Enterprise Image Variation Cost: Nano Banana Pro for 10,000 Product Photos

Complete Analysis: 6,000 tokens for Nano Banana Pro
🖼️ 10000 Images

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

🖼️ Multimodal Input 📊 Batch API
$670.000000 Total Cost
6,000 Total Tokens
5.18 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)
0%
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

$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
6,000Total Tokens
$111.666667Cost per 1K
9Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

5.18s 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) 📊 Batch API
👁️
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 1,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $670.000000
  • Total Cost: $670.000000
  • Cost per 1K tokens: $111.666667 (rounded ~ $111.67)
  • Tokens per dollar: 9 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: 5.18 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Ideal for tasks requiring direct image generation or manipulation with predictable per-image costssuch as generating variations for product catalogs or synthetic data creation.

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: 1,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Images: 10000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Mistral Small 3
Mistral AI
$0.129400 Best Value ↓ 100% cheaper
🥈 Ministral 3 (14B)
Mistral AI
$0.258400 (rounded ~ $0.26) ↓ 100% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.324438 (rounded ~ $0.32) ↓ 100% cheaper
#4 Gemini 2.5 Flash
Google
$0.390200 ↓ 99.9% cheaper
#5 Mistral Large 3
Mistral AI
$0.647250 (rounded ~ $0.65) ↓ 99.9% cheaper
#6 GPT-5.4 mini
OpenAI
$0.973313 (rounded ~ $0.97) ↓ 99.9% cheaper
#7 o4-mini Deep Research
OpenAI
$1.295250 (rounded ~ $1.30) ↓ 99.8% cheaper
#8 Claude Haiku 4.5
Anthropic
$1.296500 (rounded ~ $1.30) ↓ 99.8% cheaper
#9 o4-mini
OpenAI
$1.424775 (rounded ~ $1.42) ↓ 99.8% cheaper
#10 Grok 4.3
xAI
$1.615938 (rounded ~ $1.62) ↓ 99.8% cheaper
#11 Gemini 3.5 Flash
Google
$1.946625 (rounded ~ $1.95) ↓ 99.7% cheaper
#12 GPT-5.3 Codex Spark
OpenAI
$2.275438 (rounded ~ $2.28) ↓ 99.7% cheaper
#13 GPT-5.3 Instant
OpenAI
$2.275438 (rounded ~ $2.28) ↓ 99.7% cheaper
#14 Llama 4 Maverick (400B)
Meta AI
$2.418150 (rounded ~ $2.42) ↓ 99.6% cheaper
#15 Gemini 3.1 Flash
Google
$2.595500 (rounded ~ $2.60) ↓ 99.6% cheaper
#16 Claude Sonnet 4.6
Anthropic
$3.889500 ↓ 99.4% cheaper
#17 Claude Opus 4.7
Anthropic
$6.482500 (rounded ~ $6.48) ↓ 99% cheaper
#18 Claude Opus 4.8
Anthropic
$6.482500 (rounded ~ $6.48) ↓ 99% cheaper
#19 Claude Opus 4.6
Anthropic
$6.482500 (rounded ~ $6.48) ↓ 99% cheaper
#20 Gemini 2.5 Pro
Google
$6.488750 (rounded ~ $6.49) ↓ 99% cheaper
#21 GPT-5.5 Instant
OpenAI
$6.488750 (rounded ~ $6.49) ↓ 99% cheaper
#22 Gemini 3.1 Pro
Google
$10.367000 (rounded ~ $10.37) ↓ 98.5% cheaper
#23 o3 Deep Research
OpenAI
$12.952500 (rounded ~ $12.95) ↓ 98.1% cheaper
#24 GPT-5.4
OpenAI
$12.958750 (rounded ~ $12.96) ↓ 98.1% cheaper
#25 GPT-5.4 Thinking
OpenAI
$12.958750 (rounded ~ $12.96) ↓ 98.1% cheaper
#26 o3 Pro
OpenAI
$25.905000 (rounded ~ $25.91) ↓ 96.1% cheaper
#27 GPT-5.5
OpenAI
$25.917500 (rounded ~ $25.92) ↓ 96.1% cheaper
#28 GPT-5.2 Pro
OpenAI
$27.305250 (rounded ~ $27.31) ↓ 95.9% cheaper
#29 GPT-5.5 Pro
OpenAI
$38.932500 (rounded ~ $38.93) ↓ 94.2% cheaper
#30 GPT-5.5 Pro
OpenAI
$38.932500 (rounded ~ $38.93) ↓ 94.2% cheaper
🏆

Mistral Small 3
Mistral AI

$0.129400
vs Nano Banana Pro: ↓ 100%
🥈

Ministral 3 (14B)
Mistral AI

$0.258400 (rounded ~ $0.26)
vs Nano Banana Pro: ↓ 100%
🥉

Gemini 3.1 Flash Lite
Google

$0.324438 (rounded ~ $0.32)
vs Nano Banana Pro: ↓ 100%
#4

Gemini 2.5 Flash
Google

$0.390200
vs Nano Banana Pro: ↓ 99.9%
#5

Mistral Large 3
Mistral AI

$0.647250 (rounded ~ $0.65)
vs Nano Banana Pro: ↓ 99.9%
#6

GPT-5.4 mini
OpenAI

$0.973313 (rounded ~ $0.97)
vs Nano Banana Pro: ↓ 99.9%
#7

o4-mini Deep Research
OpenAI

$1.295250 (rounded ~ $1.30)
vs Nano Banana Pro: ↓ 99.8%
#8

Claude Haiku 4.5
Anthropic

$1.296500 (rounded ~ $1.30)
vs Nano Banana Pro: ↓ 99.8%
#9

o4-mini
OpenAI

$1.424775 (rounded ~ $1.42)
vs Nano Banana Pro: ↓ 99.8%
#10

Grok 4.3
xAI

$1.615938 (rounded ~ $1.62)
vs Nano Banana Pro: ↓ 99.8%
#11

Gemini 3.5 Flash
Google

$1.946625 (rounded ~ $1.95)
vs Nano Banana Pro: ↓ 99.7%
#12

GPT-5.3 Codex Spark
OpenAI

$2.275438 (rounded ~ $2.28)
vs Nano Banana Pro: ↓ 99.7%
#13

GPT-5.3 Instant
OpenAI

$2.275438 (rounded ~ $2.28)
vs Nano Banana Pro: ↓ 99.7%
#14

Llama 4 Maverick (400B)
Meta AI

$2.418150 (rounded ~ $2.42)
vs Nano Banana Pro: ↓ 99.6%
#15

Gemini 3.1 Flash
Google

$2.595500 (rounded ~ $2.60)
vs Nano Banana Pro: ↓ 99.6%
#16

Claude Sonnet 4.6
Anthropic

$3.889500
vs Nano Banana Pro: ↓ 99.4%
#17

Claude Opus 4.7
Anthropic

$6.482500 (rounded ~ $6.48)
vs Nano Banana Pro: ↓ 99%
#18

Claude Opus 4.8
Anthropic

$6.482500 (rounded ~ $6.48)
vs Nano Banana Pro: ↓ 99%
#19

Claude Opus 4.6
Anthropic

$6.482500 (rounded ~ $6.48)
vs Nano Banana Pro: ↓ 99%
#20

Gemini 2.5 Pro
Google

$6.488750 (rounded ~ $6.49)
vs Nano Banana Pro: ↓ 99%
#21

GPT-5.5 Instant
OpenAI

$6.488750 (rounded ~ $6.49)
vs Nano Banana Pro: ↓ 99%
#22

Gemini 3.1 Pro
Google

$10.367000 (rounded ~ $10.37)
vs Nano Banana Pro: ↓ 98.5%
#23

o3 Deep Research
OpenAI

$12.952500 (rounded ~ $12.95)
vs Nano Banana Pro: ↓ 98.1%
#24

GPT-5.4
OpenAI

$12.958750 (rounded ~ $12.96)
vs Nano Banana Pro: ↓ 98.1%
#25

GPT-5.4 Thinking
OpenAI

$12.958750 (rounded ~ $12.96)
vs Nano Banana Pro: ↓ 98.1%
#26

o3 Pro
OpenAI

$25.905000 (rounded ~ $25.91)
vs Nano Banana Pro: ↓ 96.1%
#27

GPT-5.5
OpenAI

$25.917500 (rounded ~ $25.92)
vs Nano Banana Pro: ↓ 96.1%
#28

GPT-5.2 Pro
OpenAI

$27.305250 (rounded ~ $27.31)
vs Nano Banana Pro: ↓ 95.9%
#29

GPT-5.5 Pro
OpenAI

$38.932500 (rounded ~ $38.93)
vs Nano Banana Pro: ↓ 94.2%
#30

GPT-5.5 Pro
OpenAI

$38.932500 (rounded ~ $38.93)
vs Nano Banana Pro: ↓ 94.2%
✨ 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.

Specialized Image Generation for Product Catalogs

For enterprise technical writers and AI platform leads managing large product catalogs, generating consistent and high-quality image variations is crucial. Google’s Nano Banana Pro model offers a specialized solution designed for such high-volume, image-centric tasks. Its dedicated image generation capabilities, indicated by the ‘caps:image’ attribute, make it a prime candidate for creating multiple variations of product photos efficiently. The ‘pricing:image_fixed’ structure provides predictable costs per image, which is invaluable for enterprise budgeting and forecasting, especially when dealing with tens of thousands of product images. This fixed cost model simplifies cost management compared to token-based pricing for more general multimodal models. When evaluating AI options for product photo variation, consider Nano Banana Pro for its straightforward cost model and specialized focus on image output. Factors like API stability, batch processing efficiency, and the model’s ability to maintain consistent style and quality across a large number of generated assets will be key decision drivers for industrial-scale deployments.

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 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.