterial_typesContracttext
ParameterrequiredContractmodel, prompt
Parameteroptional_controlsContractnull
Parametercontent_typeContractapplication/json

Lifecycle: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · actual returned task_id or media library record

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Method shapes and IDs are exact; supplier capability is separate from admission.

Pricing

Ailoot method rates

Ailoot ImagesPOST /v1/images/generations
Text input
$0.005 / 1K
Image input
$0.008 / 1K tokens
Image output
$0.03 / 1K tokens

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot · Images

curlPython SDKNode.js SDK
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-image", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'gpt-image', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "gpt-image", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");

Receive and save results

Ailoot · Images

Download each returned image or save its Base64 contents

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.

If the original response needs checking

If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id.

Response fields
FieldType
FieldcreatedTypeinteger
Fielddata[].urlTypestring
Fielddata[].b64_jsonTypebase64 string
FieldusageTypeobject
Errors and next steps
ResponseConditionNext step
Response400 · invalid_request_errorConditionInvalid required fields, material representation or parameter valueNext stepCorrect the indicated fields before a new creation request.
Responseserver_errorConditionThe returned response says the operation or result requires a checkNext stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.

Aliases

Model aliases

Ailoot gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Ailoot · Images POST /v1/images/generations gpt-image-2.5

gpt-image-2.5

OpenAI /gpt-image-2.5
Model ID
  • gpt-image-2.5-sunburst
  • gpt-image
  • gpt-image-2.5
  • gpt-image-2.5-latest
  • gpt-image-latest

Overview

GPT Image 2.5 Sunburst creates images from text prompts. Supports custom sizes, extended quality levels and transparent backgrounds; the manufacturer also highlights editing fidelity.

Accepted inputs
Text
Results
Images

Available in Ailoot · inputs & methods

Ailoot · Images POST /v1/images/generations
Input types
text
Output types
image
Output format
Image file
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
gpt-image-2.5
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Minimum length: 1
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default1
Fieldresponse_formatTypestringRequirementOptionalValues & limits
url, b64_json
Default—
FieldstreamTypebooleanRequirementOptionalValues & limitsDefaultfalse
FieldsizeTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldqualityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldbackgroundTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_formatTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_compressionTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
FieldmoderationTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldinput_fidelityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldstyleTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldpartial_imagesTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
Input material combinations

Text to image · Required: prompt

Method parameters and lifecycle
ParameterContract
Parametermaterial_typesContracttext
ParameterrequiredContractmodel, prompt
Parameteroptional_controlsContractnull
Parametercontent_typeContractapplication/json

Lifecycle: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · actual returned task_id or media library record

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Method shapes and IDs are exact; supplier capability is separate from admission.

Pricing

Ailoot method rates

Ailoot ImagesPOST /v1/images/generations
Text input
$0.005 / 1K
Image input
$0.008 / 1K tokens
Image output
$0.03 / 1K tokens

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot · Images

curlPython SDKNode.js SDK
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-image-2.5", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'gpt-image-2.5', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "gpt-image-2.5", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");

Receive and save results

Ailoot · Images

Download each returned image or save its Base64 contents

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.

If the original response needs checking

If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id.

Response fields
FieldType
FieldcreatedTypeinteger
Fielddata[].urlTypestring
Fielddata[].b64_jsonTypebase64 string
FieldusageTypeobject
Errors and next steps
ResponseConditionNext step
Response400 · invalid_request_errorConditionInvalid required fields, material representation or parameter valueNext stepCorrect the indicated fields before a new creation request.
Responseserver_errorConditionThe returned response says the operation or result requires a checkNext stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.

Aliases

Model aliases

Ailoot gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Ailoot · Images POST /v1/images/generations gpt-image-2.5-latest

gpt-image-2.5-latest

OpenAI /gpt-image-2.5-latest
Model ID
  • gpt-image-2.5-sunburst
  • gpt-image
  • gpt-image-2.5
  • gpt-image-2.5-latest
  • gpt-image-latest

Overview

GPT Image 2.5 Sunburst creates images from text prompts. Supports custom sizes, extended quality levels and transparent backgrounds; the manufacturer also highlights editing fidelity.

Accepted inputs
Text
Results
Images

Available in Ailoot · inputs & methods

Ailoot · Images POST /v1/images/generations
Input types
text
Output types
image
Output format
Image file
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
gpt-image-2.5-latest
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Minimum length: 1
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default1
Fieldresponse_formatTypestringRequirementOptionalValues & limits
url, b64_json
Default—
FieldstreamTypebooleanRequirementOptionalValues & limitsDefaultfalse
FieldsizeTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldqualityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldbackgroundTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_formatTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_compressionTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
FieldmoderationTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldinput_fidelityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldstyleTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldpartial_imagesTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
Input material combinations

Text to image · Required: prompt

Method parameters and lifecycle
ParameterContract
Parametermaterial_typesContracttext
ParameterrequiredContractmodel, prompt
Parameteroptional_controlsContractnull
Parametercontent_typeContractapplication/json

Lifecycle: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · actual returned task_id or media library record

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Method shapes and IDs are exact; supplier capability is separate from admission.

Pricing

Ailoot method rates

Ailoot ImagesPOST /v1/images/generations
Text input
$0.005 / 1K
Image input
$0.008 / 1K tokens
Image output
$0.03 / 1K tokens

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot · Images

curlPython SDKNode.js SDK
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-image-2.5-latest", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'gpt-image-2.5-latest', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "gpt-image-2.5-latest", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");

Receive and save results

Ailoot · Images

Download each returned image or save its Base64 contents

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.

If the original response needs checking

If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id.

Response fields
FieldType
FieldcreatedTypeinteger
Fielddata[].urlTypestring
Fielddata[].b64_jsonTypebase64 string
FieldusageTypeobject
Errors and next steps
ResponseConditionNext step
Response400 · invalid_request_errorConditionInvalid required fields, material representation or parameter valueNext stepCorrect the indicated fields before a new creation request.
Responseserver_errorConditionThe returned response says the operation or result requires a checkNext stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.

Aliases

Model aliases

Ailoot gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Ailoot · Images POST /v1/images/generations gpt-image-latest

gpt-image-latest

OpenAI /gpt-image-latest
Model ID
  • gpt-image-2.5-sunburst
  • gpt-image
  • gpt-image-2.5
  • gpt-image-2.5-latest
  • gpt-image-latest

Overview

GPT Image 2.5 Sunburst creates images from text prompts. Supports custom sizes, extended quality levels and transparent backgrounds; the manufacturer also highlights editing fidelity.

Accepted inputs
Text
Results
Images

Available in Ailoot · inputs & methods

Ailoot · Images POST /v1/images/generations
Input types
text
Output types
image
Output format
Image file
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
gpt-image-latest
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Minimum length: 1
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Default1
Fieldresponse_formatTypestringRequirementOptionalValues & limits
url, b64_json
Default—
FieldstreamTypebooleanRequirementOptionalValues & limitsDefaultfalse
FieldsizeTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldqualityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldbackgroundTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_formatTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldoutput_compressionTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
FieldmoderationTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldinput_fidelityTypestringRequirementOptionalValues & limits
Model-specific
Default—
FieldstyleTypestringRequirementOptionalValues & limits
Model-specific
Default—
Fieldpartial_imagesTypeintegerRequirementOptionalValues & limits
Model-specific
Default—
Input material combinations

Text to image · Required: prompt

Method parameters and lifecycle
ParameterContract
Parametermaterial_typesContracttext
ParameterrequiredContractmodel, prompt
Parameteroptional_controlsContractnull
Parametercontent_typeContractapplication/json

Lifecycle: synchronous_result_then_owned_library

GET /v1/media/tasks/{task_id} · actual returned task_id or media library record

GET /v1/media/assets/{asset_id}/content

GET /v1/media/assets

GET /v1/media/assets/{asset_id}

Method shapes and IDs are exact; supplier capability is separate from admission.

Pricing

Ailoot method rates

Ailoot ImagesPOST /v1/images/generations
Text input
$0.005 / 1K
Image input
$0.008 / 1K tokens
Image output
$0.03 / 1K tokens

Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. How reservation and settlement work →

Example requests

Ailoot · Images

curlPython SDKNode.js SDK
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
export AILOOT_API_KEY
: "${AILOOT_PROMPT_FILE:?Set your actual UTF-8 image brief}"
export AILOOT_PROMPT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gpt-image-latest", "prompt": ""}')
f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 brief")
p['prompt']=f.read_text(encoding="utf-8")
if not p['prompt'].strip():raise SystemExit("Brief must contain text")
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")
save_images(json.loads(Path("result.json").read_text())["data"])
PY_RESULT
from openai import OpenAI
import base64, json, os, subprocess
from pathlib import Path
from urllib.parse import urlsplit, urljoin

def save_images(items):
    if not items: raise SystemExit("No completed images; retain the full response")
    for index, item in enumerate(items):
        encoded=item.get("b64_json")
        uri=item.get("url", "")
        if not encoded and uri.startswith("data:image/"):
            header, separator, encoded=uri.partition(",")
            if not separator or ";base64" not in header: raise SystemExit("Unsupported image data URI")
        if encoded:
            raw=base64.b64decode(encoded,validate=True)
        elif uri:
            uri=urljoin("https://api.ailoot.ai",uri)
            parsed=urlsplit(uri)
            if parsed.scheme!="https" or not parsed.netloc or parsed.username or parsed.password:
                raise SystemExit("Invalid returned image URL")
            owned=parsed.netloc=="api.ailoot.ai" and parsed.path.startswith("/v1/media/assets/") and parsed.path.endswith("/content")
            args=["curl","--fail-with-body","--silent","--show-error",uri]
            if owned: args += ["-H","Authorization: Bearer "+os.environ["AILOOT_API_KEY"]]
            temporary=Path(f"image-{index}.bin")
            subprocess.run(args+["-o",str(temporary)],check=True)
            raw=temporary.read_bytes()
            temporary.unlink()
        else: raise SystemExit("Image has neither bytes nor URL")
        if not raw: raise SystemExit("Empty image result")
        ext="png" if raw.startswith(b"\x89PNG") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else "svg" if raw.lstrip().startswith((b"<svg",b"<?xml")) else "bin"
        Path(f"image-{index}.{ext}").write_bytes(raw)
    print("Every returned image saved; complete response metadata retained")

f=Path(os.environ["AILOOT_PROMPT_FILE"])
if not f.is_file():raise SystemExit("Set your actual UTF-8 image brief file")
request={'model': 'gpt-image-latest', 'prompt': ''}
request["prompt"]=f.read_text(encoding="utf-8")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.images.generate(**request)
Path("sdk-result.txt").write_text(str(result),encoding="utf-8")
save_images([{"b64_json":getattr(item,"b64_json",None),"url":getattr(item,"url",None)} for item in result.data])
import OpenAI from "openai";
import { readFileSync, writeFileSync } from "node:fs";
const key=process.env.AILOOT_API_KEY;
if(!key) throw new Error("Set your actual Ailoot API key");
const client=new OpenAI({baseURL:"https://api.ailoot.ai/v1",apiKey:key,maxRetries:0});
const request={"model": "gpt-image-latest", "prompt": ""};
if(!process.env.AILOOT_PROMPT_FILE)throw new Error("Set your actual UTF-8 image brief file");
request.prompt=readFileSync(process.env.AILOOT_PROMPT_FILE,"utf8");
const result=await client.images.generate(request);
writeFileSync("sdk-result.json",JSON.stringify(result,null,2));
if(!result.data?.length) throw new Error("No completed images");
for(let index=0;index<result.data.length;index++) {
  const item=result.data[index];let encoded=item.b64_json,uri=item.url||"",raw;
  if(!encoded && uri.startsWith("data:image/")) {
    const comma=uri.indexOf(",");if(comma<0 || !uri.slice(0,comma).includes(";base64")) throw new Error("Unsupported image data URI");
    encoded=uri.slice(comma+1);
  }
  if(encoded) {
    if(encoded.length%4!==0 || !/^[A-Za-z0-9+/]*={0,2}$/.test(encoded)) throw new Error("Invalid Base64");
    raw=Buffer.from(encoded,"base64");
  } else if(uri) {
    const u=new URL(uri,"https://api.ailoot.ai");
    if(u.protocol!=="https:" || u.username || u.password) throw new Error("Invalid returned URL");
    const owned=u.origin==="https://api.ailoot.ai" && u.pathname.startsWith("/v1/media/assets/") && u.pathname.endsWith("/content");
    const response=await fetch(u,{headers:owned?{Authorization:"Bearer "+key}:{},redirect:"manual"});
    if(!response.ok) throw new Error("Image content download failed: "+response.status);
    raw=Buffer.from(await response.arrayBuffer());
  } else throw new Error("Image has neither bytes nor URL");
  if(!raw.length) throw new Error("Empty image result");
  const ext=raw.subarray(0,4).equals(Buffer.from([137,80,78,71]))?"png":raw[0]===255&&raw[1]===216?"jpg":raw.toString("ascii",0,4)==="RIFF"&&raw.toString("ascii",8,12)==="WEBP"?"webp":raw.toString("utf8").trimStart().startsWith("<svg")||raw.toString("utf8").trimStart().startsWith("<?xml")?"svg":"bin";
  writeFileSync(`image-${index}.${ext}`,raw);
}
console.log("Every returned image saved; sdk-result.json retains complete metadata");

Receive and save results

Ailoot · Images

Download each returned image or save its Base64 contents

  • GET /v1/media/tasks/{task_id}
  • GET /v1/media/assets/{asset_id}/content
  • GET /v1/media/assets
  • GET /v1/media/assets/{asset_id}
Keep all completed results

Save every completed image; retrieve each returned URL or decode its Base64 contents.

Save every data item. Decode each b64_json or fetch every returned signed URL. Select a filename extension from the actual MIME/bytes.

If the original response needs checking

If an image generation or edit result requires a check, keep the original operation_id/X-Client-Request-ID and returned result information. Recover existing owned results through the media library using actual task_id or asset_id values. Do not resubmit the generation/edit request or construct a polling URL from operation_id.

Response fields
FieldType
FieldcreatedTypeinteger
Fielddata[].urlTypestring
Fielddata[].b64_jsonTypebase64 string
FieldusageTypeobject
Errors and next steps
ResponseConditionNext step
Response400 · invalid_request_errorConditionInvalid required fields, material representation or parameter valueNext stepCorrect the indicated fields before a new creation request.
Responseserver_errorConditionThe returned response says the operation or result requires a checkNext stepKeep the original returned operation/task ID, request headers and response; continue supported reads of that original operation. Do not resubmit the creation request.

Aliases

Model aliases

Ailoot gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-2.5-sunburst, gpt-image, gpt-image-2.5, gpt-image-2.5-latest, gpt-image-latest

FAQ · GPT Image 2.5 Sunburst
What inputs and results are available?

POST /v1/images/generations · gpt-image-2.5-sunburst: text → image

POST /v1/images/generations · gpt-image: text → image

POST /v1/images/generations · gpt-image-2.5: text → image

POST /v1/images/generations · gpt-image-2.5-latest: text → image

POST /v1/images/generations · gpt-image-latest: text → image

Which fields does the request use?

POST /v1/images/generations · gpt-image-2.5-sunburst: model, prompt, n, response_format, stream

POST /v1/images/generations · gpt-image: model, prompt, n, response_format, stream

POST /v1/images/generations · gpt-image-2.5: model, prompt, n, response_format, stream

POST /v1/images/generations · gpt-image-2.5-latest: model, prompt, n, response_format, stream

POST /v1/images/generations · gpt-image-latest: model, prompt, n, response_format, stream

What limits apply?

POST /v1/images/generations · gpt-image-2.5-sunburst: n.minimum: 1

POST /v1/images/generations · gpt-image: n.minimum: 1

POST /v1/images/generations · gpt-image-2.5: n.minimum: 1

POST /v1/images/generations · gpt-image-2.5-latest: n.minimum: 1

POST /v1/images/generations · gpt-image-latest: n.minimum: 1

More details

Connect Ailoot to Claude Code, OpenCode, Hermes or your own app.

The company and its project portfolio

The company and its project portfolio: millions of customers; monthly sales in the billions.

Buy tokens at a discount.

Subscription discounts for regular use. Promo codes offer up to 50% off token purchases.

Subscription
Choose a discounted plan for your regular requests.
Promo code: up to 50% off
Enter your code at checkout. The price updates to reflect the current promotion.
Spending in your history
The model, tokens and amount are recorded for each request.

Choose a subscription · View model prices

Connect the API to a product you sell.

Use Ailoot in SaaS, apps and bots under its official service offer and licence agreement. Request a reseller licence for resale.

Commercial application
Add text, image, video and audio generation to paid features in your service.
Reseller licence
Send a description of your project and how you provide access. Request written terms for use and resale.
Documents on the website
The service offer, licence agreement and data processing policy are available before you connect.

Request a reseller licence · Service offer and licence agreement