Nano Banana Pro Pricing for 800 Monthly Marketing Images

Complete Analysis: 51,000 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
51,000 Total Tokens
42.68 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
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
51,000Total Tokens
$1.050980Cost per 1K
951Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

42.68s 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

📚 Research & Citations

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 50,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $53.600000
  • Total Cost: $53.600000
  • Cost per 1K tokens: $1.050980
  • Tokens per dollar: 951 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: 42.68 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Ideal for marketing teams requiring consistenthigh-fidelity image generation for catalogs and campaigns at scale.

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✨ Market Recommendations AI Model Registry

← Back to Nano Banana Pro
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 800 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Ministral 3 (14B)
Mistral AI
 $0.019125 Best Value ↓ 100% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.019275 ↓ 100% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.024094 (rounded ~ $0.02) ↓ 100% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.029087 ↓ 99.9% cheaper
#5 Gemini 2.5 Flash
Google
 $0.029087 ↓ 99.9% cheaper
#6 GPT-6 Luna
OpenAI
 $0.038325 (rounded ~ $0.04) ↓ 99.9% cheaper
#7 Mistral Large 3
Mistral AI
 $0.048062 (rounded ~ $0.05) ↓ 99.9% cheaper
#8 Gemini 3.8 Flash
Google
 $0.072093 (rounded ~ $0.07) ↓ 99.9% cheaper
#9 Gemini 3.6 Flash
Google
 $0.072093 (rounded ~ $0.07) ↓ 99.9% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.072281 (rounded ~ $0.07) ↓ 99.9% cheaper
#11 Claude Haiku 5.5
Anthropic
 $0.096124 (rounded ~ $0.10) ↓ 99.8% cheaper
#12 Claude Haiku 4.5
Anthropic
 $0.096124 (rounded ~ $0.10) ↓ 99.8% cheaper
#13 Mistral Large 4
Mistral AI
 $0.130754 ↓ 99.8% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.169530 ↓ 99.7% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.169530 ↓ 99.7% cheaper
#16 Claude Sonnet 5.5
Anthropic
 $0.189934 ↓ 99.6% cheaper
#17 Claude Sonnet 5
Anthropic
 $0.192248 (rounded ~ $0.19) ↓ 99.6% cheaper
#18 Gemini 4 Argon
Google
 $0.192248 (rounded ~ $0.19) ↓ 99.6% cheaper
#19 Gemini 3.1 Flash
Google
 $0.192748 (rounded ~ $0.19) ↓ 99.6% cheaper
#20 GPT-5.6 Terra
OpenAI
 $0.192748 (rounded ~ $0.19) ↓ 99.6% cheaper
#21 Claude Sonnet 4.6
Anthropic
 $0.288372 (rounded ~ $0.29) ↓ 99.5% cheaper
#22 Claude Opus 5.5
Anthropic
 $0.379868 ↓ 99.3% cheaper
#23 GPT-5.6 Sol
OpenAI
 $0.384496 (rounded ~ $0.38) ↓ 99.3% cheaper
#24 Claude Opus 4.7
Anthropic
 $0.480620 ↓ 99.1% cheaper
#25 Claude Opus 5
Anthropic
 $0.480620 ↓ 99.1% cheaper
#26 Claude Opus 4.8
Anthropic
 $0.480620 ↓ 99.1% cheaper
#27 Claude Opus 4.6
Anthropic
 $0.480620 ↓ 99.1% cheaper
#28 Gemini 2.5 Pro
Google
 $0.481870 (rounded ~ $0.48) ↓ 99.1% cheaper
#29 GPT-5.5 Instant
OpenAI
 $0.481870 (rounded ~ $0.48) ↓ 99.1% cheaper
#30 Grok 4.3
xAI
 $0.762992 (rounded ~ $0.76) ↓ 98.6% cheaper
#31 GPT-6.1 Sol
OpenAI
 $0.766492 (rounded ~ $0.77) ↓ 98.6% cheaper
#32 GPT-6 Sol
OpenAI
 $0.766492 (rounded ~ $0.77) ↓ 98.6% cheaper
#33 Gemini 3.1 Pro
Google
 $0.767992 (rounded ~ $0.77) ↓ 98.6% cheaper
#34 Claude Fable 5.1
Anthropic
 $0.943885 (rounded ~ $0.94) ↓ 98.2% cheaper
#35 Claude Mythos 5.1
Anthropic
 $0.943885 (rounded ~ $0.94) ↓ 98.2% cheaper
#36 GPT-5.4
OpenAI
 $0.959990 ↓ 98.2% cheaper
#37 GPT-5.4 Thinking
OpenAI
 $0.959990 ↓ 98.2% cheaper
#38 Claude Fable 5
Anthropic
 $0.961240 (rounded ~ $0.96) ↓ 98.2% cheaper
#39 Claude Mythos 5
Anthropic
 $0.961240 (rounded ~ $0.96) ↓ 98.2% cheaper
#40 GPT-5.5
OpenAI
 $1.919980 ↓ 96.4% cheaper
#41 GPT-5.2 Pro
OpenAI
 $2.034354 (rounded ~ $2.03) ↓ 96.2% cheaper
#42 GPT-6 Astra
OpenAI
 $3.844960 (rounded ~ $3.84) ↓ 92.8% cheaper
#43 GPT-6 Astra
OpenAI
 $3.844960 (rounded ~ $3.84) ↓ 92.8% cheaper
🏆

Ministral 3 (14B)
Mistral AI

$0.019125
vs Nano Banana Pro: ↓ 100%
🥈

GPT-5.6 Luna
OpenAI

$0.019275
vs Nano Banana Pro: ↓ 100%
🥉

Gemini 3.1 Flash Lite
Google

$0.024094 (rounded ~ $0.02)
vs Nano Banana Pro: ↓ 100%
#4

Gemini 3.5 Flash-Lite
Google

$0.029087
vs Nano Banana Pro: ↓ 99.9%
#5

Gemini 2.5 Flash
Google

$0.029087
vs Nano Banana Pro: ↓ 99.9%
#6

GPT-6 Luna
OpenAI

$0.038325 (rounded ~ $0.04)
vs Nano Banana Pro: ↓ 99.9%
#7

Mistral Large 3
Mistral AI

$0.048062 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 99.9%
#8

Gemini 3.8 Flash
Google

$0.072093 (rounded ~ $0.07)
vs Nano Banana Pro: ↓ 99.9%
#9

Gemini 3.6 Flash
Google

$0.072093 (rounded ~ $0.07)
vs Nano Banana Pro: ↓ 99.9%
#10

GPT-5.4 mini
OpenAI

$0.072281 (rounded ~ $0.07)
vs Nano Banana Pro: ↓ 99.9%
#11

Claude Haiku 5.5
Anthropic

$0.096124 (rounded ~ $0.10)
vs Nano Banana Pro: ↓ 99.8%
#12

Claude Haiku 4.5
Anthropic

$0.096124 (rounded ~ $0.10)
vs Nano Banana Pro: ↓ 99.8%
#13

Mistral Large 4
Mistral AI

$0.130754
vs Nano Banana Pro: ↓ 99.8%
#14

GPT-5.3 Codex Spark
OpenAI

$0.169530
vs Nano Banana Pro: ↓ 99.7%
#15

GPT-5.3 Instant
OpenAI

$0.169530
vs Nano Banana Pro: ↓ 99.7%
#16

Claude Sonnet 5.5
Anthropic

$0.189934
vs Nano Banana Pro: ↓ 99.6%
#17

Claude Sonnet 5
Anthropic

$0.192248 (rounded ~ $0.19)
vs Nano Banana Pro: ↓ 99.6%
#18

Gemini 4 Argon
Google

$0.192248 (rounded ~ $0.19)
vs Nano Banana Pro: ↓ 99.6%
#19

Gemini 3.1 Flash
Google

$0.192748 (rounded ~ $0.19)
vs Nano Banana Pro: ↓ 99.6%
#20

GPT-5.6 Terra
OpenAI

$0.192748 (rounded ~ $0.19)
vs Nano Banana Pro: ↓ 99.6%
#21

Claude Sonnet 4.6
Anthropic

$0.288372 (rounded ~ $0.29)
vs Nano Banana Pro: ↓ 99.5%
#22

Claude Opus 5.5
Anthropic

$0.379868
vs Nano Banana Pro: ↓ 99.3%
#23

GPT-5.6 Sol
OpenAI

$0.384496 (rounded ~ $0.38)
vs Nano Banana Pro: ↓ 99.3%
#24

Claude Opus 4.7
Anthropic

$0.480620
vs Nano Banana Pro: ↓ 99.1%
#25

Claude Opus 5
Anthropic

$0.480620
vs Nano Banana Pro: ↓ 99.1%
#26

Claude Opus 4.8
Anthropic

$0.480620
vs Nano Banana Pro: ↓ 99.1%
#27

Claude Opus 4.6
Anthropic

$0.480620
vs Nano Banana Pro: ↓ 99.1%
#28

Gemini 2.5 Pro
Google

$0.481870 (rounded ~ $0.48)
vs Nano Banana Pro: ↓ 99.1%
#29

GPT-5.5 Instant
OpenAI

$0.481870 (rounded ~ $0.48)
vs Nano Banana Pro: ↓ 99.1%
#30

Grok 4.3
xAI

$0.762992 (rounded ~ $0.76)
vs Nano Banana Pro: ↓ 98.6%
#31

GPT-6.1 Sol
OpenAI

$0.766492 (rounded ~ $0.77)
vs Nano Banana Pro: ↓ 98.6%
#32

GPT-6 Sol
OpenAI

$0.766492 (rounded ~ $0.77)
vs Nano Banana Pro: ↓ 98.6%
#33

Gemini 3.1 Pro
Google

$0.767992 (rounded ~ $0.77)
vs Nano Banana Pro: ↓ 98.6%
#34

Claude Fable 5.1
Anthropic

$0.943885 (rounded ~ $0.94)
vs Nano Banana Pro: ↓ 98.2%
#35

Claude Mythos 5.1
Anthropic

$0.943885 (rounded ~ $0.94)
vs Nano Banana Pro: ↓ 98.2%
#36

GPT-5.4
OpenAI

$0.959990
vs Nano Banana Pro: ↓ 98.2%
#37

GPT-5.4 Thinking
OpenAI

$0.959990
vs Nano Banana Pro: ↓ 98.2%
#38

Claude Fable 5
Anthropic

$0.961240 (rounded ~ $0.96)
vs Nano Banana Pro: ↓ 98.2%
#39

Claude Mythos 5
Anthropic

$0.961240 (rounded ~ $0.96)
vs Nano Banana Pro: ↓ 98.2%
#40

GPT-5.5
OpenAI

$1.919980
vs Nano Banana Pro: ↓ 96.4%
#41

GPT-5.2 Pro
OpenAI

$2.034354 (rounded ~ $2.03)
vs Nano Banana Pro: ↓ 96.2%
#42

GPT-6 Astra
OpenAI

$3.844960 (rounded ~ $3.84)
vs Nano Banana Pro: ↓ 92.8%
#43

GPT-6 Astra
OpenAI

$3.844960 (rounded ~ $3.84)
vs Nano Banana Pro: ↓ 92.8%
✨ 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 managing a steady cadence of visual assets, Nano Banana Pro offers a specialized pathway for image generation. Unlike general-purpose language models, this architecture is optimized for high-fidelity visual rendering, making it a natural choice for teams needing to scale from 200 images per week to larger campaign requirements without sacrificing artistic quality.

When deploying Nano Banana Pro, your primary consideration should be the balance between prompt specificity and generation speed. The model excels at interpreting complex, multi-modal instructions that include both stylistic guides and structural requirements. For mid-market companies, the key benefit is the reduction in manual iteration time; because the model is natively multimodal, it handles the translation from marketing copy to visual representation with higher adherence to brand guidelines.

Consider how your workflow integrates this model. If your campaign relies on consistency across variations—such as maintaining a specific color palette or composition style across hundreds of catalog items—the model’s reasoning capabilities help maintain stability. Evaluate whether your team requires the model’s ability to edit existing images versus generating them from scratch, as this dictates the complexity of your prompts. For high-volume pipelines, focus on establishing a clear prompt library that leverages the model’s strengths in interpreting descriptive text, ensuring consistent output quality across your 800-image monthly volume.

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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