OpenAI

llms.txt

GPT Image 1.5

Name: GPT Image 1.5
Brand: OpenAI
Price: 0.009 USD
Availability: InStock

AI Image Editing Model

Image #4 Text-to-Image #3 Image-to-Image

OpenAI's state-of-the-art image generation model with better instruction following and adherence to prompts

Try Model Benchmark examples

1536 x 1536

Max Resolution

Supported Modes

Text to Image Image Edit

Active

Details

Model ID

gpt-image-1.5

Creator

OpenAI

Family

gpt-image

Max Input Images

Ready to integrate?

Access gpt-image-1.5 via our unified API.

Create Account

Available at 3 providers

Starting from

$0.0090 /image via fal.ai, OpenAI · +1 more

By quality

Low

~$0.010

Medium

~$0.039

High

~$0.134

Prices shown are in USD

See all providers

Provider Performance

Fastest generation through replicate at 37,482ms median latency with 96.0% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

replicate

p95: 52,770ms

openai

p95: 60,391ms

fal

p95: 77,263ms

Success Rate

replicate

96.0%

24 / 25 requests

openai

55.6%

225 / 405 requests

fal

94.1%

48 / 51 requests

Time to First Byte

replicate

37,600ms

p95: 53,353ms

openai

39,923ms

p95: 56,106ms

fal

47,953ms

p95: 77,006ms

Provider Rankings

#	Provider	p50 Gen Time	p95 Gen Time	Success Rate	TTFB (p50)
1	replicate	37,482ms	52,770ms	96.0%	37,600ms
2	openai	41,524ms	60,391ms	55.6%	39,923ms
3	fal	48,142ms	77,263ms	94.1%	47,953ms

Data updated every 15 minutes. Based on all API requests through Lumenfall over the last 30 days.

Providers & Pricing (4)

GPT Image 1.5 is available from 4 providers, with per-image pricing starting at $0.009 through fal.ai.

fal.ai

Text to Image

fal/gpt-image-1.5

Provider Model ID: fal-ai/gpt-image-1.5

Output

Image High, 1024x1024

$0.133 per image

Image High, 1024x1536

$0.200 per image

Image High, 1536x1024

$0.199 per image

Image Low, 1024x1024

$0.0090 per image

Image Low, 1024x1536

$0.013 per image

Image Low, 1536x1024

$0.013 per image

Image Medium, 1024x1024

$0.034 per image

Image Medium, 1024x1536

$0.051 per image

Image Medium, 1536x1024

$0.050 per image

Pricing Notes (1)

• Per-image prices vary by quality (low/medium/high) and size

View official pricing • As of Jan 27, 2026

fal.ai

Image Edit

fal/gpt-image-1.5-edit

Provider Model ID: fal-ai/gpt-image-1.5/edit

Output

Image High, 1024x1024

$0.133 per image

Image High, 1024x1536

$0.200 per image

Image High, 1536x1024

$0.199 per image

Image Low, 1024x1024

$0.0090 per image

Image Low, 1024x1536

$0.013 per image

Image Low, 1536x1024

$0.013 per image

Image Medium, 1024x1024

$0.034 per image

Image Medium, 1024x1536

$0.051 per image

Image Medium, 1536x1024

$0.050 per image

Pricing Notes (1)

• Per-image prices vary by quality (low/medium/high) and size

View official pricing • As of Jan 27, 2026

Replicate

Text to Image Image Edit

replicate/gpt-image-1.5

Provider Model ID: openai/gpt-image-1.5

Output

Image High

$0.136 per image

Image Low

$0.013 per image

Image Medium

$0.050 per image

Pricing Notes (1)

• Per-image prices vary by quality level

View official pricing • As of Jan 27, 2026

OpenAI

Text to Image Image Edit

openai/gpt-image-1.5

Provider Model ID: gpt-image-1.5

Input

Token text

$5.00 per 1M

Token text Cached

$1.25 per 1M

Token image

$8.00 per 1M

Token image Cached

$2.00 per 1M

Output

Token text

$10.00 per 1M

Token image

$32.00 per 1M

Image High, 1024x1024

$0.133 per image

Image High, 1024x1536

$0.200 per image

Image High, 1536x1024

$0.200 per image

Image Low, 1024x1024

$0.0090 per image

Image Low, 1024x1536

$0.013 per image

Image Low, 1536x1024

$0.013 per image

Image Medium, 1024x1024

$0.034 per image

Image Medium, 1024x1536

$0.050 per image

Image Medium, 1536x1024

$0.050 per image

Pricing Notes (3)

• Pricing available in both token-based and per-image formats
• Per-image prices vary by quality (low/medium/high) and size
• Supports up to 10 input images; first 5 preserved with higher fidelity

View official pricing

GPT Image 1.5 API OpenAI-compatible

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.

Base URL

https://api.lumenfall.ai/openai/v1

Model

gpt-image-1.5

Code Examples

Text to Image

/v1/images/generations

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 OpenAI

client = 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)

Image Edit

/v1/images/edits

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=gpt-image-1.5" \

  -F "[email protected]" \

  -F "prompt=Add a starry night sky to this image" \

  -F "size=1024x1024"

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

import fs from 'fs';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.edit({

  model: 'gpt-image-1.5',

  image: fs.createReadStream('source.png'),

  prompt: 'Add a starry night sky to this image',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.edit(

    model="gpt-image-1.5",

    image=open("source.png", "rb"),

    prompt="Add a starry night sky to this image",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Parameter Reference

Required Supported Not available

Core Parameters

Parameter	Type	Description	Modes
`prompt`	string	Required. Text prompt for image generation	T2I Edit
`quality`	string	Image quality level `high` `low` `medium`	T2I Edit

Size & Layout

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

1K 5 sizes

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"`

How these parameters work

size

Exact pixel dimensions

"1920x1080"

aspect_ratio

Shape only, default scale

"16:9"

resolution

Scale tier, preserves shape

"1K"

Priority when combined

size › aspect_ratio + resolution › aspect_ratio › resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.

Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.

Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Media Inputs

Parameter	Type	Description	Modes
`image`	file	Required. Input image(s) to edit Supports PNG, JPEG, WebP.	T2I Edit

Output & Format

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: `1` Gateway generates multiple images in parallel even if provider only supports 1.	T2I Edit

Additional Parameters

Parameter	Type	Description	Modes
`background`	string	Background for the generated image `opaque` `transparent`	T2I Edit
`input_fidelity`	string	Input fidelity for the generated image `high` `low`	T2I Edit
`mask_image_url` fal	string	The URL of the mask image to use for the generation. This indicates what part of the image to edit.	T2I Edit
`moderation` replicate	string	Content moderation level `low`	T2I Edit
`openai_api_key` replicate	string	Your OpenAI API key (optional - uses proxy if not provided)	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
`user_id` replicate	string	An optional unique identifier representing your end-user. This helps OpenAI monitor and detect abuse.	T2I Edit

Parameter Normalization

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.

Full API Reference Authentication, endpoints, and more

GPT Image 1.5 Benchmarks

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.

Lumenfall Arena

Text-to-Image

1264 Elo

Lumenfall Arena

Image Editing

1229 Elo

Text-to-Image Landscape

Elo vs Cost

Elo vs Speed

8 without speed data omitted.

Image Editing Landscape

Elo vs Cost

Elo vs Speed

1 without speed data omitted.

Competition Results

Image Editing

Photorealism

View leaderboard

Man and Car in California

13 models

Image Editing

Source

Edit instruction

“Make a photo of the man driving the car down the California coastline”

GPT Image 1.5 edited result for Neutral Expression to Genuine Smile

Original image before GPT Image 1.5 editing

Before After

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}

GPT Image 1.5 edited result for Night Sky Transformation

Before After

Night Sky Transformation

16 models

Image Editing

Edit instruction

“Change the scene to night: a deep, dark sky with subtle, glistening stars visible behind the mountain.”

Golden Hour Stroll

13 models

Image Editing

Source

Edit instruction

“Add dynamic motion to this photo: make hair blow in the wind, add leaves flying, energetic and lively feel.”

GPT Image 1.5 edited result for Bald man challenge

Before After

#10

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Text-to-Image

Text Rendering

View leaderboard

Vintage Cafe Logo

21 models

Text-to-Image

Prompt

“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 Clean Menu

19 models

Text-to-Image

Prompt

“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.”

Apollo 11: Journey to Tranquility

19 models

Text-to-Image

Prompt

“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.”

Image Editing

Anime

View leaderboard

#12

Studio Ghibli Anime Style

14 models

Image Editing

Source

Edit instruction

“Transform this photo into a Studio Ghibli–inspired illustration. Use soft pastel colors, hand-painted textures, gentle lighting, dreamy backgrounds, and a warm, nostalgic mood”

Image Editing

Portrait

View leaderboard

Before After

Neutral Expression to Genuine Smile

14 models

Image Editing

Edit instruction

{
  "action": "image_edit",
  "reference": "uploaded neutral portrait",
  "change": "Warm genuine Duchenne smile: lips curved up, slight natural teeth, soft eye crinkles, subtle cheek raise",
  "details": "Realistic smiling skin (dimples if present, soft cheek shadows), slightly brighter eyes; keep exact eye shape/color/iris",
  "preserve_exact": "Face identity/structure, eyes/nose/lips/eyebrows, hair, skin texture/pores/freckles, makeup, clothing, head pose, background, lighting, shadows, framing",
  "no_changes": "No face shape change, no new features, no gaze shift, no hair/clothing/lighting/background edits",
  "style": "Ultra-photorealistic 8K portrait, sharp face focus, natural soft lighting, realistic skin glow"
}

Before After

#10

Bald man challenge

15 models

Image Editing

Edit instruction

“Give the person a full, thick head of natural hair with realistic texture, density, and a natural hairline. Preserve facial features and lighting.”

Text-to-Image

Photorealism

View leaderboard

Candid Street Photography

24 models

Text-to-Image

Prompt

“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.”

Text-to-Image

Product, Branding & Commercial

View leaderboard

Vintage Cafe Logo

21 models

Text-to-Image

Prompt

Text-to-Image

Portrait

View leaderboard

Fantasy Warrior

21 models

Text-to-Image

Prompt

“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.”

Uncategorized

Victorian Greenhouse Oasis

17 models

Text-to-Image

Prompt

“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.”

Over-the-top cartoon caricature

13 models

Image Editing

Source

Edit instruction

“Create a caricature of me and my job. Make it exaggerated and humorous, incorporating my profession as a tv show anchor and my love for dogs and hockey.”

Adorable Baby Animals in Sunny Meadow

25 models

Text-to-Image

Prompt

“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.”

Heroic Super Hero Portrait

21 models

Text-to-Image

Prompt

“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.”

#10

Geometric Composition

22 models

Text-to-Image

Prompt

“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.”

#13

Intricate Floral Mandala

15 models

Text-to-Image

Prompt

“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.”

Fantasy Warrior

14 models

Text-to-Image

Prompt

3 attempts – showing best result

Top Matchups

See how GPT Image 1.5 performs head-to-head against other AI models, ranked by community votes in blind comparisons.

vs Nano Banana

Challenge: Neutral Expression to Genuine Smile

33% W · 33% L · 33% T

vs Stable Diffusion 3.5 Large

Challenge: Apollo 11: Journey to Tranquility

25% W · 75% L

vs FLUX.2 [dev] Turbo

Challenge: Intricate Floral Mandala

0% W · 50% L · 50% T

vs Nano Banana Pro

Challenge: Night Sky Transformation

0% W · 67% L · 33% T

vs Nano Banana Pro

Challenge: Bald man challenge

33% W · 67% L

GPT Image 1.5 is best for

See all Use Cases

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.

#2 of 23

Text Rendering

Gen · 81.7% win rate

#2 of 23

Photorealism

Gen · 77.8% win rate

#2 of 16

Photorealism

Edit · 58.9% win rate

#3 of 21

Product, Branding & Commercial

Gen · 73.7% win rate

#5 of 21

Portrait

Gen · 70.0% win rate

#5 of 15

Portrait

Edit · 60.0% win rate

Gallery

View all 23 images

GPT Image 1.5 FAQ

How much does GPT Image 1.5 cost?

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.

How do I use GPT Image 1.5 via API?

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.

Which providers offer GPT Image 1.5?

GPT Image 1.5 is available through OpenAI, fal.ai, and Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.

What is the maximum resolution for GPT Image 1.5?

GPT Image 1.5 supports images up to 1536x1536 resolution.

Overview

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.

Strengths

Complex Instruction Following: The model excels at parsing long, multi-part prompts, ensuring that every requested element is present in the final composition without losing track of secondary details.
Spatial and Relational Accuracy: It maintains high consistency when placing objects in specific locations (e.g., “in the bottom left corner”) or defining relationships between subjects (e.g., “leaning against” or “half-obscured by”).
Text Rendering Accuracy: GPT Image 1.5 shows marked improvement in rendering legible, correctly spelled text within images, making it suitable for graphic design mockups and signage.
Diverse Aspect Ratios: Unlike earlier generative models restricted to square outputs, this model natively supports a wide range of aspect ratios while maintaining structural integrity and avoiding anatomical distortion.

Limitations

Photorealistic Nuance: While highly capable, it may still struggle with specific “uncanny valley” effects in human skin textures or micro-expressions compared to specialized diffusion models tuned specifically for photography.
Prompt Literalism: Because the model prioritizes strict adherence to instructions, it can occasionally lack the “artistic flair” or unexpected creativity found in models that interpret prompts more loosely.
Inference Latency: Given the complexity of the architecture required to achieve high instruction following, generation times may be slightly higher than smaller, distilled latent diffusion models.

Technical Background

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.

Best For

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.

Try GPT Image 1.5 in Playground

Generate images with custom prompts — no API key needed.

Open Playground