Nano Banana Pro Pricing for 400 Marketing Images Weekly

Complete Analysis: 42,000 tokens for Nano Banana Pro
🖼️ 400 Images ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Google's Nano Banana Pro model with 400 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$26.800000 Total Cost
42,000 Total Tokens
35.18 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
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

$26.800000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$26.800000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
42,000Total Tokens
$0.638095Cost per 1K
1,567Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

35.18s 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Nano Banana Pro Google

$26.800000
Total Cost
🖼️ 400 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) $53.600000 Input: $0.000000
Output: $0.000000
Optimized Cost $26.800000 Input: $0.000000
Output: $0.000000
Unit: $26.800000
Fees: $0.000000
Total Savings $26.800000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 40,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $26.800000
  • Total Cost: $26.800000
  • Cost per 1K tokens: $0.638095 (rounded ~ $0.64)
  • Tokens per dollar: 1,567 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: 35.18 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Ideal for dedicated marketing asset generation pipelines requiring high visual consistency and straightforward integration.

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to Nano Banana Pro
📋 Active Input Parameters
Input Tokens: 40,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 400 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Ministral 3 (14B)
Mistral AI
 $0.010302 Best Value ↓ 100% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.010602 ↓ 100% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.010702 ↓ 100% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.013378 (rounded ~ $0.01) ↓ 100% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.016404 (rounded ~ $0.02) ↓ 99.9% cheaper
#6 Gemini 2.5 Flash
Google
 $0.016404 (rounded ~ $0.02) ↓ 99.9% cheaper
#7 Mistral Large 3
Mistral AI
 $0.026256 (rounded ~ $0.03) ↓ 99.9% cheaper
#8 Gemini 3.8 Flash
Google
 $0.039759 ↓ 99.9% cheaper
#9 Gemini 3.6 Flash
Google
 $0.039759 ↓ 99.9% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.040134 ↓ 99.9% cheaper
#11 Claude Haiku 5.5
Anthropic
 $0.053012 (rounded ~ $0.05) ↓ 99.8% cheaper
#12 Claude Haiku 4.5
Anthropic
 $0.053012 (rounded ~ $0.05) ↓ 99.8% cheaper
#13 Mistral Large 4
Mistral AI
 $0.071466 (rounded ~ $0.07) ↓ 99.7% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.095396 (rounded ~ $0.10) ↓ 99.6% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.095396 (rounded ~ $0.10) ↓ 99.6% cheaper
#16 Claude Sonnet 5.5
Anthropic
 $0.104792 (rounded ~ $0.10) ↓ 99.6% cheaper
#17 Claude Sonnet 5
Anthropic
 $0.106024 (rounded ~ $0.11) ↓ 99.6% cheaper
#18 Gemini 4 Argon
Google
 $0.106024 (rounded ~ $0.11) ↓ 99.6% cheaper
#19 Gemini 3.1 Flash
Google
 $0.107024 (rounded ~ $0.11) ↓ 99.6% cheaper
#20 GPT-5.6 Terra
OpenAI
 $0.107024 (rounded ~ $0.11) ↓ 99.6% cheaper
#21 Claude Sonnet 4.6
Anthropic
 $0.159036 ↓ 99.4% cheaper
#22 Claude Opus 5.5
Anthropic
 $0.209584 ↓ 99.2% cheaper
#23 GPT-6.1 Sol
OpenAI
 $0.212048 (rounded ~ $0.21) ↓ 99.2% cheaper
#24 GPT-6 Sol
OpenAI
 $0.212048 (rounded ~ $0.21) ↓ 99.2% cheaper
#25 GPT-5.6 Sol
OpenAI
 $0.212048 (rounded ~ $0.21) ↓ 99.2% cheaper
#26 Claude Opus 4.7
Anthropic
 $0.265060 (rounded ~ $0.27) ↓ 99% cheaper
#27 Claude Opus 5
Anthropic
 $0.265060 (rounded ~ $0.27) ↓ 99% cheaper
#28 Claude Opus 4.8
Anthropic
 $0.265060 (rounded ~ $0.27) ↓ 99% cheaper
#29 Claude Opus 4.6
Anthropic
 $0.265060 (rounded ~ $0.27) ↓ 99% cheaper
#30 GPT-5.4
OpenAI
 $0.267560 (rounded ~ $0.27) ↓ 99% cheaper
#31 GPT-5.4 Thinking
OpenAI
 $0.267560 (rounded ~ $0.27) ↓ 99% cheaper
#32 Gemini 2.5 Pro
Google
 $0.267560 (rounded ~ $0.27) ↓ 99% cheaper
#33 GPT-5.5 Instant
OpenAI
 $0.267560 (rounded ~ $0.27) ↓ 99% cheaper
#34 Grok 4.3
xAI
 $0.412096 (rounded ~ $0.41) ↓ 98.5% cheaper
#35 Gemini 3.1 Pro
Google
 $0.422096 (rounded ~ $0.42) ↓ 98.4% cheaper
#36 Claude Fable 5.1
Anthropic
 $0.520880 ↓ 98.1% cheaper
#37 Claude Mythos 5.1
Anthropic
 $0.520880 ↓ 98.1% cheaper
#38 Claude Fable 5
Anthropic
 $0.530120 ↓ 98% cheaper
#39 Claude Mythos 5
Anthropic
 $0.530120 ↓ 98% cheaper
#40 GPT-5.5
OpenAI
 $0.535120 (rounded ~ $0.54) ↓ 98% cheaper
#41 GPT-6 Astra
OpenAI
 $1.060240 ↓ 96% cheaper
#42 GPT-5.2 Pro
OpenAI
 $1.144752 (rounded ~ $1.14) ↓ 95.7% cheaper
#43 GPT-5.2 Pro
OpenAI
 $1.144752 (rounded ~ $1.14) ↓ 95.7% cheaper
🏆

Ministral 3 (14B)
Mistral AI

$0.010302
vs Nano Banana Pro: ↓ 100%
🥈

GPT-6 Luna
OpenAI

$0.010602
vs Nano Banana Pro: ↓ 100%
🥉

GPT-5.6 Luna
OpenAI

$0.010702
vs Nano Banana Pro: ↓ 100%
#4

Gemini 3.1 Flash Lite
Google

$0.013378 (rounded ~ $0.01)
vs Nano Banana Pro: ↓ 100%
#5

Gemini 3.5 Flash-Lite
Google

$0.016404 (rounded ~ $0.02)
vs Nano Banana Pro: ↓ 99.9%
#6

Gemini 2.5 Flash
Google

$0.016404 (rounded ~ $0.02)
vs Nano Banana Pro: ↓ 99.9%
#7

Mistral Large 3
Mistral AI

$0.026256 (rounded ~ $0.03)
vs Nano Banana Pro: ↓ 99.9%
#8

Gemini 3.8 Flash
Google

$0.039759
vs Nano Banana Pro: ↓ 99.9%
#9

Gemini 3.6 Flash
Google

$0.039759
vs Nano Banana Pro: ↓ 99.9%
#10

GPT-5.4 mini
OpenAI

$0.040134
vs Nano Banana Pro: ↓ 99.9%
#11

Claude Haiku 5.5
Anthropic

$0.053012 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 99.8%
#12

Claude Haiku 4.5
Anthropic

$0.053012 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 99.8%
#13

Mistral Large 4
Mistral AI

$0.071466 (rounded ~ $0.07)
vs Nano Banana Pro: ↓ 99.7%
#14

GPT-5.3 Codex Spark
OpenAI

$0.095396 (rounded ~ $0.10)
vs Nano Banana Pro: ↓ 99.6%
#15

GPT-5.3 Instant
OpenAI

$0.095396 (rounded ~ $0.10)
vs Nano Banana Pro: ↓ 99.6%
#16

Claude Sonnet 5.5
Anthropic

$0.104792 (rounded ~ $0.10)
vs Nano Banana Pro: ↓ 99.6%
#17

Claude Sonnet 5
Anthropic

$0.106024 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 99.6%
#18

Gemini 4 Argon
Google

$0.106024 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 99.6%
#19

Gemini 3.1 Flash
Google

$0.107024 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 99.6%
#20

GPT-5.6 Terra
OpenAI

$0.107024 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 99.6%
#21

Claude Sonnet 4.6
Anthropic

$0.159036
vs Nano Banana Pro: ↓ 99.4%
#22

Claude Opus 5.5
Anthropic

$0.209584
vs Nano Banana Pro: ↓ 99.2%
#23

GPT-6.1 Sol
OpenAI

$0.212048 (rounded ~ $0.21)
vs Nano Banana Pro: ↓ 99.2%
#24

GPT-6 Sol
OpenAI

$0.212048 (rounded ~ $0.21)
vs Nano Banana Pro: ↓ 99.2%
#25

GPT-5.6 Sol
OpenAI

$0.212048 (rounded ~ $0.21)
vs Nano Banana Pro: ↓ 99.2%
#26

Claude Opus 4.7
Anthropic

$0.265060 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#27

Claude Opus 5
Anthropic

$0.265060 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#28

Claude Opus 4.8
Anthropic

$0.265060 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#29

Claude Opus 4.6
Anthropic

$0.265060 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#30

GPT-5.4
OpenAI

$0.267560 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#31

GPT-5.4 Thinking
OpenAI

$0.267560 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#32

Gemini 2.5 Pro
Google

$0.267560 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#33

GPT-5.5 Instant
OpenAI

$0.267560 (rounded ~ $0.27)
vs Nano Banana Pro: ↓ 99%
#34

Grok 4.3
xAI

$0.412096 (rounded ~ $0.41)
vs Nano Banana Pro: ↓ 98.5%
#35

Gemini 3.1 Pro
Google

$0.422096 (rounded ~ $0.42)
vs Nano Banana Pro: ↓ 98.4%
#36

Claude Fable 5.1
Anthropic

$0.520880
vs Nano Banana Pro: ↓ 98.1%
#37

Claude Mythos 5.1
Anthropic

$0.520880
vs Nano Banana Pro: ↓ 98.1%
#38

Claude Fable 5
Anthropic

$0.530120
vs Nano Banana Pro: ↓ 98%
#39

Claude Mythos 5
Anthropic

$0.530120
vs Nano Banana Pro: ↓ 98%
#40

GPT-5.5
OpenAI

$0.535120 (rounded ~ $0.54)
vs Nano Banana Pro: ↓ 98%
#41

GPT-6 Astra
OpenAI

$1.060240
vs Nano Banana Pro: ↓ 96%
#42

GPT-5.2 Pro
OpenAI

$1.144752 (rounded ~ $1.14)
vs Nano Banana Pro: ↓ 95.7%
#43

GPT-5.2 Pro
OpenAI

$1.144752 (rounded ~ $1.14)
vs Nano Banana Pro: ↓ 95.7%
✨ 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.

Optimizing Marketing Asset Production

For marketing teams managing small-scale image campaigns, selecting a model that balances creative control with operational efficiency is critical. Nano Banana Pro is designed to handle image-heavy workloads, making it a strong candidate for teams generating product variations or blog illustrations at a consistent weekly cadence.

Technical writers and content strategists should prioritize this model when the primary goal is high-quality image generation that requires minimal prompt engineering to maintain brand alignment. Its ability to process visual creative tasks directly within the generation pipeline reduces the need for external post-processing tools, streamlining the creative workflow from concept to asset delivery.

When evaluating Nano Banana Pro for a 400-image weekly workload, consider the latency and consistency of generation. Because this model is optimized for image-centric tasks, it avoids the overhead associated with general-purpose multimodal models that might perform unnecessary reasoning steps. For developers building custom asset-generation tools, the model’s direct integration capabilities allow for seamless incorporation into existing CI/CD pipelines, ensuring that marketing assets are generated, tagged, and ready for deployment without manual intervention.

Ultimately, choose this model when your priority is dedicated image-generation performance rather than general-purpose multimodal interaction. It is particularly well-suited for repetitive, batch-oriented campaigns where maintaining a consistent visual style across hundreds of images is more important than complex reasoning or long-context document analysis.

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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