E-commerce Product Vision Tagging: Nano Banana 2 (Tier 1)

Nano Banana 2 vs Gemini 3.1 Flash Lite
Complete Comparison: 100,000 input tokens × 20,000 output tokens
Comparison Mode
🖼️ 500 Images ⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 500 Images, 30% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Nano Banana 2
Google
Gemini 3.1 Flash Lite
Google
Calculation Results (Current Inputs) (500 images, 30% cached)
Input Tokens 100,000 100,000
Output Tokens 20,000 20,000
Cost Breakdown
Input Cost $0.000000Best $0.030438Worst
Output Cost $0.000000 $0.007500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $33.500000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $33.500000 Most Expensive $0.029719 Best Value
Processing Time 1 minute, 49.27 seconds Fastest 9 minutes, 2.67 seconds Slowest
Tokens per Second 1,100Fastest 1,000Slowest
Time to First Token 60ms Best 80ms Worst
Cost per 1K tokens $0.279167Worst $0.000059Best
Tokens per Dollar 3,582Worst Value 17,059,578Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.000000Best $0.062500 (rounded ~ $0.06)Worst
Output Cost / 1M (Base) $0.000000 $0.375000 (rounded ~ $0.38)Worst
Input Cost / 1M (Optimized) $0.000000Best
Optimizations: No optimizations applied
$0.031250 (rounded ~ $0.03)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.000000
Optimizations: No optimizations applied
$0.187500 (rounded ~ $0.19)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
500
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
OCR Support ✗ Not Supported ✓ Supported
Caching Support
30
✗ Not Supported requested ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

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Select AI Model

Nano Banana 2
GoogleMax Context: 8,192 tokens
$0.045 - $0.151 per image (by resolution)
▼
▼
Use Batch API (50% discount)
30%
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

$33.500000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$33.500000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
120,000Total Tokens
$0.279167Cost per 1K
3,582Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 49s Processing Time
1,100 Tokens/Second
60ms Time to First Token
1,100 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Nano Banana 2 Google

$33.500000
Total Cost
🖼️ 500 Image (High) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $33.500000 Input: $0.000000
Output: $0.000000
Optimized Cost $33.500000 Input: $0.000000
Output: $0.000000
Unit: $33.500000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $33.500000
  • Total Cost: $33.500000
  • Cost per 1K tokens: $0.279167
  • Tokens per dollar: 3,582 tokens
  • Context Window: 8192 tokens
  • Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 1,100 tokens per second and 60ms time to first token:

  • Processing Time: 1 minute, 49.27 seconds
  • Latency: 60 milliseconds to first token
  • Base Throughput: 1,100 tokens/second

Best Use Cases

Large scale image categorization for retail apps.

Want this applied to YOUR actual stack?

This calculator shows the math for Nano Banana 2. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

Gemini 3.1 Flash Lite Google 1000000

$0.029719
Total Cost
🖼️ 500 Image (High) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.037938 (rounded ~ $0.04) Input: $0.030438
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.029719 Input: $0.030438
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.008218 (rounded ~ $0.01) 21.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
387,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: High
Tokens: 387,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 20,000 output tokens:

  • Input Cost: $0.030438
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.029719
  • Cost per 1K tokens: $0.000059
  • Tokens per dollar: 17,059,578 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 9 minutes, 2.67 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Large scale image categorization for retail apps.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Nano Banana 2
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 20,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Images: 500 (High Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Nano Banana 2 vs Gemini 3.1 Flash Lite
🏆 Mistral Small 3
Mistral AI
 $0.010388 Best Value ↓ 100% cheaper ↓ 65% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.029719 ↓ 99.9% cheaper Same price
🥉 Gemini 2.5 Flash
Google
 $0.039163 ↓ 99.9% cheaper ↑ 31.8% more
#4 Mistral Large 3
Mistral AI
 $0.052189 (rounded ~ $0.05) ↓ 99.8% cheaper ↑ 75.6% more
#5 GPT-5.4 mini
OpenAI
 $0.089158 ↓ 99.7% cheaper ↑ 200% more
#6 o4-mini Deep Research
OpenAI
 $0.108878 (rounded ~ $0.11) ↓ 99.7% cheaper ↑ 266.4% more
#7 Claude Haiku 4.5
Anthropic
 $0.113878 (rounded ~ $0.11) ↓ 99.7% cheaper ↑ 283.2% more
#8 o4-mini
OpenAI
 $0.119765 ↓ 99.6% cheaper ↑ 303% more
#9 Grok 4.3
xAI
 $0.123597 (rounded ~ $0.12) ↓ 99.6% cheaper ↑ 315.9% more
#10 Gemini 3.5 Flash
Google
 $0.178316 (rounded ~ $0.18) ↓ 99.5% cheaper ↑ 500% more
#11 GPT-5.3 Codex Spark
OpenAI
 $0.225536 (rounded ~ $0.23) ↓ 99.3% cheaper ↑ 658.9% more
#12 GPT-5.3 Instant
OpenAI
 $0.225536 (rounded ~ $0.23) ↓ 99.3% cheaper ↑ 658.9% more
#13 Gemini 3.1 Flash
Google
 $0.237755 (rounded ~ $0.24) ↓ 99.3% cheaper ↑ 700% more
#14 Claude Sonnet 4.6
Anthropic
 $0.341633 (rounded ~ $0.34) ↓ 99% cheaper ↑ 1049.5% more
#15 Claude Opus 4.7
Anthropic
 $0.569388 ↓ 98.3% cheaper ↑ 1815.9% more
#16 Claude Opus 4.8
Anthropic
 $0.569388 ↓ 98.3% cheaper ↑ 1815.9% more
#17 Claude Opus 4.6
Anthropic
 $0.569388 ↓ 98.3% cheaper ↑ 1815.9% more
#18 Gemini 2.5 Pro
Google
 $0.594388 (rounded ~ $0.59) ↓ 98.2% cheaper ↑ 1900% more
#19 GPT-5.5 Instant
OpenAI
 $0.594388 (rounded ~ $0.59) ↓ 98.2% cheaper ↑ 1900% more
#20 Gemini 3.1 Pro
Google
 $0.891020 (rounded ~ $0.89) ↓ 97.3% cheaper ↑ 2898.1% more
#21 o3 Deep Research
OpenAI
 $1.088775 (rounded ~ $1.09) ↓ 96.7% cheaper ↑ 3563.5% more
#22 GPT-5.4
OpenAI
 $1.113775 (rounded ~ $1.11) ↓ 96.7% cheaper ↑ 3647.6% more
#23 GPT-5.4 Thinking
OpenAI
 $1.113775 (rounded ~ $1.11) ↓ 96.7% cheaper ↑ 3647.6% more
#24 o3 Pro
OpenAI
 $2.177550 (rounded ~ $2.18) ↓ 93.5% cheaper ↑ 7227% more
#25 GPT-5.5
OpenAI
 $2.227550 (rounded ~ $2.23) ↓ 93.4% cheaper ↑ 7395.3% more
#26 GPT-5.2 Pro
OpenAI
 $2.706428 (rounded ~ $2.71) ↓ 91.9% cheaper ↑ 9006.6% more
#27 GPT-5.2 Pro
OpenAI
 $2.706428 (rounded ~ $2.71) ↓ 91.9% cheaper ↑ 9006.6% more
🏆

Mistral Small 3
Mistral AI

$0.010388
vs Nano Banana 2: ↓ 100%
vs Gemini 3.1 Flash Lite: ↓ 65%
🥈

Gemini 3.1 Flash Lite
Google

$0.029719
vs Nano Banana 2: ↓ 99.9%
vs Gemini 3.1 Flash Lite: Same
🥉

Gemini 2.5 Flash
Google

$0.039163
vs Nano Banana 2: ↓ 99.9%
vs Gemini 3.1 Flash Lite: ↑ 31.8%
#4

Mistral Large 3
Mistral AI

$0.052189 (rounded ~ $0.05)
vs Nano Banana 2: ↓ 99.8%
vs Gemini 3.1 Flash Lite: ↑ 75.6%
#5

GPT-5.4 mini
OpenAI

$0.089158
vs Nano Banana 2: ↓ 99.7%
vs Gemini 3.1 Flash Lite: ↑ 200%
#6

o4-mini Deep Research
OpenAI

$0.108878 (rounded ~ $0.11)
vs Nano Banana 2: ↓ 99.7%
vs Gemini 3.1 Flash Lite: ↑ 266.4%
#7

Claude Haiku 4.5
Anthropic

$0.113878 (rounded ~ $0.11)
vs Nano Banana 2: ↓ 99.7%
vs Gemini 3.1 Flash Lite: ↑ 283.2%
#8

o4-mini
OpenAI

$0.119765
vs Nano Banana 2: ↓ 99.6%
vs Gemini 3.1 Flash Lite: ↑ 303%
#9

Grok 4.3
xAI

$0.123597 (rounded ~ $0.12)
vs Nano Banana 2: ↓ 99.6%
vs Gemini 3.1 Flash Lite: ↑ 315.9%
#10

Gemini 3.5 Flash
Google

$0.178316 (rounded ~ $0.18)
vs Nano Banana 2: ↓ 99.5%
vs Gemini 3.1 Flash Lite: ↑ 500%
#11

GPT-5.3 Codex Spark
OpenAI

$0.225536 (rounded ~ $0.23)
vs Nano Banana 2: ↓ 99.3%
vs Gemini 3.1 Flash Lite: ↑ 658.9%
#12

GPT-5.3 Instant
OpenAI

$0.225536 (rounded ~ $0.23)
vs Nano Banana 2: ↓ 99.3%
vs Gemini 3.1 Flash Lite: ↑ 658.9%
#13

Gemini 3.1 Flash
Google

$0.237755 (rounded ~ $0.24)
vs Nano Banana 2: ↓ 99.3%
vs Gemini 3.1 Flash Lite: ↑ 700%
#14

Claude Sonnet 4.6
Anthropic

$0.341633 (rounded ~ $0.34)
vs Nano Banana 2: ↓ 99%
vs Gemini 3.1 Flash Lite: ↑ 1049.5%
#15

Claude Opus 4.7
Anthropic

$0.569388
vs Nano Banana 2: ↓ 98.3%
vs Gemini 3.1 Flash Lite: ↑ 1815.9%
#16

Claude Opus 4.8
Anthropic

$0.569388
vs Nano Banana 2: ↓ 98.3%
vs Gemini 3.1 Flash Lite: ↑ 1815.9%
#17

Claude Opus 4.6
Anthropic

$0.569388
vs Nano Banana 2: ↓ 98.3%
vs Gemini 3.1 Flash Lite: ↑ 1815.9%
#18

Gemini 2.5 Pro
Google

$0.594388 (rounded ~ $0.59)
vs Nano Banana 2: ↓ 98.2%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#19

GPT-5.5 Instant
OpenAI

$0.594388 (rounded ~ $0.59)
vs Nano Banana 2: ↓ 98.2%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#20

Gemini 3.1 Pro
Google

$0.891020 (rounded ~ $0.89)
vs Nano Banana 2: ↓ 97.3%
vs Gemini 3.1 Flash Lite: ↑ 2898.1%
#21

o3 Deep Research
OpenAI

$1.088775 (rounded ~ $1.09)
vs Nano Banana 2: ↓ 96.7%
vs Gemini 3.1 Flash Lite: ↑ 3563.5%
#22

GPT-5.4
OpenAI

$1.113775 (rounded ~ $1.11)
vs Nano Banana 2: ↓ 96.7%
vs Gemini 3.1 Flash Lite: ↑ 3647.6%
#23

GPT-5.4 Thinking
OpenAI

$1.113775 (rounded ~ $1.11)
vs Nano Banana 2: ↓ 96.7%
vs Gemini 3.1 Flash Lite: ↑ 3647.6%
#24

o3 Pro
OpenAI

$2.177550 (rounded ~ $2.18)
vs Nano Banana 2: ↓ 93.5%
vs Gemini 3.1 Flash Lite: ↑ 7227%
#25

GPT-5.5
OpenAI

$2.227550 (rounded ~ $2.23)
vs Nano Banana 2: ↓ 93.4%
vs Gemini 3.1 Flash Lite: ↑ 7395.3%
#26

GPT-5.2 Pro
OpenAI

$2.706428 (rounded ~ $2.71)
vs Nano Banana 2: ↓ 91.9%
vs Gemini 3.1 Flash Lite: ↑ 9006.6%
#27

GPT-5.2 Pro
OpenAI

$2.706428 (rounded ~ $2.71)
vs Nano Banana 2: ↓ 91.9%
vs Gemini 3.1 Flash Lite: ↑ 9006.6%
✨ 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.

Large scale image categorization for retail apps.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.