Image

OpenAI

gpt-image-1-mini API

gpt-image-1-mini is a cost-optimized, multimodal image model from OpenAI that accepts text and image inputs and produces image outputs. It is positioned as a smaller, cheaper sibling to OpenAI’s full GPT-Image-1 family — designed for high-throughput production use where cost and latency are important constraints. The model is intended for tasks such as text-to-image generation, image editing / inpainting, and workflows that incorporate reference imagery.
Get Free API Key
  • Flexible Solution
  • Constant Updates 
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key="<YOUR_API_KEY>",    
)

response = client.chat.completions.create(
    model="gpt-image-1-mini",
    messages=[
        {
            "role": "system",
            "content": "You are an AI assistant who knows everything.",
        },
        {
            "role": "user",
            "content": "Tell me, why is the sky blue?"
        },
    ],
)

message = response.choices[0].message.content

print(f"Assistant: {message}")

All AI Models in One API
500+ AI Models

Free For A Limited Time! Register Now 

Get 1M Free Token Instantly！

openai logo

gpt-image-1-mini API

gpt-image-1-mini is a cost-optimized, multimodal image model from OpenAI that accepts text and image inputs and produces image outputs. It is positioned as a smaller, cheaper sibling to OpenAI’s full GPT-Image-1 family — designed for high-throughput production use where cost and latency are important constraints. The model is intended for tasks such as text-to-image generation, image editing / inpainting, and workflows that incorporate reference imagery.

Key features

  • Text→Image generation: converts natural-language prompts into images with strong instruction following.
  • Image editing / inpainting: accepts reference images and masks to perform targeted edits.
  • Cost-optimized (“mini”) design: a smaller footprint that OpenAI and observers describe as much cheaper per image than the large model (OpenAI/DevDay messaging and early reports say ~80% less expensive).
  • Flexible output controls: supports size, output format (JPEG/PNG/WEBP), compression and a quality knob (low/medium/high/auto in the cookbook).

Technical details (architecture & capabilities)

  • Model family & input/output: member of the gpt-image-1 family; accepts text prompts and image inputs (for edits) and returns generated image outputs. Quality/size parameters control resolution (typical max ~1536×1024 in this family—see docs for exact supported sizes).
  • Operational tradeoffs: engineered as a smaller footprint model—trades some top-end fidelity for throughput and cost improvements while preserving robust prompt-following and edit features.
  • Safety & metadata: follows OpenAI’s image safety guardrails and embeds C2PA metadata options for provenance when available.

Inputs & outputs — canonical usage supports:

  • Text prompt (string) to generate a new image.
  • Image + mask to perform targeted edits/inpainting.
  • Reference images to control style or composition.
    These are exposed via the Images API (model name gpt-image-1-mini).

Limitations

  • Lower peak fidelity: compared with the large gpt-image-1 model, mini may lose some micro-detail and top-end photorealism (expected tradeoff for cost).
  • Text rendering & tiny details: like many image models, it can struggle with small legible text, dense charts, or micro-fine textures; expect to post-process or use higher-capacity models for those needs.
  • Edit scope: image edit/inpainting features are available but suggest some editing limitations relative to interactive ChatGPT web tools—edits are effective for many tasks but may require iterative refinement.
  • Safety & policy constraints: outputs are subject to OpenAI moderation/safety guardrails (explicit content, copyrighted content restrictions, disallowed outputs). Developers can control moderation sensitivity via API parameters where offered.

Recommended use cases

  • High-volume content generation (marketing assets, thumbnails, rapid concept art) — where cost per image is primary.
  • Programmatic editing / templating — bulk inpainting or variant generation from a base asset.
  • Interactive applications with budget constraints — chat interfaces or integrated design tools where response speed and cost matter more than absolute top fidelity.
  • Prototyping & A/B image generation — generate many candidate images quickly and selectively upscale or re-run on larger models for finalists.

How to call gpt-image-1-mini API from CometAPI

gpt-image-1-mini API Pricing in CometAPI，20% off the official price:

Input Tokens$2.00
Output Tokens$6.40

Required Steps

  • Log in to cometapi.com. If you are not our user yet, please register first.
  • Sign into your CometAPI console.
  • Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.

Use Method

  1. Select the “gpt-image-1-mini” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience.
  2. Replace <YOUR_API_KEY> with your actual CometAPI key from your account.
  3. Insert your question or request into the content field—this is what the model will respond to.
  4. . Process the API response to get the generated answer.

CometAPI provides a fully compatible REST API—for seamless migration. Key details to image generation:

  • Base URL: https://api.cometapi.com/v1/images/generations
  • Model Names: gpt-image-1-mini
  • Authentication:  Bearer YOUR_CometAPI_API_KEY header
  • Content-Type: application/json .

Image Editing (gpt-image-1): https://api.cometapi.com/v1/images/edits

See Also GPT-image-1 API

Start Today

One API
Access 500+ AI Models!

Free For A Limited Time! Register Now
Get 1M Free Token Instantly！

Get Free API Key
API Docs

Related posts

GPT-5.1 spotted What is it like and when is it coming out
New

GPT-5.1 spotted: What is it like and when is it coming out

2025-11-10 No comments yet

By the end of 2025, the competition in AI models will intensify. The upcoming releases of GPT 5.1 and Gemini 3.0 Pro are undoubtedly a major focus. The looming releases are both a signal of competition and a marketing tactic for companies to preemptively seize market share. Gemini 3.0 has released code signals on Vertex: […]

GPT-6 Is Coming Soon — What Will It Look Like
Technology, New

GPT-6 Is Coming Soon — What Will It Look Like?

2025-11-07 No comments yet

The AI world is buzzing: OpenAI is actively developing the successor to GPT-5 (often referred to in press and social posts as “GPT-6” or jokingly “GPT-6-7”), and competing labs — notably DeepMind/Google — are readying their next major upgrade (Gemini 3.0). Taken together, the signals say one thing clearly: a new generation of large models […]

How to Run GPT-5-Codex with Cursor AI
Technology, Guide

How to Run GPT-5-Codex with Cursor AI?

2025-11-03 No comments yet

Lately,OpenAI has launched a specialized version—GPT‑5‑Codex—specifically tuned for software engineering workflows via its Codex brand. Meanwhile, coding-IDE provider Cursor AI has integrated GPT-5 and GPT-5-Codex to enhance developer experience. OpenAI’s GPT-5-Codex and Cursor’s GPT-5 support let developers combine a specialized coding model with an IDE-centric AI workflow—what GPT-5 Codex is, how to connect it to […]