OpenAI: GPT Image 2.5 Flare

openai/gpt-image-2.5-flare

GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday...

Modalities: text+image->image
In / out price: $8 / $8per 1M
Context: 400K
Released: Sep 9, 2026
Knowledge cutoff: —

Providers

Every request enters through InfAPI. One key calls every model in the catalog. Upstream groups, ratios, and tiers are not shown.

Endpoint	Input	Output	Context	Status
InfAPI	$8	$8	400K	Not listed

Input: Text, Image
Output: Image
Tokenizer: GPT
Max output: 360,000
Endpoint: —

Pricing

Listed price for this model on this gateway. Token prices are per 1M tokens.

Item	Price	Unit
Inputprompt	$8	per 1M tokens
Outputcompletion	$8	per 1M tokens
Image outputimage_output	$30	per 1M tokens
Web searchweb_search	$0.01	per search
Cache readinput_cache_read	$2	per 1M tokens

API

Send a prompt to the image endpoint. The response includes the generated image as base64.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use openai/gpt-image-2.5-flare

Python

import base64
import requests

response = requests.post(
    "https://infapi.cc/v1/images",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "openai/gpt-image-2.5-flare",
        "prompt": "A serene mountain landscape at sunset with dramatic clouds",
    },
)
response.raise_for_status()
for index, image in enumerate(response.json().get("data", [])):
    raw = base64.b64decode(image["b64_json"])
    with open(f"output_{index}.png", "wb") as handle:
        handle.write(raw)
    print(f"Saved image {index + 1}")

Endpoint

POST https://infapi.cc/v1/images

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

result = client.images.generate(
    model="openai/gpt-image-2.5-flare",
    prompt="A serene mountain landscape at sunset with dramatic clouds",
)
for index, image in enumerate(result.data):
    raw = base64.b64decode(image.b64_json)
    open(f"output_{index}.png", "wb").write(raw)

Supported parameters

max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
response_format
Response format
For example json_object or json_schema, to constrain the shape.
seed
Seed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
structured_outputs
Structured outputs
Generate a parseable structure that follows a JSON Schema.

FAQ

What is this model?

GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is sui…

How much does it cost?

$8 / $8

What inputs and outputs does it support?

text+image->image

When was it released?

Sep 9, 2026

Endpoint

Input

Output

Context

Status

InfAPI

400K

Not listed

Item

Price

Unit

Inputprompt

per 1M tokens

Outputcompletion

per 1M tokens

Image outputimage_output

$30

per 1M tokens

Web searchweb_search

$0.01

per search

Cache readinput_cache_read

per 1M tokens

API

Send a prompt to the image endpoint. The response includes the generated image as base64.

Get your API key

Create a key on the keys page and set it as an environment variable: Keys

shell

export INFAPI_API_KEY=sk-...

Make your first request

Use openai/gpt-image-2.5-flare

Python

import base64
import requests

response = requests.post(
    "https://infapi.cc/v1/images",
    headers={
        "Authorization": "Bearer $INFAPI_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "openai/gpt-image-2.5-flare",
        "prompt": "A serene mountain landscape at sunset with dramatic clouds",
    },
)
response.raise_for_status()
for index, image in enumerate(response.json().get("data", [])):
    raw = base64.b64decode(image["b64_json"])
    with open(f"output_{index}.png", "wb") as handle:
        handle.write(raw)
    print(f"Saved image {index + 1}")

Endpoint

POST https://infapi.cc/v1/images

Authorization: Bearer $INFAPI_API_KEY

Using third-party SDKs

Point the OpenAI SDK at https://infapi.cc/v1 with $INFAPI_API_KEY. The HTTP samples above are the request shape this gateway accepts.

Python (OpenAI)

import base64
from openai import OpenAI

client = OpenAI(
    base_url="https://infapi.cc/v1",
    api_key="$INFAPI_API_KEY",
)

result = client.images.generate(
    model="openai/gpt-image-2.5-flare",
    prompt="A serene mountain landscape at sunset with dramatic clouds",
)
for index, image in enumerate(result.data):
    raw = base64.b64decode(image.b64_json)
    open(f"output_{index}.png", "wb").write(raw)

Supported parameters

max_tokens
Max tokens
Upper bound on generated tokens. Output stops at the limit.
response_format
Response format
For example json_object or json_schema, to constrain the shape.
seed
Seed
A fixed seed helps reproduce sampling. It does not guarantee byte-identical output.
structured_outputs
Structured outputs
Generate a parseable structure that follows a JSON Schema.