800 Marketing Images: Nano Banana Pro Cost Analysis

Complete Analysis: 160,000 tokens for Nano Banana Pro
🖼️ 800 Images ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Nano Banana Pro model with 800 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$53.600000 Total Cost
160,000 Total Tokens
2 minutes, 13.51 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

$53.600000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$53.600000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
160,000Total Tokens
$0.335000Cost per 1K
2,985Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

2m 13s 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

$53.600000
Total Cost
🖼️ 800 Image (Medium) ⚡ 20% Cached 📊 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) $107.200000 Input: $0.000000
Output: $0.000000
Optimized Cost $53.600000 Input: $0.000000
Output: $0.000000
Unit: $53.600000
Fees: $0.000000
Total Savings $53.600000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 160,000 input tokens and 0 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $53.600000
  • Total Cost: $53.600000
  • Cost per 1K tokens: $0.335000 (rounded ~ $0.34)
  • Tokens per dollar: 2,985 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 minutes, 13.51 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Best for high-volume marketing campaigns requiring consistent brand visual identity and reliable output quality.

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✨ Market Recommendations AI Model Registry

← Back to Nano Banana Pro
📋 Active Input Parameters
Input Tokens: 160,000
Output Tokens: 0
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 800 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.029356 Best Value ↓ 99.9% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.035227 (rounded ~ $0.04) ↓ 99.9% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.035227 (rounded ~ $0.04) ↓ 99.9% cheaper
#4 Mistral Large 3
Mistral AI
 $0.058962 (rounded ~ $0.06) ↓ 99.9% cheaper
#5 GPT-5.4 mini
OpenAI
 $0.088068 (rounded ~ $0.09) ↓ 99.8% cheaper
#6 Gemini 3.8 Flash
Google
 $0.088068 (rounded ~ $0.09) ↓ 99.8% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.117424 (rounded ~ $0.12) ↓ 99.8% cheaper
#8 GPT-5.6 Luna
OpenAI
 $0.117424 (rounded ~ $0.12) ↓ 99.8% cheaper
#9 o4-mini
OpenAI
 $0.129166 ↓ 99.8% cheaper
#10 Gemini 3.6 Flash
Google
 $0.176136 (rounded ~ $0.18) ↓ 99.7% cheaper
#11 Gemini 3.5 Flash
Google
 $0.176136 (rounded ~ $0.18) ↓ 99.7% cheaper
#12 GPT-5.3 Codex Spark
OpenAI
 $0.205492 (rounded ~ $0.21) ↓ 99.6% cheaper
#13 Claude Sonnet 5
Anthropic
 $0.234848 (rounded ~ $0.23) ↓ 99.6% cheaper
#14 Gemini 3.1 Flash
Google
 $0.234848 (rounded ~ $0.23) ↓ 99.6% cheaper
#15 GPT-5.6 Terra
OpenAI
 $0.293560 (rounded ~ $0.29) ↓ 99.5% cheaper
#16 Claude Sonnet 4.6
Anthropic
 $0.352272 (rounded ~ $0.35) ↓ 99.3% cheaper
#17 Claude Opus 4.7
Anthropic
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#18 Claude Opus 5
Anthropic
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#19 Claude Opus 4.8
Anthropic
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#20 Claude Opus 4.6
Anthropic
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#21 Gemini 2.5 Pro
Google
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#22 GPT-5.5 Instant
OpenAI
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#23 GPT-5.6 Sol
OpenAI
 $0.587120 (rounded ~ $0.59) ↓ 98.9% cheaper
#24 Gemini 3.1 Pro
Google
 $0.939392 ↓ 98.2% cheaper
#25 Grok 4.3
xAI
 $0.939392 ↓ 98.2% cheaper
#26 Claude Fable 5.1
Anthropic
 $1.152760 (rounded ~ $1.15) ↓ 97.8% cheaper
#27 Claude Mythos 5.1
Anthropic
 $1.152760 (rounded ~ $1.15) ↓ 97.8% cheaper
#28 GPT-5.4
OpenAI
 $1.174240 (rounded ~ $1.17) ↓ 97.8% cheaper
#29 GPT-5.4 Thinking
OpenAI
 $1.174240 (rounded ~ $1.17) ↓ 97.8% cheaper
#30 o3 Deep Research
OpenAI
 $1.174240 (rounded ~ $1.17) ↓ 97.8% cheaper
#31 Claude Fable 5
Anthropic
 $1.174240 (rounded ~ $1.17) ↓ 97.8% cheaper
#32 Claude Mythos 5
Anthropic
 $1.174240 (rounded ~ $1.17) ↓ 97.8% cheaper
#33 GPT-5.5
OpenAI
 $2.348480 (rounded ~ $2.35) ↓ 95.6% cheaper
#34 o3 Pro
OpenAI
 $2.348480 (rounded ~ $2.35) ↓ 95.6% cheaper
#35 GPT-6 Astra
OpenAI
 $4.696960 (rounded ~ $4.70) ↓ 91.2% cheaper
#36 GPT-6 Astra
OpenAI
 $4.696960 (rounded ~ $4.70) ↓ 91.2% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.029356
vs Nano Banana Pro: ↓ 99.9%
🥈

Gemini 3.5 Flash-Lite
Google

$0.035227 (rounded ~ $0.04)
vs Nano Banana Pro: ↓ 99.9%
🥉

Gemini 2.5 Flash
Google

$0.035227 (rounded ~ $0.04)
vs Nano Banana Pro: ↓ 99.9%
#4

Mistral Large 3
Mistral AI

$0.058962 (rounded ~ $0.06)
vs Nano Banana Pro: ↓ 99.9%
#5

GPT-5.4 mini
OpenAI

$0.088068 (rounded ~ $0.09)
vs Nano Banana Pro: ↓ 99.8%
#6

Gemini 3.8 Flash
Google

$0.088068 (rounded ~ $0.09)
vs Nano Banana Pro: ↓ 99.8%
#7

Claude Haiku 4.5
Anthropic

$0.117424 (rounded ~ $0.12)
vs Nano Banana Pro: ↓ 99.8%
#8

GPT-5.6 Luna
OpenAI

$0.117424 (rounded ~ $0.12)
vs Nano Banana Pro: ↓ 99.8%
#9

o4-mini
OpenAI

$0.129166
vs Nano Banana Pro: ↓ 99.8%
#10

Gemini 3.6 Flash
Google

$0.176136 (rounded ~ $0.18)
vs Nano Banana Pro: ↓ 99.7%
#11

Gemini 3.5 Flash
Google

$0.176136 (rounded ~ $0.18)
vs Nano Banana Pro: ↓ 99.7%
#12

GPT-5.3 Codex Spark
OpenAI

$0.205492 (rounded ~ $0.21)
vs Nano Banana Pro: ↓ 99.6%
#13

Claude Sonnet 5
Anthropic

$0.234848 (rounded ~ $0.23)
vs Nano Banana Pro: ↓ 99.6%
#14

Gemini 3.1 Flash
Google

$0.234848 (rounded ~ $0.23)
vs Nano Banana Pro: ↓ 99.6%
#15

GPT-5.6 Terra
OpenAI

$0.293560 (rounded ~ $0.29)
vs Nano Banana Pro: ↓ 99.5%
#16

Claude Sonnet 4.6
Anthropic

$0.352272 (rounded ~ $0.35)
vs Nano Banana Pro: ↓ 99.3%
#17

Claude Opus 4.7
Anthropic

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#18

Claude Opus 5
Anthropic

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#19

Claude Opus 4.8
Anthropic

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#20

Claude Opus 4.6
Anthropic

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#21

Gemini 2.5 Pro
Google

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#22

GPT-5.5 Instant
OpenAI

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#23

GPT-5.6 Sol
OpenAI

$0.587120 (rounded ~ $0.59)
vs Nano Banana Pro: ↓ 98.9%
#24

Gemini 3.1 Pro
Google

$0.939392
vs Nano Banana Pro: ↓ 98.2%
#25

Grok 4.3
xAI

$0.939392
vs Nano Banana Pro: ↓ 98.2%
#26

Claude Fable 5.1
Anthropic

$1.152760 (rounded ~ $1.15)
vs Nano Banana Pro: ↓ 97.8%
#27

Claude Mythos 5.1
Anthropic

$1.152760 (rounded ~ $1.15)
vs Nano Banana Pro: ↓ 97.8%
#28

GPT-5.4
OpenAI

$1.174240 (rounded ~ $1.17)
vs Nano Banana Pro: ↓ 97.8%
#29

GPT-5.4 Thinking
OpenAI

$1.174240 (rounded ~ $1.17)
vs Nano Banana Pro: ↓ 97.8%
#30

o3 Deep Research
OpenAI

$1.174240 (rounded ~ $1.17)
vs Nano Banana Pro: ↓ 97.8%
#31

Claude Fable 5
Anthropic

$1.174240 (rounded ~ $1.17)
vs Nano Banana Pro: ↓ 97.8%
#32

Claude Mythos 5
Anthropic

$1.174240 (rounded ~ $1.17)
vs Nano Banana Pro: ↓ 97.8%
#33

GPT-5.5
OpenAI

$2.348480 (rounded ~ $2.35)
vs Nano Banana Pro: ↓ 95.6%
#34

o3 Pro
OpenAI

$2.348480 (rounded ~ $2.35)
vs Nano Banana Pro: ↓ 95.6%
#35

GPT-6 Astra
OpenAI

$4.696960 (rounded ~ $4.70)
vs Nano Banana Pro: ↓ 91.2%
#36

GPT-6 Astra
OpenAI

$4.696960 (rounded ~ $4.70)
vs Nano Banana Pro: ↓ 91.2%
✨ 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.

For marketing teams, generating 800 images monthly is a significant undertaking that requires more than just raw speed; it demands consistency and reliable output quality. When managing an image generation campaign at this scale, the primary challenge often shifts from prompt drafting to maintaining a cohesive brand visual identity across different platforms and ad formats. Nano Banana Pro excels in these high-volume scenarios by providing predictable, high-fidelity outputs that integrate well into automated creative workflows.

Consistency is the biggest hurdle in high-volume creative production. Using the same style parameters, lighting cues, and composition rules across hundreds of ad variants is essential for brand recognition. Nano Banana Pro allows for rigorous prompt engineering and style reference management, which ensures that your 200th image looks as professional and on-brand as your first. By treating your image generation pipeline as a structured production line, you can significantly reduce the time spent on manual revisions and back-and-forth edits.

Beyond the generation itself, consider how this model handles specific marketing needs like text-to-image adherence and high-resolution output. Whether you are running A/B tests for display ads or creating social media assets, the model’s ability to interpret nuanced instructions—such as specific color palettes or product-focused framing—is what drives ROI. Choosing a model that offers a balance between creative flexibility and output predictability is key to scaling your campaign without sacrificing the creative quality that your audience expects.

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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