OpenAI's cost-effective image generation model for when image quality isn't the top priority
gpt-image-1-mini
Starting from
By quality
Prices shown are in USD
See all providersGPT Image 1 Mini is available from 3 providers, with per-image pricing starting at $0.005 through fal.ai.
fal/gpt-image-1-mini
fal/gpt-image-1-mini-edit
openai/gpt-image-1-mini
Integrate GPT Image 1 Mini into your application for automated text-to-image generation and image editing via the Lumenfall OpenAI-compatible API. This standardized endpoint allows developers to programmatically generate and modify media using simple POST requests.
https://api.lumenfall.ai/openai/v1
gpt-image-1-mini
curl -X POST \ https://api.lumenfall.ai/openai/v1/images/generations \ -H "Authorization: Bearer $LUMENFALL_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-image-1-mini", "prompt": "", "size": "1024x1024" }'# Response:# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }import OpenAI from 'openai';const client = new OpenAI({ apiKey: 'YOUR_API_KEY', baseURL: 'https://api.lumenfall.ai/openai/v1'});const response = await client.images.generate({ model: 'gpt-image-1-mini', prompt: '', size: '1024x1024'});// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }console.log(response.data[0].url);from openai import OpenAIclient = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.lumenfall.ai/openai/v1")response = client.images.generate( model="gpt-image-1-mini", prompt="", size="1024x1024")# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }print(response.data[0].url)| Parameter | Type | Description | Modes |
|---|---|---|---|
prompt
|
string | Required. Text prompt for image generation |
T2I
Edit
|
quality
|
string |
Image quality level
high
low
medium
|
T2I
Edit
|
| Parameter | Type | Description | Modes |
|---|---|---|---|
size
|
string |
Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9")
1024x1024
1536x1024
1024x1536
WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.
|
T2I
Edit
|
aspect_ratio
|
string |
Aspect ratio of the output image (e.g. "16:9", "1:1")
2:3
1:1
3:2
Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.
|
T2I
Edit
|
resolution
|
string |
Output resolution tier (e.g. "1K", "4K")
1K
Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.
|
T2I
Edit
|
| Output |
size
|
aspect_ratio
+
resolution
|
|
|---|---|---|---|
| 1024 × 1536 | "1024x1536" |
or |
"2:3"
+
"1K"
|
| 1536 × 1024 | "1536x1024" |
or |
"3:2"
+
"1K"
|
| 1024 × 1024 | "1024x1024" |
or |
"1:1"
+
"1K"
|
size
Exact pixel dimensions
"1920x1080"
aspect_ratio
Shape only, default scale
"16:9"
resolution
Scale tier, preserves shape
"1K"
size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.
7:1 on a model with
4:1 and 8:1,
you get 8:1.
0.5K 1K 2K 4K)
or megapixel tiers (0.25 1).
If the exact tier isn't available, you get the nearest one.
| Parameter | Type | Description | Modes |
|---|---|---|---|
image
|
file |
Required.
Input image(s) to edit
Supports PNG, JPEG, WebP.
|
T2I
Edit
|
| Parameter | Type | Description | Modes |
|---|---|---|---|
response_format
|
string |
How to return the image
url
b64_json
Default:
"url" |
T2I
Edit
|
output_format
|
string |
Output image format
png
jpeg
gif
webp
avif
Gateway converts to requested format if provider doesn't support it natively.
|
T2I
Edit
|
output_compression
|
integer | Compression level for lossy formats (JPEG, WebP, AVIF) |
T2I
Edit
|
n
|
integer |
Number of images to generate
Default:
1Gateway generates multiple images in parallel even if provider only supports 1.
|
T2I
Edit
|
| Parameter | Type | Description | Modes |
|---|---|---|---|
background
fal
|
string |
Background for the generated image
opaque
transparent
|
T2I
Edit
|
sync_mode
fal
|
boolean | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. |
T2I
Edit
|
How we handle parameters across different providers
Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:
| Behavior | What happens | Example |
|---|---|---|
passthrough |
Sent as-is to the provider | style, quality |
renamed |
Same value, mapped to the field name the provider expects | prompt |
converted |
Transformed to the provider's native format | size |
emulated |
Works even if the provider has no concept of it | n, response_format |
Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.
GPT Image 1 Mini holds the #12 position for text-to-image generation with a competitive Elo rating of 1247. This OpenAI model offers a balanced performance profile, ranking in the top tier of international image generation benchmarks for speed and efficiency.
“A candid street photo of an elderly Japanese man repairing a red bicycle in light rain, reflections on wet pavement, shallow depth of field, 50mm lens, natural skin texture, imperfect framing, motion blur from passing cars, cinematic but realistic, no stylization.”
“Close portrait of a battle-worn paladin in ornate engraved plate armor, hair braided with small beads, faint scars and dirt on the skin, warm torchlight reflecting off metal, shallow depth of field, bokeh sparks, lifelike eyes, highly detailed texture on leather straps and cloth underlayer.”
“Hyper-photorealistic scene of fluffy baby animals—a golden retriever puppy, tabby kitten, baby bunny, and red fox kit—with big expressive eyes and ultra-detailed soft fur, playfully chasing butterflies and tumbling together in a lush wildflower meadow, warm golden sunrise light with god rays and dew sparkles, joyful wholesome vibe, 8K masterpiece.”
“A glass cube on a wooden table. Inside the cube is a small blue sphere. On top of the cube sits a red book. A green plant is behind the cube, partially visible through the glass. Soft window light from the left.”
“Close portrait of a battle-worn paladin in ornate engraved plate armor, hair braided with small beads, faint scars and dirt on the skin, warm torchlight reflecting off metal, shallow depth of field, bokeh sparks, lifelike eyes, highly detailed texture on leather straps and cloth underlayer.”
See how GPT Image 1 Mini performs head-to-head against other AI models, ranked by community votes in blind comparisons.
This model excels in portrait generation where it ranks #3 out of 19 with a 69.6% win rate, though its photorealism performance is more moderate at #9 with a 50.0% win rate. It is optimized for cost-effective text-to-image workflows and precise image editing tasks where rapid iteration is required.
GPT Image 1 Mini starts at $0.005 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.
You can use GPT Image 1 Mini through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "gpt-image-1-mini". Code examples are available in Python, JavaScript, and cURL.
GPT Image 1 Mini is available through OpenAI and fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.
GPT Image 1 Mini supports images up to 1536x1536 resolution.
GPT Image 1 Mini is a lightweight image generation model developed by OpenAI, designed specifically for efficiency and high-speed throughput. It serves as a cost-effective alternative to larger, high-fidelity diffusion models, prioritizing rapid iteration and lower compute costs over photorealistic detail. The model belongs to the gpt-image family and supports both text-to-image generation and image-to-image editing tasks.
GPT Image 1 Mini utilizes a streamlined architecture within the OpenAI gpt-image lineage, likely employing a distilled version of larger diffusion or transformer-based generative frameworks. The training approach focuses on maximizing the ratio of prompt alignment to parameter count, allowing the model to interpret user intent accurately while reducing the floating-point operations required for each inference. This efficiency is achieved through architectural pruning and optimized sampling techniques.
This model is ideal for developers building internal tools, automated placeholder generators, or rapid ideation features where “good enough” quality is sufficient. It is particularly effective for generating icons, simple vector-style graphics, or testing prompt engineering workflows at scale.
GPT Image 1 Mini is available through Lumenfall’s unified API and playground, allowing you to integrate it into your pipeline alongside other generative models via a single interface.
Generate images with custom prompts — no API key needed.
