Nano Banana Pro Cost per 1,000 Storyboard Frames

Complete Analysis: 0 tokens for Nano Banana Pro
🖼️ 1000 Images

Complete analysis of pricing, performance, and use cases for Google's Nano Banana Pro model with 1000 Images.

🖼️ Multimodal Input
$134.000000 Total Cost
0 Total Tokens
0.18 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

$134.000000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$134.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
0Total Tokens
$0.000000Cost per 1K
0Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

180ms 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

$134.000000
Total Cost
🖼️ 1000 Image (Medium)
👁️
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) $134.000000 Input: $0.000000
Output: $0.000000
Optimized Cost $134.000000 Input: $0.000000
Output: $0.000000
Unit: $134.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

For 0 input tokens and 0 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $134.000000
  • Total Cost: $134.000000
  • Cost per 1K tokens: $0.000000
  • Tokens per dollar: 0 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: 0.18 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Generating high-consistencyrapid storyboard frames for creative production pipelines.

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: 0
Output Tokens: 0
Images: 1000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Nano Banana Pro
🏆 Mistral Small 3
Mistral AI
 $0.051600 (rounded ~ $0.05) Best Value ↓ 100% cheaper
🥈 Ministral 3 (14B)
Mistral AI
 $0.103600 (rounded ~ $0.10) ↓ 99.9% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.129000 (rounded ~ $0.13) ↓ 99.9% cheaper
#4 Gemini 2.5 Flash
Google
 $0.154800 (rounded ~ $0.15) ↓ 99.9% cheaper
#5 Mistral OCR 3
Mistral AI
 $0.200000 ↓ 99.9% cheaper
#6 Llama 4 Maverick (400B)
Meta AI
 $0.241500 (rounded ~ $0.24) ↓ 99.8% cheaper
#7 Mistral Large 3
Mistral AI
 $0.259000 (rounded ~ $0.26) ↓ 99.8% cheaper
#8 Kimi K2.5
Moonshot AI
 $0.309600 ↓ 99.8% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.387000 (rounded ~ $0.39) ↓ 99.7% cheaper
#10 Kimi K2.6
Moonshot AI
 $0.490200 ↓ 99.6% cheaper
#11 o4-mini Deep Research
OpenAI
 $0.516000 (rounded ~ $0.52) ↓ 99.6% cheaper
#12 Claude Haiku 4.5
Anthropic
 $0.516000 (rounded ~ $0.52) ↓ 99.6% cheaper
#13 Gemini 3.1 Flash
Google
 $0.516000 (rounded ~ $0.52) ↓ 99.6% cheaper
#14 o4-mini
OpenAI
 $0.567600 (rounded ~ $0.57) ↓ 99.6% cheaper
#15 Grok 4.3
xAI
 $0.645000 (rounded ~ $0.65) ↓ 99.5% cheaper
#16 Gemini 3.5 Flash
Google
 $0.774000 (rounded ~ $0.77) ↓ 99.4% cheaper
#17 GPT-5.3 Codex Spark
OpenAI
 $0.903000 (rounded ~ $0.90) ↓ 99.3% cheaper
#18 GPT-5.3 Instant
OpenAI
 $0.903000 (rounded ~ $0.90) ↓ 99.3% cheaper
#19 Gemini 2.5 Pro
Google
 $1.290000 ↓ 99% cheaper
#20 Claude Sonnet 4.6
Anthropic
 $1.548000 (rounded ~ $1.55) ↓ 98.8% cheaper
#21 Gemini 3.1 Pro
Google
 $2.064000 (rounded ~ $2.06) ↓ 98.5% cheaper
#22 GPT-5.4
OpenAI
 $2.580000 ↓ 98.1% cheaper
#23 GPT-5.4 Thinking
OpenAI
 $2.580000 ↓ 98.1% cheaper
#24 Claude Opus 4.7
Anthropic
 $2.580000 ↓ 98.1% cheaper
#25 Claude Opus 4.8
Anthropic
 $2.580000 ↓ 98.1% cheaper
#26 Claude Opus 4.6
Anthropic
 $2.580000 ↓ 98.1% cheaper
#27 GPT-5.5 Instant
OpenAI
 $2.580000 ↓ 98.1% cheaper
#28 GPT-5.5
OpenAI
 $5.160000 ↓ 96.1% cheaper
#29 o3 Deep Research
OpenAI
 $5.160000 ↓ 96.1% cheaper
#30 o3 Pro
OpenAI
 $10.320000 ↓ 92.3% cheaper
#31 GPT-5.2 Pro
OpenAI
 $10.836000 (rounded ~ $10.84) ↓ 91.9% cheaper
#32 GPT-5.5 Pro
OpenAI
 $15.480000 ↓ 88.4% cheaper
#33 GPT-5.4 Pro
OpenAI
 $30.960000 ↓ 76.9% cheaper
#34 GPT-5.4 Pro
OpenAI
 $30.960000 ↓ 76.9% cheaper
🏆

Mistral Small 3
Mistral AI

$0.051600 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 100%
🥈

Ministral 3 (14B)
Mistral AI

$0.103600 (rounded ~ $0.10)
vs Nano Banana Pro: ↓ 99.9%
🥉

Gemini 3.1 Flash Lite
Google

$0.129000 (rounded ~ $0.13)
vs Nano Banana Pro: ↓ 99.9%
#4

Gemini 2.5 Flash
Google

$0.154800 (rounded ~ $0.15)
vs Nano Banana Pro: ↓ 99.9%
#5

Mistral OCR 3
Mistral AI

$0.200000
vs Nano Banana Pro: ↓ 99.9%
#6

Llama 4 Maverick (400B)
Meta AI

$0.241500 (rounded ~ $0.24)
vs Nano Banana Pro: ↓ 99.8%
#7

Mistral Large 3
Mistral AI

$0.259000 (rounded ~ $0.26)
vs Nano Banana Pro: ↓ 99.8%
#8

Kimi K2.5
Moonshot AI

$0.309600
vs Nano Banana Pro: ↓ 99.8%
#9

GPT-5.4 mini
OpenAI

$0.387000 (rounded ~ $0.39)
vs Nano Banana Pro: ↓ 99.7%
#10

Kimi K2.6
Moonshot AI

$0.490200
vs Nano Banana Pro: ↓ 99.6%
#11

o4-mini Deep Research
OpenAI

$0.516000 (rounded ~ $0.52)
vs Nano Banana Pro: ↓ 99.6%
#12

Claude Haiku 4.5
Anthropic

$0.516000 (rounded ~ $0.52)
vs Nano Banana Pro: ↓ 99.6%
#13

Gemini 3.1 Flash
Google

$0.516000 (rounded ~ $0.52)
vs Nano Banana Pro: ↓ 99.6%
#14

o4-mini
OpenAI

$0.567600 (rounded ~ $0.57)
vs Nano Banana Pro: ↓ 99.6%
#15

Grok 4.3
xAI

$0.645000 (rounded ~ $0.65)
vs Nano Banana Pro: ↓ 99.5%
#16

Gemini 3.5 Flash
Google

$0.774000 (rounded ~ $0.77)
vs Nano Banana Pro: ↓ 99.4%
#17

GPT-5.3 Codex Spark
OpenAI

$0.903000 (rounded ~ $0.90)
vs Nano Banana Pro: ↓ 99.3%
#18

GPT-5.3 Instant
OpenAI

$0.903000 (rounded ~ $0.90)
vs Nano Banana Pro: ↓ 99.3%
#19

Gemini 2.5 Pro
Google

$1.290000
vs Nano Banana Pro: ↓ 99%
#20

Claude Sonnet 4.6
Anthropic

$1.548000 (rounded ~ $1.55)
vs Nano Banana Pro: ↓ 98.8%
#21

Gemini 3.1 Pro
Google

$2.064000 (rounded ~ $2.06)
vs Nano Banana Pro: ↓ 98.5%
#22

GPT-5.4
OpenAI

$2.580000
vs Nano Banana Pro: ↓ 98.1%
#23

GPT-5.4 Thinking
OpenAI

$2.580000
vs Nano Banana Pro: ↓ 98.1%
#24

Claude Opus 4.7
Anthropic

$2.580000
vs Nano Banana Pro: ↓ 98.1%
#25

Claude Opus 4.8
Anthropic

$2.580000
vs Nano Banana Pro: ↓ 98.1%
#26

Claude Opus 4.6
Anthropic

$2.580000
vs Nano Banana Pro: ↓ 98.1%
#27

GPT-5.5 Instant
OpenAI

$2.580000
vs Nano Banana Pro: ↓ 98.1%
#28

GPT-5.5
OpenAI

$5.160000
vs Nano Banana Pro: ↓ 96.1%
#29

o3 Deep Research
OpenAI

$5.160000
vs Nano Banana Pro: ↓ 96.1%
#30

o3 Pro
OpenAI

$10.320000
vs Nano Banana Pro: ↓ 92.3%
#31

GPT-5.2 Pro
OpenAI

$10.836000 (rounded ~ $10.84)
vs Nano Banana Pro: ↓ 91.9%
#32

GPT-5.5 Pro
OpenAI

$15.480000
vs Nano Banana Pro: ↓ 88.4%
#33

GPT-5.4 Pro
OpenAI

$30.960000
vs Nano Banana Pro: ↓ 76.9%
#34

GPT-5.4 Pro
OpenAI

$30.960000
vs Nano Banana Pro: ↓ 76.9%
✨ 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.

Visualizing Narratives at Scale

For creative teams and indie filmmakers, the transition from script to visual board is often the most significant bottleneck in pre-production. Using Nano Banana Pro allows for rapid generation of storyboard frames directly from scene descriptions, bypassing the need for manual sketching during early iteration cycles.

This model excels in maintaining visual consistency across a sequence, which is vital when you are iterating on dozens of variations for a single narrative beat. Unlike general-purpose image models that may drift stylistically, Nano Banana Pro is optimized to handle structural continuity, ensuring that character features and environmental cues remain coherent throughout your storyboard sequence.

When planning your production pipeline, focus on how the model handles the specific art style and lighting requirements of your project. The key advantage here is the speed of iteration: you can generate full sequences in minutes rather than hours. For technical writers and project leads setting up these pipelines, the primary decision factor is the model’s ability to integrate with downstream animation tools. If your workflow involves immediate hand-off to video rendering, ensure your image generation workflow preserves the metadata or layering structures needed for your next step. This approach transforms the storyboard phase from a static planning stage into a dynamic part of the production pipeline, allowing for more creative freedom and faster alignment between directors and visual artists.

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.