AI Image Editing Model
OpenAI's state-of-the-art image generation model with better instruction following and adherence to prompts
gpt-image-1.5
Starting from
By quality
Prices shown are in USD
See all providersFastest generation through replicate at 34,702ms median latency with 94.1% success rate.
Aggregated from real API requests over the last 30 days.
| # | Provider | p50 Gen Time | p95 Gen Time | Success Rate | TTFB (p50) |
|---|---|---|---|---|---|
| 1 | replicate | 34,702ms | 42,566ms | 94.1% | 35,276ms |
| 2 | openai | 39,330ms | 58,033ms | 75.9% | 38,727ms |
| 3 | fal | 49,823ms | 87,593ms | 100.0% | 50,112ms |
GPT Image 1.5 is available from 3 providers, with per-image pricing starting at $0.009 through fal.ai.
fal/gpt-image-1.5
replicate/gpt-image-1.5
openai/gpt-image-1.5
Developers can integrate GPT Image 1.5 through the Lumenfall OpenAI-compatible API to automate text-to-image generation and complex image editing workflows. This single endpoint provides programmatic access to OpenAI's state-of-the-art vision capabilities for scalable media production.
https://api.lumenfall.ai/openai/v1
gpt-image-1.5
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-1.5", "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-1.5', 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-1.5", 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")
1254x836
836x1254
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
|
|
|---|---|---|---|
| Flexible | |||
|
Custom
1024–1536px per side
|
"WxH" |
— | Any pixel dimensions within model constraints |
| 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"
|
| 836 × 1254 | "836x1254" |
or |
"2:3"
+
"1K"
|
| 1254 × 836 | "1254x836" |
or |
"3:2"
+
"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 |
|---|
| 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
replicate
|
integer |
Compression level (0-100%)
Default:
90 |
T2I
Edit
|
n
|
integer |
Number of images to generate
Default:
1Gateway generates multiple images in parallel even if provider only supports 1.
|
T2I
Edit
|
Provider-specific passthrough fields, available only when the request is routed to the listed provider.
| Parameter | Type | Description | Modes |
|---|---|---|---|
|
Universal
|
|||
background
|
string |
Set whether the background is transparent or opaque or choose automatically
opaque
transparent
|
T2I
Edit
|
input_fidelity
|
string |
Control how much effort the model will exert to match the style and features, especially facial features, of input images
high
low
|
T2I
Edit
|
moderation
|
string |
Content moderation level
low
|
T2I
Edit
|
|
fal
|
|||
sync_mode
|
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
|
|
openai
|
|||
partial_images
|
integer | Number of partial images to generate in streaming responses. |
T2I
Edit
|
stream
|
boolean | Whether to stream image generation or edit events as they become available. |
T2I
Edit
|
user
|
string | Stable end-user identifier used by OpenAI abuse monitoring. |
T2I
Edit
|
|
replicate
|
|||
openai_api_key
|
string | Your OpenAI API key (optional - uses proxy if not provided) |
T2I
Edit
|
user_id
|
string | An optional unique identifier representing your end-user. This helps OpenAI monitor and detect abuse. |
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 1.5 holds an Elo rating of 1285 in text-to-image generation, ranking #2 globally, and maintains a #3 rank for image editing with an Elo of 1230. These scores reflect its superior instruction following and competitive performance across major open-vision leaderboards.
“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
“Modern minimalist restaurant menu design, white background with colorful food photos in grid, sections for appetizers/pizza/mains, bold sans-serif fonts, vibrant accents, clean professional layout for casual dining.”
“Create a clean, modern vector infographic poster about the Apollo 11 mission. NASA-inspired palette (navy, white, muted red, light gray). Flat-vector style, crisp lines, consistent iconography, subtle gradients only. Steps (stop at landing): 1. Launch (Saturn Vicon) 2. Earth Orbit (Earth + orbit ring icon) 3. Translunar (trajectory arc icon) 4. Lunar Orbit (Moon + orbit ring icon) 5. Descent (lunar module descending icon) 6. Landing (lunar module on the surface icon) Small supporting elements (minimal text): • Crew strip: three silhouette icons with only last names: Armstrong, Aldrin, Collins. • Landing site marker: Moon pin labeled "Tranquility" only. Layout constraints: generous margins, large readable labels, clean background with subtle stars. Vector-only, print-poster look, high resolution.”
“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.”
“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
“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.”
“Hyper-photorealistic interior of a lush Victorian glass greenhouse filled with exotic tropical plants, vibrant blooming orchids, tall ferns, colorful butterflies in flight, sunlight filtering through ornate glass roof creating realistic caustics and dew on leaves, intricate iron framework visible, misty atmosphere, 8K masterpiece.”
“Hyper-photorealistic full-body portrait of a female superhero standing triumphantly on a New York skyscraper rooftop at golden sunset, wearing a classic modest superhero costume with flowing cape, chest emblem, gloves, and boots in red and blue colors, practical design, short hair, strong determined heroic expression looking into the distance, powerful confident stance with hands on hips and cape billowing dramatically in the wind, detailed urban cityscape background, warm natural sunlight with sharp shadows and fabric highlights, ultra-sharp textures on suit, hair, and concrete, 8K masterpiece, empowering family-friendly style.”
“Perfectly symmetrical mandala made entirely of real flowers, petals, leaves, fruits, and seeds in vibrant natural colors, intricate layered patterns with radial symmetry, top-down view on a soft neutral background, hyper-detailed organic textures and subtle shadows, photorealistic, 8K masterpiece.”
“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 1.5 performs head-to-head against other AI models, ranked by community votes in blind comparisons.
vs Grok Imagine Image
Challenge: Modern Clean Menu
50% W · 50% L
vs Nano Banana 2
Challenge: Fantasy Warrior
0% W · 50% L · 50% T
vs ImagineArt 1.5 (Preview)
Challenge: Geometric Composition
50% W · 50% L
vs Wan 2.6
Challenge: Golden Hour Stroll
50% W · 50% L
vs Nano Banana
Challenge: Bald man challenge
0% W · 100% L
GPT Image 1.5 leads the Portrait category with a first-place rank and 84.6% win rate, while also ranking #3 for Text Rendering and Product/Commercial usage. It performs significantly weaker in Anime generation, where it currently ranks #13 with a 26.3% win rate.
GPT Image 1.5 starts at $0.009 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.
You can use GPT Image 1.5 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "gpt-image-1.5". Code examples are available in Python, JavaScript, and cURL.
GPT Image 1.5 is available through Replicate, OpenAI, and fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.
GPT Image 1.5 supports images up to 1536x1536 resolution.
GPT Image 1.5 is OpenAI’s latest flagship image generation model, designed to transform complex text descriptions into high-fidelity visual assets. It represents a significant iteration in the GPT-image family, focusing on narrowing the gap between user intent and generated output. The model is distinctive for its high level of steerability, allowing users to define specific spatial arrangements and intricate details that previous iterations often elided.
GPT Image 1.5 is built upon a transformer-based diffusion architecture, leveraging OpenAI’s advancements in large-scale multimodal pre-training. By utilizing a sophisticated text encoder similar to those found in the GPT-4 family, the model can internalize nuanced semantic meanings before translating them into the visual latent space. This architecture enables the model to treat image generation as a sequence-informed task, improving the alignment between the text tokens and the resulting pixels.
GPT Image 1.5 is ideal for professional workflows including advertising concept art, architectural visualization, and detailed character design where precision is non-negotiable. Its ability to follow strict formatting makes it a strong candidate for automated content pipelines and social media asset generation.
You can experiment with GPT Image 1.5 and compare its outputs with other top-tier models through the Lumenfall playground or integrate it into your production environment using the Lumenfall unified API.
Generate images with custom prompts — no API key needed.
