models

GPT Image 1.5

Markdown · JSON

GPT Image 1.5

GPT Image 1.5 creates images from text prompts with an emphasis on following detailed instructions. Provides three frame shapes, several quality levels and output formats.

About the model

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

An image from a detailed prompt

GPT Image 1.5 is an OpenAI model for creating images from text descriptions. The manufacturer highlights instruction following and processing of detailed prompts: scene content, composition, object appearance and the required style can be specified. The image method's result is a finished image.

In Ailoot, this card concerns generation with text input. OpenAI also describes the model's work with source images, editing and changes to individual regions. These capabilities require separate visual-input support and are not included in the text-based generation method specified here.

In a separately provided OpenAI editing operation, a mask serves as guidance: an exact match between the result and its contours is not guaranteed. This operation needs support for supplying a source image; the current Ailoot card still concerns generation with text input.

Three frame shapes and quality settings

Square 1024x1024, landscape 1536x1024 and portrait 1024x1536 sizes are provided, along with automatic selection. Arbitrary sizes from other models should not be applied to this version.

Quality levels are low, medium, high and auto. Quality selection affects processing volume and result detail. Quality and size are different settings: frame orientation determines the compositional space, while quality determines how it is generated. xhigh and max are not declared for GPT Image 1.5.

File format and background

The result is PNG by default; JPEG and WebP are also provided. Compression can be set for JPEG and WebP. This output-file setting differs from generation quality.

The manufacturer provides transparent and opaque backgrounds, and automatic selection. Transparency requires PNG or WebP: JPEG does not retain an alpha channel. A transparent background is useful when the image needs to be used as a separate object in a later composition. Support for particular parameters needs to be considered alongside the selected method.

Text and composition need checking

The model can include text in an image and assemble a scene from several elements, but precise placement of text and objects is not guaranteed. Consistency of a character's appearance or design across separate generations also needs checking.

A complex image may take longer to generate than a simple one; according to OpenAI, some complex tasks may take up to two minutes. Both a complete source description and examination of the finished image matter: text readability, detail placement and conformity to the specified scene are assessed from the file itself.

Ailoot · Images POST /v1/images/generations gpt-image-1.5

gpt-image-1.5

OpenAI /gpt-image-1.5

Overview

GPT Image 1.5 creates images from text prompts with an emphasis on following detailed instructions. Provides three frame shapes, several quality levels and output formats.

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-1.5
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
Text output
$0.01 / 1K
Image input
$0.008 / 1K tokens
Image output
$0.032 / 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-1.5", "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-1.5', '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-1.5", "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-1.5
Ailoot Ultra gpt-image-1.5

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-1.5, gpt-image-1.5

Ailoot Ultra · Images POST /v1/images/generations gpt-image-1.5

gpt-image-1.5

OpenAI /gpt-image-1.5

Overview

GPT Image 1.5 creates images from text prompts with an emphasis on following detailed instructions. Provides three frame shapes, several quality levels and output formats.

Accepted inputs
Text
Results
Images

Available in Ailoot · inputs & methods

Ailoot Ultra · Images POST /v1/images/generations
Input types
text
Output types
image
FieldTypeRequirementValues & limitsDefault
FieldmodelTypestringRequirementRequiredValues & limits
gpt-image-1.5
Default—
FieldpromptTypestringRequirementRequiredValues & limits
Maximum length: 32,000
Default—
FieldsizeTypestringRequirementOptionalValues & limits
1024x1024, 1536x1024, 1024x1536, auto
Defaultauto
FieldbackgroundTypestringRequirementOptionalValues & limits
transparent, opaque, auto
Defaultauto
FieldmoderationTypestringRequirementOptionalValues & limits
low, auto
Conditions: Use auto for standard content moderation.
Default—
FieldnTypeintegerRequirementOptionalValues & limits
Minimum: 1
Maximum: 10
Default1
FieldqualityTypestringRequirementOptionalValues & limits
auto, high, medium, low
Defaultauto
Fieldoutput_compressionTypeintegerRequirementOptionalValues & limits
Minimum: 0
Maximum: 100
Conditions: Applies to JPEG and WebP output; send the documented integer value.
Default100
Fieldoutput_formatTypestringRequirementOptionalValues & limits
webp, png, jpeg
Defaultpng
FieldstreamTypebooleanRequirementOptionalValues & limits
false
Conditions: This route returns one completed JSON response.
Defaultfalse
Method parameters and lifecycle
ParameterContract
Parametercontent_typeContractapplication/json
ParameterrequiredContractprompt, model
Parametermaterial_typesContracttext
ParameteroptionalContractsize, background, moderation, n, quality, output_compression, output_format, stream
ParameterconditionsContractA transparent background requires PNG or WebP., Output compression applies to JPEG or WebP., The selected method generates from text. Editing and streaming controls described for the manufacturer are separate capabilities.

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}

Pricing

How the final charge is calculated

The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.

Tariff references do not add request options. Supported parameters are listed for the selected method.

Fast mode
Not specified When fast mode is selected
Flex mode
Not specified When flex mode is selected
Maximum reasoning effort
Not specified When maximum reasoning effort uses the default adjustment

Estimated rates for comparison

Prices by configuration

Match each charge to the conditions shown. Use one rate for each set of alternative configurations.

ConfigurationRate scheduleForecast quantityCharge
ConfigurationBase token ratesRate scheduleBase rateForecast quantity—Charge
Input · Input tokens · Estimate for comparison only — / 1K tokens
Output · Output tokens · Estimate for comparison only — / 1K tokens
Input · Cache read · Estimate for comparison only — / 1K tokens
Input · Cache write · Estimate for comparison only — / 1K tokens
Input · Cache write, 1 hour · Estimate for comparison only — / 1K tokens
ConfigurationEstimated generation costRate schedule—Forecast quantityone generation estimateCharge
Output · Estimated generation cost · Estimate for comparison only $0.32768 estimate before generation

This estimate is not an additional charge or a fixed rate for the completed generation.

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 Ultra · Images

curl
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
export AILOOT_API_KEY
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p={'prompt': 'A cute baby sea otter', 'model': 'gpt-image-1.5', 'size': '1024x1024', 'n': 1, 'background': 'auto', 'moderation': 'auto', 'output_format': 'png'}

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

Receive and save results

Ailoot Ultra · 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}
Other content reads
Read existing owned assets
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/media/assets \
  -H "Authorization: Bearer $AILOOT_API_KEY" -o owned-assets.json
# Preserve every returned asset and follow its exact signed content URL. Do not construct a signed token.
Keep all completed results

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

Retain the complete response and headers, every actual output, original returned identifiers and all usage fields. Recover the original operation without submitting creation again.

If the original response needs checking

Keep the returned X-Client-Request-ID for reconciliation. Read only actual returned task_id/asset_id values or the owned media library; never build a task URL from the operation ID and never resubmit creation.

Response fields
FieldType
FieldcreatedType
Fielddata[].urlType
Fielddata[].b64_jsonType
FieldusageType

Aliases

Model aliases

Ailoot gpt-image-1.5
Ailoot Ultra gpt-image-1.5

Method path aliases

Use the method paths shown above.

Related caller IDs

gpt-image-1.5, gpt-image-1.5

FAQ · GPT Image 1.5
What inputs and results are available?

POST /v1/images/generations · gpt-image-1.5: text → image

POST /v1/images/generations · gpt-image-1.5: text → image

Which fields does the request use?

POST /v1/images/generations · gpt-image-1.5: model, prompt, n, response_format, stream

POST /v1/images/generations · gpt-image-1.5: model, prompt, size, background, moderation, n, quality, output_compression, output_format, stream

What limits apply?

POST /v1/images/generations · gpt-image-1.5: n.minimum: 1

POST /v1/images/generations · gpt-image-1.5: prompt.maximum_length: 32000; n.minimum: 1; n.maximum: 10; output_compression.minimum: 0; output_compression.maximum: 100

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