Google

Nano Banana

Name: Nano Banana
Brand: Google
Price: 0.039 USD
Availability: InStock

AI Image Editing Model

Gemini 2.5 Flash Image is optimized for image understanding and generation, offering a balance of price and performance with fast and efficient image generation and editing capabilities.

Try Model Benchmark examples

33K

Context Window

Max Images per Request

Supported Modes

Text to Image Image Edit

Active

Capabilities

Batch System prompt

Details

Model ID

gemini-2.5-flash-image

Also known as: gemini-2.5-flash-image-preview

Creator

Google

Family

gemini-2.5-flash-image

Released

October 2025

Max Input Images

Max Output Tokens

32,768

Ready to integrate?

Access gemini-2.5-flash-image via our unified API.

Create Account

Available at 4 providers

Starting from

$0.039 /image via Gemini API, Vertex AI · +2 more

Prices shown are in USD · Some prices estimated from per-megapixel or per-token pricing

See all providers

Provider Performance

Fastest generation through gemini at 7,886ms median latency with 57.9% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

gemini

p95: 10,941ms

fal

p95: 96,361ms

Success Rate

gemini

57.9%

11 / 19 requests

fal

100.0%

18 / 18 requests

Time to First Byte

gemini

7,043ms

p95: 10,111ms

fal

35,705ms

p95: 96,163ms

Provider Rankings

#	Provider	p50 Gen Time	p95 Gen Time	Success Rate	TTFB (p50)
1	gemini	7,886ms	10,941ms	57.9%	7,043ms
2	fal	31,825ms	96,361ms	100.0%	35,705ms

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

Providers & Pricing (5)

Nano Banana is available from 5 providers, with per-image pricing starting at $0.039 through fal.ai.

fal.ai

Text to Image

fal/gemini-2.5-flash-image

Provider Model ID: fal-ai/gemini-25-flash-image

$0.039 /image

View pricing details

fal.ai

Image Edit

fal/gemini-2.5-flash-image-edit

Provider Model ID: fal-ai/gemini-25-flash-image/edit

$0.039 /image

View pricing details

Replicate

Text to Image Image Edit

replicate/gemini-2.5-flash-image

Provider Model ID: google/gemini-2.5-flash-image

$0.039 /image

View pricing details

Gemini API

Text to Image Image Edit

gemini/gemini-2.5-flash-image

Provider Model ID: gemini-2.5-flash-image

Input

Token

$0.300 per 1M

Output

Token image

$30.00 per 1M

View official pricing • As of Oct 02, 2025

Vertex AI

Text to Image Image Edit

vertex/gemini-2.5-flash-image

Provider Model ID: gemini-2.5-flash-image

Input

Token

$0.300 per 1M

Output

Token image

$30.00 per 1M

View official pricing • As of Oct 02, 2025

gemini-2.5-flash-image-preview API OpenAI-compatible

Integrate Nano Banana into your workflow via Lumenfall’s OpenAI-compatible API to perform scalable text-to-image generation and complex image editing tasks.

Base URL

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

Model

gemini-2.5-flash-image

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": "gemini-2.5-flash-image",

    "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: 'gemini-2.5-flash-image',

  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="gemini-2.5-flash-image",

    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=gemini-2.5-flash-image" \

  -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: 'gemini-2.5-flash-image',

  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="gemini-2.5-flash-image",

    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. Edit instruction for the image	T2I Edit
`seed`	integer	Random seed for reproducibility	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") 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") 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") `auto` `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
Auto	`"auto"`	—	Model chooses optimal dimensions

1K 10 sizes

Output	`size`		`aspect_ratio` + `resolution`
1183 × 887	`"1183x887"`	or	`"4:3"` + `"1K"`
916 × 1145	`"916x1145"`	or	`"4:5"` + `"1K"`
1145 × 916	`"1145x916"`	or	`"5:4"` + `"1K"`
1024 × 1024	`"1024x1024"`	or	`"1:1"` + `"1K"`
887 × 1182	`"887x1182"`	or	`"3:4"` + `"1K"`
836 × 1254	`"836x1254"`	or	`"2:3"` + `"1K"`
1254 × 836	`"1254x836"`	or	`"3:2"` + `"1K"`
768 × 1365	`"768x1365"`	or	`"9:16"` + `"1K"`
1365 × 768	`"1365x768"`	or	`"16:9"` + `"1K"`
1563 × 670	`"1563x670"`	or	`"21:9"` + `"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`	integer	Compression level for lossy formats (JPEG, WebP, AVIF)	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
`limit_generations` fal	boolean	Experimental parameter to limit the number of generations from each round of prompting to 1. Set to `True` to to disregard any instructions in the prompt regarding the number of images to generate.	T2I Edit
`safety_tolerance` fal	string	The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict. `1` `2` `3` `4` `5` `6`	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

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

Nano Banana Benchmarks

Nano Banana (Gemini 2.5 Flash Image) holds an Elo of 1251 in text-to-image generation, ranking 11th overall. It shows significant strength in image editing tasks, achieving an Elo of 1227 and securing the #5 position globally.

Lumenfall Arena

#16

Text-to-Image

1247 Elo

Lumenfall Arena

Image Editing

1222 Elo

Text-to-Image Landscape

Elo vs Cost

Elo vs Speed

10 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

Nano Banana edited result for Neutral Expression to Genuine Smile

Original image before Nano Banana 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"
}

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”

Nano Banana edited result for Bald man challenge

Before After

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.”

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.”

Nano Banana edited result for Night Sky Transformation

Before After

#12

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.”

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.”

#13

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.”

#10

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

#14

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

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

#21

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

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.”

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.”

#11

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.”

#14

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.”

#12

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.”

#18

Isometric Miniature Diorama Scenes

21 models

Text-to-Image

Prompt

“Create a clear, 45° top-down isometric miniature 3D cartoon scene of Japan's signature dish: sushi, with soft refined textures, realistic PBR materials, gentle lighting, on a small raised diorama base with minimal garnish and plate. Solid light blue background. At top-center: 'JAPAN' in large bold text, 'SUSHI' below it, small flag icon. Perfectly centered, ultra-clean, high-clarity, square format.”

#11

Fantasy Warrior

14 models

Text-to-Image

Prompt

3 attempts – showing best result

Top Matchups

See how Nano Banana performs head-to-head against other AI models, ranked by community votes in blind comparisons.

vs GPT Image 1.5

Challenge: Neutral Expression to Genuine Smile

33% W · 33% L · 33% T

vs Stable Diffusion 3.5 Large

Challenge: Apollo 11: Journey to Tranquility

20% W · 80% L

vs Nano Banana Pro

Challenge: Bald man challenge

25% W · 25% L · 50% T

vs GPT Image 1.5

Challenge: Vintage Cafe Logo

0% W · 100% L

vs ImagineArt 1.5 (Preview)

Challenge: Heroic Super Hero Portrait

0% W · 100% L

Nano Banana is best for

See all Use Cases

This model is a top performer for portraiture and photorealism, where it ranks 1st and 2nd respectively with win rates exceeding 54%. Its effectiveness notably declines in creative categories like anime, where it maintains only a 5.3% win rate.

#2 of 15

Portrait

Edit · 70.2% win rate

#3 of 16

Photorealism

Edit · 57.7% win rate

#4 of 21

Product, Branding & Commercial

Gen · 57.7% win rate

Gallery

View all 23 images

Nano Banana FAQ

How much does Nano Banana cost?

Nano Banana starts at $0.039 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

What can Nano Banana do?

Nano Banana supports Batch and System prompt. It accepts text and image input and produces text and image output.

How do I use Nano Banana via API?

You can use Nano Banana through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "gemini-2.5-flash-image". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Nano Banana?

Nano Banana is available through fal.ai, Vertex AI, Replicate, and Gemini API on Lumenfall. Lumenfall automatically routes requests to the best available provider.

Overview

Gemini 2.5 Flash Image is a multimodal model developed by Google designed for high-velocity image generation and visual reasoning. It functions as an efficient mid-tier option in the Gemini lineup, prioritizing low latency and cost-effectiveness while maintaining the ability to process both text and image inputs. This model is distinctive for its dual-purpose nature, acting as both an image generator and a visual analysis tool within a single architecture.

Strengths

Rapid Iterative Generation: Optimized for speed, the model excels at “flash” generation cycles where low latency is required for real-time applications or high-volume batch processing.
Instruction Following: Strong adherence to system prompts allows for precise control over stylistic constraints and compositional requirements during the image creation process.
Multimodal Reasoning: Unlike pure-play diffusion models, it can ingest existing images as context to perform editing, variations, or descriptive analysis.
Resource Efficiency: Offers a significantly lower price point ($0.039 starting price) compared to larger-parameter models, making it viable for large-scale production deployments.

Limitations

Visual Complexity: While fast, it may lack the intricate fine-detail rendering (such as complex micro-textures or hyper-realistic human anatomy) found in larger, “Pro” tier models.
Compositional Nuance: In very dense scenes with numerous specific spatial requirements, the model may occasionally prioritize speed over exact adherence to complex spatial arrangements.
Niche Stylization: Without specialized LoRA support or fine-tuning, it may struggle with highly specific or avant-garde artistic styles compared to dedicated community-driven generation models.

Technical Background

Released in October 2025, Gemini 2.5 Flash Image is built on the Gemini 2.x transformer-based architecture family. It utilizes a unified multimodal training approach that treats visual tokens and text tokens within the same latent space, enabling seamless transitions between understanding an input image and generating a visual response. The model is specifically tuned for distilled inference, reducing the computational overhead typically associated with large-scale vision-language models.

Best For

This model shines in scenarios requiring high-throughput asset generation, such as e-commerce product background variations, social media content scaling, and rapid prototyping for UI/UX concepts. It is also well-suited for applications that combine image analysis with immediate visual feedback, such as describing a scene and then modifying it based on user feedback.

Nano Banana (Gemini 2.5 Flash Image) is available for testing and deployment through Lumenfall’s unified API and interactive playground, allowing you to integrate its fast generational capabilities into your existing workflows alongside other models in the Gemini family.

Try Nano Banana in Playground

Generate images with custom prompts — no API key needed.

Open Playground