Moduck

OpenAI: GPT Image 2.5 Flare

Image model for prompt-driven generation, editing, and visual design workflows

Model lab
OpenAI
Model family
gpt-image
Modalitiestext, image → image
Context window—
Maximum output—
InputUSD 4 / 1M tokens
OutputUSD 24 / 1M tokens

Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to moduck/openai/gpt-image-2-5-flare.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "moduck/openai/gpt-image-2-5-flare"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

GPT Image 2.5 Flare API Pricing

TypePrice information
InputUSD 4 / 1M tokens
OutputUSD 24 / 1M tokens
Cached inputUSD 1 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Image throughput6.2 images/minCurrent
Queue wait0.7 sCurrent
Completion time12.2 sCurrent
Image throughput
Current6.2 images/min
Window average5.9 images/min
Queue wait
Current0.7 s
Window average0.7 s
Completion time
Current12.2 s
Window average12.0 s
Tail completion time (P99)
Current26.2 s
Window average27.4 s
Retry rate
Current0.8%
Window average1.0%
Error rate
Current0.0%
Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded
Availability100%Requests actually served
Error rate0%Share of failed requests
Served requests, hour by hour
24 hours agoNow

GPT Image 2.5 Flare Compare models

ModelInput priceOutput priceContext windowCapabilities
GPT Image 2.5 FlareThis pageUSD 4 / 1M tokensUSD 24 / 1M tokens—Image output
GPT Image 2.5 SunburstUSD 4 / 1M tokensUSD 24 / 1M tokens—Image output
GPT-Image-2USD 4 / 1M tokensUSD 24 / 1M tokens—Image output
GPT-Image-1USD 4 / 1M tokensUSD 32 / 1M tokens—Image output
GPT-Image-1.5USD 4 / 1M tokensUSD 25.6 / 1M tokens—Image output

Model specifications

Input
text, image
Output
image
Context window
—
Maximum output
—
Release date
2026-09-08
Attachments
Yes
Reasoning
No
Tool calling
No
Temperature setting
No
Open weights
No

Frequently asked questions

What is GPT Image 2.5 Flare for?

Image model for prompt-driven generation, editing, and visual design workflows

What inputs and outputs does GPT Image 2.5 Flare support?

Recorded inputs: text, images; outputs: images.

How is GPT Image 2.5 Flare priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 4 / 1M tokens; Output USD 24 / 1M tokens. See the pricing table for all units, variants, and conditions.

What model parameter does the Quickstart use?

The example uses moduck/openai/gpt-image-2-5-flare. This is a cataloged Moduck public or reserved ID; check your account’s available models before calling it.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.