Nano Banana Pro Cost for 500 Product Image Variations

Complete Analysis: 501,000 tokens for Nano Banana Pro
🖼️ 500 Images ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Nano Banana Pro model with 500 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$33.500000 Total Cost
501,000 Total Tokens
6 minutes, 57.68 seconds Processing Time

Click Recalculate to update after making changes

Select AI Model

Nano Banana Pro
GoogleMax Context: 4,096 tokens
$0.134 (std) / $0.24 (HD) / $0.48 (4K) per image
▼
▼
Use Batch API (50% discount)
20%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Will auto-convert to minutes for Voxtral models (9000 tokens = 1 min)
$0.067 per 1,000 pixels

Calculate Token Costs

$33.500000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$33.500000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
501,000Total Tokens
$0.066866Cost per 1K
14,955Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 57s Processing Time
1,200 Tokens/Second
50ms Time to First Token
1,200 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing

Nano Banana Pro Google

$33.500000
Total Cost
🖼️ 500 Image (Medium) ⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $67.000000 Input: $0.000000
Output: $0.000000
Optimized Cost $33.500000 Input: $0.000000
Output: $0.000000
Unit: $33.500000
Fees: $0.000000
Total Savings $33.500000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $33.500000
  • Total Cost: $33.500000
  • Cost per 1K tokens: $0.066866 (rounded ~ $0.07)
  • Tokens per dollar: 14,955 tokens
  • Context Window: 4096 tokens
  • Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 1,200 tokens per second and 50ms time to first token:

  • Processing Time: 6 minutes, 57.68 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Ideal for high-fidelityphotorealistic e-commerce product variations where material consistency and lighting control are paramount.

Want this applied to YOUR actual stack?

This calculator shows the math for Nano Banana Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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✨ Market Recommendations AI Model Registry

← Back to Nano Banana Pro
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 500 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.039223 Best Value ↓ 99.9% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.047242 (rounded ~ $0.05) ↓ 99.9% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.047242 (rounded ~ $0.05) ↓ 99.9% cheaper
#4 Gemini 3.8 Flash
Google
 $0.117480 (rounded ~ $0.12) ↓ 99.6% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.156890 (rounded ~ $0.16) ↓ 99.5% cheaper
#6 Gemini 3.6 Flash
Google
 $0.234960 (rounded ~ $0.23) ↓ 99.3% cheaper
#7 Gemini 3.5 Flash
Google
 $0.235335 (rounded ~ $0.24) ↓ 99.3% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.313280 (rounded ~ $0.31) ↓ 99.1% cheaper
#9 Gemini 3.1 Flash
Google
 $0.313780 (rounded ~ $0.31) ↓ 99.1% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.392225 (rounded ~ $0.39) ↓ 98.8% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.469920 ↓ 98.6% cheaper
#12 Claude Opus 4.7
Anthropic
 $0.783200 (rounded ~ $0.78) ↓ 97.7% cheaper
#13 Claude Opus 5
Anthropic
 $0.783200 (rounded ~ $0.78) ↓ 97.7% cheaper
#14 Claude Opus 4.8
Anthropic
 $0.783200 (rounded ~ $0.78) ↓ 97.7% cheaper
#15 Claude Opus 4.6
Anthropic
 $0.783200 (rounded ~ $0.78) ↓ 97.7% cheaper
#16 Gemini 2.5 Pro
Google
 $0.784450 (rounded ~ $0.78) ↓ 97.7% cheaper
#17 GPT-5.6 Sol
OpenAI
 $0.784450 (rounded ~ $0.78) ↓ 97.7% cheaper
#18 Grok 4.3
xAI
 $1.247120 (rounded ~ $1.25) ↓ 96.3% cheaper
#19 Gemini 3.1 Pro
Google
 $1.252120 (rounded ~ $1.25) ↓ 96.3% cheaper
#20 Claude Fable 5.1
Anthropic
 $1.537975 (rounded ~ $1.54) ↓ 95.4% cheaper
#21 Claude Mythos 5.1
Anthropic
 $1.537975 (rounded ~ $1.54) ↓ 95.4% cheaper
#22 GPT-5.4
OpenAI
 $1.565150 (rounded ~ $1.57) ↓ 95.3% cheaper
#23 GPT-5.4 Thinking
OpenAI
 $1.565150 (rounded ~ $1.57) ↓ 95.3% cheaper
#24 Claude Fable 5
Anthropic
 $1.566400 (rounded ~ $1.57) ↓ 95.3% cheaper
#25 Claude Mythos 5
Anthropic
 $1.566400 (rounded ~ $1.57) ↓ 95.3% cheaper
#26 GPT-5.5
OpenAI
 $3.130300 ↓ 90.7% cheaper
#27 GPT-6 Astra
OpenAI
 $6.265600 (rounded ~ $6.27) ↓ 81.3% cheaper
#28 GPT-6 Astra
OpenAI
 $6.265600 (rounded ~ $6.27) ↓ 81.3% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.039223
vs Nano Banana Pro: ↓ 99.9%
🥈

Gemini 3.5 Flash-Lite
Google

$0.047242 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 99.9%
🥉

Gemini 2.5 Flash
Google

$0.047242 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 99.9%
#4

Gemini 3.8 Flash
Google

$0.117480 (rounded ~ $0.12)
vs Nano Banana Pro: ↓ 99.6%
#5

GPT-5.6 Luna
OpenAI

$0.156890 (rounded ~ $0.16)
vs Nano Banana Pro: ↓ 99.5%
#6

Gemini 3.6 Flash
Google

$0.234960 (rounded ~ $0.23)
vs Nano Banana Pro: ↓ 99.3%
#7

Gemini 3.5 Flash
Google

$0.235335 (rounded ~ $0.24)
vs Nano Banana Pro: ↓ 99.3%
#8

Claude Sonnet 5
Anthropic

$0.313280 (rounded ~ $0.31)
vs Nano Banana Pro: ↓ 99.1%
#9

Gemini 3.1 Flash
Google

$0.313780 (rounded ~ $0.31)
vs Nano Banana Pro: ↓ 99.1%
#10

GPT-5.6 Terra
OpenAI

$0.392225 (rounded ~ $0.39)
vs Nano Banana Pro: ↓ 98.8%
#11

Claude Sonnet 4.6
Anthropic

$0.469920
vs Nano Banana Pro: ↓ 98.6%
#12

Claude Opus 4.7
Anthropic

$0.783200 (rounded ~ $0.78)
vs Nano Banana Pro: ↓ 97.7%
#13

Claude Opus 5
Anthropic

$0.783200 (rounded ~ $0.78)
vs Nano Banana Pro: ↓ 97.7%
#14

Claude Opus 4.8
Anthropic

$0.783200 (rounded ~ $0.78)
vs Nano Banana Pro: ↓ 97.7%
#15

Claude Opus 4.6
Anthropic

$0.783200 (rounded ~ $0.78)
vs Nano Banana Pro: ↓ 97.7%
#16

Gemini 2.5 Pro
Google

$0.784450 (rounded ~ $0.78)
vs Nano Banana Pro: ↓ 97.7%
#17

GPT-5.6 Sol
OpenAI

$0.784450 (rounded ~ $0.78)
vs Nano Banana Pro: ↓ 97.7%
#18

Grok 4.3
xAI

$1.247120 (rounded ~ $1.25)
vs Nano Banana Pro: ↓ 96.3%
#19

Gemini 3.1 Pro
Google

$1.252120 (rounded ~ $1.25)
vs Nano Banana Pro: ↓ 96.3%
#20

Claude Fable 5.1
Anthropic

$1.537975 (rounded ~ $1.54)
vs Nano Banana Pro: ↓ 95.4%
#21

Claude Mythos 5.1
Anthropic

$1.537975 (rounded ~ $1.54)
vs Nano Banana Pro: ↓ 95.4%
#22

GPT-5.4
OpenAI

$1.565150 (rounded ~ $1.57)
vs Nano Banana Pro: ↓ 95.3%
#23

GPT-5.4 Thinking
OpenAI

$1.565150 (rounded ~ $1.57)
vs Nano Banana Pro: ↓ 95.3%
#24

Claude Fable 5
Anthropic

$1.566400 (rounded ~ $1.57)
vs Nano Banana Pro: ↓ 95.3%
#25

Claude Mythos 5
Anthropic

$1.566400 (rounded ~ $1.57)
vs Nano Banana Pro: ↓ 95.3%
#26

GPT-5.5
OpenAI

$3.130300
vs Nano Banana Pro: ↓ 90.7%
#27

GPT-6 Astra
OpenAI

$6.265600 (rounded ~ $6.27)
vs Nano Banana Pro: ↓ 81.3%
#28

GPT-6 Astra
OpenAI

$6.265600 (rounded ~ $6.27)
vs Nano Banana Pro: ↓ 81.3%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Why Nano Banana Pro for Product Variations?

For e-commerce teams, the shift toward AI-generated visual content is no longer about novelty—it is about operational scale. Generating five variations for every product photo allows you to A/B test lifestyle contexts, seasonal backdrops, and environmental staging without the overhead of repeated studio shoots. Nano Banana Pro has emerged as a specialized tool for this specific workload, prioritizing photorealistic rendering and material consistency which are critical when you are selling physical goods.

The core advantage of using a dedicated image generation model for product catalogs is the ability to maintain the structural integrity of the product while pivoting the scene. Unlike general-purpose models that may hallucinate product features or struggle with complex surfaces like glass or metal, Nano Banana Pro is tuned for high-fidelity material representation. This capability ensures that your variations look like genuine photography rather than digitally manipulated composites, which is a key requirement for maintaining customer trust in competitive marketplaces.

When automating at a scale of 500 variations, the workflow integration becomes as important as the visual quality. The model excels in batch-processing environments, allowing developers to pipe base product imagery through automated pipelines that handle lighting adjustment and background replacement seamlessly. By focusing on consistency across these variations, you reduce the need for manual retouches, effectively streamlining the path from product ingestion to marketplace listing. For developers, this means building a more reliable pipeline that minimizes the manual QA bottleneck typically associated with large-volume catalog refreshes.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How are image tokens calculated?
Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.

Related model pricing

Nano Banana Pro currently costs n/a / n/a per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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