Models
Google
Nano Banana Pro

Google

Nano Banana Pro

Name: Nano Banana Pro
Brand: Google
Price: 0.067 USD
Availability: InStock

AI Image Editing Model

Image Featured #1 Image-to-Image #2 Text-to-Image

Gemini 3 Pro with image generation capabilities. Combines advanced reasoning with the ability to generate and edit images.

Try Model Benchmark examples

1.0M

Context Window

Supported Modes

Text to Image Image Edit

Active

Capabilities

Function calling Structured output Batch Streaming System prompt Tool use Grounding Thinking Code execution Json mode

Details

Model ID

gemini-3-pro-image-preview

Also known as: gemini-3-pro-image

Creator

Google

Family

gemini-3

Released

November 2025

Max Input Images

900

Max Output Tokens

65,536

Ready to integrate?

Access gemini-3-pro-image-preview via our unified API.

Create Account

Available at 4 providers

Starting from

$0.150 /image via fal.ai, Replicate · +2 more

Batch from $0.067/image via Gemini API, Vertex AI

Popular formats

2K (2048×2048)

~$0.150

4K (4096×4096)

~$0.300

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 21,949ms median latency with 69.2% success rate.

Aggregated from real API requests over the last 30 days.

Generation Time

gemini

p95: 32,966ms

vertex

p95: 69,512ms

replicate

p95: 97,656ms

fal

p95: 89,951ms

Success Rate

gemini

69.2%

119 / 172 requests

vertex

48.2%

40 / 83 requests

replicate

84.0%

21 / 25 requests

fal

78.4%

29 / 37 requests

Time to First Byte

gemini

20,033ms

p95: 29,088ms

vertex

40,083ms

p95: 65,755ms

replicate

41,822ms

p95: 97,656ms

fal

42,435ms

p95: 101,196ms

Provider Rankings

#	Provider	p50 Gen Time	p95 Gen Time	Success Rate	TTFB (p50)
1	gemini	21,949ms	32,966ms	69.2%	20,033ms
2	vertex	40,746ms	69,512ms	48.2%	40,083ms
3	replicate	41,822ms	97,656ms	84.0%	41,822ms
4	fal	42,435ms	89,951ms	78.4%	42,435ms

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

Providers & Pricing (5)

Nano Banana Pro is available from 5 providers, with per-image pricing starting at $0.067 through fal.ai.

fal.ai

Text to Image

fal/gemini-3-pro-image-preview

Provider Model ID: fal-ai/gemini-3-pro-image-preview

Output

Image

$0.150 per image

Image 4K

$0.300 per image

Pricing Notes (4)

• Also known as Nano Banana Pro
• $0.15 per image for 1K-2K resolution
• $0.30 per image for 4K resolution (2x standard rate)
• Supports up to 2 reference images simultaneously

View official pricing • As of Jan 26, 2026

fal.ai

Image Edit

fal/gemini-3-pro-image-preview-edit

Provider Model ID: fal-ai/gemini-3-pro-image-preview/edit

Output

Image

$0.150 per image

Image 4K

$0.300 per image

Pricing Notes (4)

• Also known as Nano Banana Pro
• $0.15 per image for 1K-2K resolution
• $0.30 per image for 4K resolution (2x standard rate)
• Supports up to 2 reference images simultaneously

View official pricing • As of Jan 26, 2026

Replicate

Text to Image Image Edit

replicate/gemini-3-pro-image-preview

Provider Model ID: google/nano-banana-pro

Output

Image

$0.150 per image

Image 2K

$0.150 per image

Image 4K

$0.300 per image

Pricing Notes (4)

• Also known as Nano Banana Pro
• $0.15 per image for 1K-2K resolution
• $0.30 per image for 4K resolution
• Supports up to 14 reference images

View official pricing • As of Jan 26, 2026

Gemini API

Text to Image Image Edit

gemini/gemini-3-pro-image-preview

Provider Model ID: gemini-3-pro-image-preview

Input

Token

$2.00 per 1M

Token Cached

$0.200 per 1M

Output

Token text

$12.00 per 1M

Token image

$120.00 per 1M

Pricing Notes (3)

• $0.0011 per input image (560 tokens)
• $0.134 per output image from 1024x1024px (1K) and up to 2048x2048px (2K) (1120 tokens)
• $0.24 per output image up to 4096x4096px (4K) (2000 tokens)

View official pricing • As of Nov 18, 2025

Vertex AI

Text to Image Image Edit

vertex/gemini-3-pro-image-preview

Provider Model ID: gemini-3-pro-image-preview

Input

Token

$2.00 per 1M

Token Cached

$0.200 per 1M

Output

Token text

$12.00 per 1M

Token image

$120.00 per 1M

Pricing Notes (3)

• $0.0011 per input image (560 tokens)
• $0.134 per output image from 1024x1024px (1K) and up to 2048x2048px (2K) (1120 tokens)
• $0.24 per output image up to 4096x4096px (4K) (2000 tokens)

View official pricing • As of Nov 18, 2025

gemini-3-pro-image API OpenAI-compatible

Access Nano Banana Pro via Lumenfall’s OpenAI-compatible API to integrate advanced text-to-image generation and complex image editing capabilities into any application.

Base URL

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

Model

gemini-3-pro-image-preview

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-3-pro-image-preview",

    "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-3-pro-image-preview',

  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-3-pro-image-preview",

    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-3-pro-image-preview" \

  -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-3-pro-image-preview',

  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-3-pro-image-preview",

    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
`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` `2K` `4K` 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"`

2K 10 sizes

Output	`size`		`aspect_ratio` + `resolution`
3129 × 1341	`"3129x1341"`	or	`"21:9"` + `"2K"`
1774 × 2365	`"1774x2365"`	or	`"3:4"` + `"2K"`
2365 × 1774	`"2365x1774"`	or	`"4:3"` + `"2K"`
1832 × 2290	`"1832x2290"`	or	`"4:5"` + `"2K"`
2290 × 1832	`"2290x1832"`	or	`"5:4"` + `"2K"`
1536 × 2731	`"1536x2731"`	or	`"9:16"` + `"2K"`
2731 × 1536	`"2731x1536"`	or	`"16:9"` + `"2K"`
2048 × 2048	`"2048x2048"`	or	`"1:1"` + `"2K"`
1672 × 2508	`"1672x2508"`	or	`"2:3"` + `"2K"`
2508 × 1672	`"2508x1672"`	or	`"3:2"` + `"2K"`

4K 10 sizes

Output	`size`		`aspect_ratio` + `resolution`
3548 × 4730	`"3548x4730"`	or	`"3:4"` + `"4K"`
3345 × 5017	`"3345x5017"`	or	`"2:3"` + `"4K"`
4580 × 3664	`"4580x3664"`	or	`"5:4"` + `"4K"`
4096 × 4096	`"4096x4096"`	or	`"1:1"` + `"4K"`
3072 × 5461	`"3072x5461"`	or	`"9:16"` + `"4K"`
5461 × 3072	`"5461x3072"`	or	`"16:9"` + `"4K"`
4729 × 3547	`"4729x3547"`	or	`"4:3"` + `"4K"`
5016 × 3344	`"5016x3344"`	or	`"3:2"` + `"4K"`
3663 × 4579	`"3663x4579"`	or	`"4:5"` + `"4K"`
6256 × 2681	`"6256x2681"`	or	`"21:9"` + `"4K"`

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
`allow_fallback_model` replicate	boolean	Fallback to another model (currently bytedance/seedream-5) if Nano Banana Pro is at capacity.	T2I Edit
`enable_web_search` fal	boolean	Enable web search for the image generation task. This will allow the model to use the latest information from the web to generate the image.	T2I Edit
`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_filter_level` replicate	string	block_low_and_above is strictest, block_medium_and_above blocks some prompts, block_only_high is most permissive but some prompts will still be blocked `block_low_and_above` `block_medium_and_above` `block_only_high`	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 Pro Benchmarks

Nano Banana Pro leads the industry in image editing with a #1 ranking and 1244 Elo score. In text-to-image generation, it maintains a top-tier position at rank #3 with a 1273 Elo rating, demonstrating superior competitive performance.

Lumenfall Arena

Image Editing

1250 Elo

Lumenfall Arena

Text-to-Image

1275 Elo

Image Editing Landscape

Elo vs Cost

Elo vs Speed

1 without speed data omitted.

Text-to-Image Landscape

Elo vs Cost

Elo vs Speed

10 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”

Nano Banana Pro edited result for Neutral Expression to Genuine Smile

Original image before Nano Banana Pro 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"
}

Nano Banana Pro 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.”

Nano Banana Pro 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.”

Text-to-Image

Text Rendering

View leaderboard

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.”

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.”

#12

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.”

Image Editing

Anime

View leaderboard

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

#12

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.”

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.”

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.”

#13

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.”

#16

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.”

#21

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.”

Nano Banana Pro edited result for Selective Object Swap

Before After

Selective Object Swap

12 models

Image Editing

Edit instruction

“Swap the positions of the blue and yellow blocks”

2 attempts – showing best result

Top Matchups

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

vs Stable Diffusion 3.5 Large

Challenge: Apollo 11: Journey to Tranquility

40% W · 60% L

vs Nano Banana 2

Challenge: Over-the-top cartoon caricature

50% W · 50% L

vs FLUX.2 [dev] Turbo

Challenge: Geometric Composition

0% W · 33% L · 67% T

vs Nano Banana

Challenge: Neutral Expression to Genuine Smile

67% W · 33% L

vs GPT Image 1.5

Challenge: Vintage Cafe Logo

0% W · 100% L

Nano Banana Pro is best for

See all Use Cases

This model excels in photorealism and portraiture, achieving a #1 rank for photorealistic output with a 67.6% win rate and an 80% win rate in portrait categories. While it performs strongly in text rendering at rank #5, it shows lower efficiency for product, branding, and commercial applications where it ranks #15.

#1 of 16

Photorealism

Edit · 68.1% win rate

#1 of 20

Portrait

Gen · 82.4% win rate

#3 of 23

Photorealism

Gen · 78.6% win rate

#5 of 23

Text Rendering

Gen · 61.5% win rate

#4 of 15

Portrait

Edit · 66.7% win rate

#5 of 14

Anime

Edit · 50.0% win rate

Gallery

View all 23 images

Nano Banana Pro FAQ

How much does Nano Banana Pro cost?

Nano Banana Pro starts at $0.067 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

What can Nano Banana Pro do?

Nano Banana Pro supports Function calling, Structured output, Batch, Streaming, System prompt, Tool use, Grounding, Thinking, Code execution, and Json mode. It accepts text, image, audio, video, and file input and produces text and image output.

How do I use Nano Banana Pro via API?

You can use Nano Banana Pro through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "gemini-3-pro-image-preview". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Nano Banana Pro?

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

Overview

Gemini 3 Pro Image Preview is a multimodal model developed by Google that integrates advanced reasoning capabilities with native image generation and editing. Specifically designed to bridge the gap between complex cognitive tasks and visual synthesis, this model allows users to perform interleaved text-and-image workflows within a single session. It is distinctive for its high-density reasoning performance and its ability to process diverse inputs—including audio, video, and files—while outputting both descriptive text and high-fidelity images.

Strengths

Interleaved Reasoning and Synthesis: Unlike models that treat image generation as a separate tool, this model can reason about a prompt’s context and generate images that reflect complex logic or multi-step instructions.
Comprehensive Modality Support: The model accepts a wide array of input types, including video and audio, allowing for “visual-to-visual” workflows such as generating a static image based on a specific scene from a video file.
Structured Output and Tool Use: It excels at generating valid JSON schemas and executing function calls, making it highly effective for automation pipelines where image generation must be triggered by specific data conditions.
Long-Context Reasoning: Inheriting the Gemini family’s strength in context window management, it can maintain consistency across large amounts of input data before producing a visual or textual response.

Limitations

Preview Stability: As a “Preview” release, the model may exhibit inconsistencies in image composition or adherence to highly granular spatial constraints compared to specialized, single-purpose diffusion models.
Output Latency: Due to the computational overhead of combined reasoning and image synthesis, response times may be higher than text-only or small-scale generative models.
Specialized Artistic Control: While capable of high-quality generation, it may lack some of the fine-grained aesthetic control (such as specific seed-based styling or LoRA support) found in dedicated image generation frameworks.

Technical Background

Gemini 3 Pro is built on a transformer-based multimodal architecture designed for native cross-modal understanding. Rather than using a separate text-to-image “wrapper,” the model leverages integrated training objectives that allow visual and textual tokens to be processed in a unified latent space. Key technical features include a “thinking” mode for enhanced chain-of-thought processing and built-in code execution for validating logic before generating final outputs.

Best For

This model is ideal for building sophisticated creative assistants that require deep context, such as storyboard generators that analyze scripts (text or PDF) to create visual frames, or marketing tools that generate ad copy and matching imagery simultaneously. It is also well-suited for developers needing structured data extraction from images coupled with automated visual editing.

Gemini 3 Pro Image Preview is available through Lumenfall’s unified API and playground, allowing for easy integration into existing multimodal applications.

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