Nano Banana Pro Pricing: Cost per 10,000 Image Variations

Complete Analysis: 2,500 tokens for Nano Banana Pro
🖼️ 10000 Images ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Nano Banana Pro model with 10000 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$670.000000 Total Cost
2,500 Total Tokens
2.26 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

$670.000000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$670.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
2,500Total Tokens
$268.000000Cost per 1K
4Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2.26s 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

$670.000000
Total Cost
🖼️ 10000 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) $1340.000000 Input: $0.000000
Output: $0.000000
Optimized Cost $670.000000 Input: $0.000000
Output: $0.000000
Unit: $670.000000
Fees: $0.000000
Total Savings $670.000000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 2,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $670.000000
  • Total Cost: $670.000000
  • Cost per 1K tokens: $268.000000
  • Tokens per dollar: 4 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: 2.26 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Ideal for high-volume e-commerce product photographycatalog enrichmentand generating consistent marketing assets.

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
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 10000 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Mistral Small 3
Mistral AI
 $0.105940 (rounded ~ $0.11) Best Value ↓ 100% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.265226 (rounded ~ $0.27) ↓ 100% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.318621 (rounded ~ $0.32) ↓ 100% cheaper
#4 Gemini 2.5 Flash
Google
 $0.318621 (rounded ~ $0.32) ↓ 100% cheaper
#5 Mistral Large 3
Mistral AI
 $0.529951 ↓ 99.9% cheaper
#6 Gemini 3.8 Flash
Google
 $0.795302 (rounded ~ $0.80) ↓ 99.9% cheaper
#7 GPT-5.4 mini
OpenAI
 $0.795677 (rounded ~ $0.80) ↓ 99.9% cheaper
#8 o4-mini Deep Research
OpenAI
 $1.059903 ↓ 99.8% cheaper
#9 Claude Haiku 4.5
Anthropic
 $1.060403 ↓ 99.8% cheaper
#10 GPT-5.6 Luna
OpenAI
 $1.060903 ↓ 99.8% cheaper
#11 o4-mini
OpenAI
 $1.165893 (rounded ~ $1.17) ↓ 99.8% cheaper
#12 Gemini 3.6 Flash
Google
 $1.590604 ↓ 99.8% cheaper
#13 Gemini 3.5 Flash
Google
 $1.591354 (rounded ~ $1.59) ↓ 99.8% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $1.858329 (rounded ~ $1.86) ↓ 99.7% cheaper
#15 GPT-5.3 Instant
OpenAI
 $1.858329 (rounded ~ $1.86) ↓ 99.7% cheaper
#16 Claude Sonnet 5
Anthropic
 $2.120805 ↓ 99.7% cheaper
#17 Gemini 3.1 Flash
Google
 $2.121805 (rounded ~ $2.12) ↓ 99.7% cheaper
#18 GPT-5.6 Terra
OpenAI
 $2.652256 (rounded ~ $2.65) ↓ 99.6% cheaper
#19 Claude Sonnet 4.6
Anthropic
 $3.181208 (rounded ~ $3.18) ↓ 99.5% cheaper
#20 Claude Opus 4.7
Anthropic
 $5.302013 (rounded ~ $5.30) ↓ 99.2% cheaper
#21 Claude Opus 5
Anthropic
 $5.302013 (rounded ~ $5.30) ↓ 99.2% cheaper
#22 Claude Opus 4.8
Anthropic
 $5.302013 (rounded ~ $5.30) ↓ 99.2% cheaper
#23 Claude Opus 4.6
Anthropic
 $5.302013 (rounded ~ $5.30) ↓ 99.2% cheaper
#24 Gemini 2.5 Pro
Google
 $5.304513 (rounded ~ $5.30) ↓ 99.2% cheaper
#25 GPT-5.5 Instant
OpenAI
 $5.304513 (rounded ~ $5.30) ↓ 99.2% cheaper
#26 GPT-5.6 Sol
OpenAI
 $5.304513 (rounded ~ $5.30) ↓ 99.2% cheaper
#27 Grok 4.3
xAI
 $8.471220 (rounded ~ $8.47) ↓ 98.7% cheaper
#28 Gemini 3.1 Pro
Google
 $8.481220 (rounded ~ $8.48) ↓ 98.7% cheaper
#29 Claude Fable 5.1
Anthropic
 $10.410506 ↓ 98.4% cheaper
#30 Claude Mythos 5.1
Anthropic
 $10.410506 ↓ 98.4% cheaper
#31 o3 Deep Research
OpenAI
 $10.599025 ↓ 98.4% cheaper
#32 GPT-5.4
OpenAI
 $10.601525 (rounded ~ $10.60) ↓ 98.4% cheaper
#33 GPT-5.4 Thinking
OpenAI
 $10.601525 (rounded ~ $10.60) ↓ 98.4% cheaper
#34 Claude Fable 5
Anthropic
 $10.604025 (rounded ~ $10.60) ↓ 98.4% cheaper
#35 Claude Mythos 5
Anthropic
 $10.604025 (rounded ~ $10.60) ↓ 98.4% cheaper
#36 o3 Pro
OpenAI
 $21.198050 (rounded ~ $21.20) ↓ 96.8% cheaper
#37 GPT-5.5
OpenAI
 $21.203050 (rounded ~ $21.20) ↓ 96.8% cheaper
#38 GPT-5.2 Pro
OpenAI
 $22.299953 ↓ 96.7% cheaper
#39 GPT-6 Astra
OpenAI
 $42.416100 (rounded ~ $42.42) ↓ 93.7% cheaper
#40 GPT-6 Astra
OpenAI
 $42.416100 (rounded ~ $42.42) ↓ 93.7% cheaper
🏆

Mistral Small 3
Mistral AI

$0.105940 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 100%
🥈

Gemini 3.1 Flash Lite
Google

$0.265226 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 100%
🥉

Gemini 3.5 Flash-Lite
Google

$0.318621 (rounded ~ $0.32)
vs Nano Banana Pro: ↓ 100%
#4

Gemini 2.5 Flash
Google

$0.318621 (rounded ~ $0.32)
vs Nano Banana Pro: ↓ 100%
#5

Mistral Large 3
Mistral AI

$0.529951
vs Nano Banana Pro: ↓ 99.9%
#6

Gemini 3.8 Flash
Google

$0.795302 (rounded ~ $0.80)
vs Nano Banana Pro: ↓ 99.9%
#7

GPT-5.4 mini
OpenAI

$0.795677 (rounded ~ $0.80)
vs Nano Banana Pro: ↓ 99.9%
#8

o4-mini Deep Research
OpenAI

$1.059903
vs Nano Banana Pro: ↓ 99.8%
#9

Claude Haiku 4.5
Anthropic

$1.060403
vs Nano Banana Pro: ↓ 99.8%
#10

GPT-5.6 Luna
OpenAI

$1.060903
vs Nano Banana Pro: ↓ 99.8%
#11

o4-mini
OpenAI

$1.165893 (rounded ~ $1.17)
vs Nano Banana Pro: ↓ 99.8%
#12

Gemini 3.6 Flash
Google

$1.590604
vs Nano Banana Pro: ↓ 99.8%
#13

Gemini 3.5 Flash
Google

$1.591354 (rounded ~ $1.59)
vs Nano Banana Pro: ↓ 99.8%
#14

GPT-5.3 Codex Spark
OpenAI

$1.858329 (rounded ~ $1.86)
vs Nano Banana Pro: ↓ 99.7%
#15

GPT-5.3 Instant
OpenAI

$1.858329 (rounded ~ $1.86)
vs Nano Banana Pro: ↓ 99.7%
#16

Claude Sonnet 5
Anthropic

$2.120805
vs Nano Banana Pro: ↓ 99.7%
#17

Gemini 3.1 Flash
Google

$2.121805 (rounded ~ $2.12)
vs Nano Banana Pro: ↓ 99.7%
#18

GPT-5.6 Terra
OpenAI

$2.652256 (rounded ~ $2.65)
vs Nano Banana Pro: ↓ 99.6%
#19

Claude Sonnet 4.6
Anthropic

$3.181208 (rounded ~ $3.18)
vs Nano Banana Pro: ↓ 99.5%
#20

Claude Opus 4.7
Anthropic

$5.302013 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#21

Claude Opus 5
Anthropic

$5.302013 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#22

Claude Opus 4.8
Anthropic

$5.302013 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#23

Claude Opus 4.6
Anthropic

$5.302013 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#24

Gemini 2.5 Pro
Google

$5.304513 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#25

GPT-5.5 Instant
OpenAI

$5.304513 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#26

GPT-5.6 Sol
OpenAI

$5.304513 (rounded ~ $5.30)
vs Nano Banana Pro: ↓ 99.2%
#27

Grok 4.3
xAI

$8.471220 (rounded ~ $8.47)
vs Nano Banana Pro: ↓ 98.7%
#28

Gemini 3.1 Pro
Google

$8.481220 (rounded ~ $8.48)
vs Nano Banana Pro: ↓ 98.7%
#29

Claude Fable 5.1
Anthropic

$10.410506
vs Nano Banana Pro: ↓ 98.4%
#30

Claude Mythos 5.1
Anthropic

$10.410506
vs Nano Banana Pro: ↓ 98.4%
#31

o3 Deep Research
OpenAI

$10.599025
vs Nano Banana Pro: ↓ 98.4%
#32

GPT-5.4
OpenAI

$10.601525 (rounded ~ $10.60)
vs Nano Banana Pro: ↓ 98.4%
#33

GPT-5.4 Thinking
OpenAI

$10.601525 (rounded ~ $10.60)
vs Nano Banana Pro: ↓ 98.4%
#34

Claude Fable 5
Anthropic

$10.604025 (rounded ~ $10.60)
vs Nano Banana Pro: ↓ 98.4%
#35

Claude Mythos 5
Anthropic

$10.604025 (rounded ~ $10.60)
vs Nano Banana Pro: ↓ 98.4%
#36

o3 Pro
OpenAI

$21.198050 (rounded ~ $21.20)
vs Nano Banana Pro: ↓ 96.8%
#37

GPT-5.5
OpenAI

$21.203050 (rounded ~ $21.20)
vs Nano Banana Pro: ↓ 96.8%
#38

GPT-5.2 Pro
OpenAI

$22.299953
vs Nano Banana Pro: ↓ 96.7%
#39

GPT-6 Astra
OpenAI

$42.416100 (rounded ~ $42.42)
vs Nano Banana Pro: ↓ 93.7%
#40

GPT-6 Astra
OpenAI

$42.416100 (rounded ~ $42.42)
vs Nano Banana Pro: ↓ 93.7%
✨ 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.

Generating variations for e-commerce product catalogs requires a balance between creative flexibility and high-fidelity output. Nano Banana Pro has emerged as a primary choice for teams needing to scale image production without sacrificing detail. Unlike standard generative models that may struggle with consistent product features across multiple outputs, this model leverages advanced visual reasoning to ensure that generated variations maintain the original product’s geometry, texture, and brand-specific visual language.

For technical teams managing mid-market product pipelines, the main advantage of Nano Banana Pro lies in its ability to handle complex compositional requests—such as re-lighting a product in a studio environment or placing an item in new, contextually relevant settings—while minimizing the need for manual retouching. The model is particularly effective when you need to maintain consistency across a large batch of assets, reducing the overhead of repetitive prompt engineering.

However, teams should consider the trade-off between the high fidelity offered by this model and the latency involved in processing complex, high-resolution variations at scale. While it excels at maintaining structural integrity, it is best utilized within a workflow that includes an automated validation step for branding compliance. For teams producing 10,000 images monthly, integrating this model into an automated image-processing pipeline allows for significant throughput, provided the prompting strategy is optimized to reduce the need for iterative re-generations.

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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