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OpenAI: GPT-5 Image Mini: AI model

GPT-5 Image Mini is an OpenAI image-generation model that turns text and reference images into new visuals. Served asynchronously from inside Iran through Hormouz.

Context window:
400,000 tokens
Input:
$2.5/1M tokens
Output:
$2/1M tokens
Type:
text, image
  • Vision
  • Streaming
  • Long context

Thinking levels: Always thinks

GPT-5 Image Mini is a compact multimodal model pairing GPT-5 Mini language skills with efficient image generation. GPT-5 Image Mini is a lighter, more efficient image-generation model for text-and-image input, aimed at cost-sensitive visual workloads. It supports a context window of up to 400K tokens, with training data through Sep 2024.

GPT-5 Image Mini accepts text and image input and returns generated images. It is served through Hormouz behind an asynchronous predictions API. Submit a request, then poll until it is ready. Point your base URL at Hormouz and use a Hormouz key to call it from your existing code.

Pricing is usage-based: $2.5 per million input tokens and $2 per million output tokens. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by GPT-5 Mini, with GPT Image 1 Mini for efficient image generation. This natively multimodal model features superior instruction following, text...

Quickstart

# The image comes back as a data: URI on message.images, not as text.
URL=$(curl -s https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5-image-mini",
    "modalities": ["image", "text"],
    "messages": [{"role": "user", "content": "A red apple on a wooden table"}]
  }' | jq -r '.choices[0].message.images[0].image_url.url')

# Take the extension from the URI itself — this model may answer png or jpeg.
EXT=$(printf '%s' "$URL" | sed -n 's|^data:image/\([a-z]*\);.*|\1|p')
printf '%s' "$URL" | sed 's/^data:[^,]*,//' | base64 -d > "output.${EXT:-png}"

Specs

VendorOpenAI
TypeText, Image
Context window400,000 tokens
Pricing$2.50/M in · $2.00/M out
APIChat Completions
CapabilitiesStreaming · Vision
Graphic Design
Top 81%
1,168Elo
Win rate: 47.7%Avg time: 45.3s
Image
Top 81%
1,186Elo
Win rate: 51%Avg time: 42.4s
Logo
Top 56%
1,210Elo
Win rate: 51.4%Avg time: 38.3s

Metrics sourced from Design Arena

Code example

cURL
# The image comes back as a data: URI on message.images, not as text.
URL=$(curl -s https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-5-image-mini",
    "modalities": ["image", "text"],
    "messages": [{"role": "user", "content": "A red apple on a wooden table"}]
  }' | jq -r '.choices[0].message.images[0].image_url.url')

# Take the extension from the URI itself — this model may answer png or jpeg.
EXT=$(printf '%s' "$URL" | sed -n 's|^data:image/\([a-z]*\);.*|\1|p')
printf '%s' "$URL" | sed 's/^data:[^,]*,//' | base64 -d > "output.${EXT:-png}"
Python
import base64
from openai import OpenAI

client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="openai/gpt-5-image-mini",
    messages=[{"role": "user", "content": "A red apple on a wooden table"}],
    modalities=["image", "text"],
)

# message.content is None on an image reply — the picture is in message.images.
for i, img in enumerate(response.choices[0].message.images or []):
    header, b64 = img["image_url"]["url"].split(",", 1)
    ext = "png" if "image/png" in header else "jpg"
    with open(f"output_{i}.{ext}", "wb") as f:
        f.write(base64.b64decode(b64))
JavaScript
import OpenAI from "openai";
import fs from "node:fs";

const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "openai/gpt-5-image-mini",
  messages: [{ role: "user", content: "A red apple on a wooden table" }],
  modalities: ["image", "text"],
});

// message.content is null on an image reply — the picture is in message.images.
(response.choices[0].message.images ?? []).forEach((img, i) => {
  const url = img.image_url.url;
  const ext = url.startsWith("data:image/png") ? "png" : "jpg";
  fs.writeFileSync(`output_${i}.${ext}`, Buffer.from(url.slice(url.indexOf(",") + 1), "base64"));
});

Buy the OpenAI: GPT-5 Image Mini API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches OpenAI: GPT-5 Image Mini and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

How much does GPT-5 Image Mini cost?
Billing is usage-based: $2.5 per million input tokens and $2 per million output tokens. There is no fixed monthly fee. You pay only for what you use, and current rates are shown in the Hormouz dashboard.
How do I access GPT-5 Image Mini from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to GPT-5 Image Mini from inside Iran, with no foreign credit card or circumvention tooling required.
How do I call GPT-5 Image Mini?
GPT-5 Image Mini runs through Hormouz behind an asynchronous predictions API: submit a request with your prompt (and optional reference image), then poll until the image is ready. Point your base URL at Hormouz and use a Hormouz key.
What can GPT-5 Image Mini do?
GPT-5 Image Mini generates and edits images from text and reference images. It accepts a context of up to 400K tokens for the text side of the request and returns generated images.
What is GPT-5 Image Mini good for?
GPT-5 Image Mini is a good fit for generating and editing product imagery, illustrations, concept art and marketing visuals from text prompts and reference images.
What is GPT-5 Image Mini's knowledge cutoff?
GPT-5 Image Mini's training data runs through Sep 2024. For information newer than that, provide the relevant context in your prompt.

Updated 2026-10-13