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 $0.974000 (rounded ~ 0.97)Worst $0.048700 (rounded ~ 0.05)Best
Output Cost $0.240000Worst $0.008000 (rounded ~ 0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.214000 (rounded ~ 1.21) Most Expensive $0.043551 (rounded ~ 0.04) Best Value
Processing Time 8 minutes, 13.00 seconds Fastest 9 minutes, 2.00 seconds Slowest
Tokens per Second 1,100Fastest 1,000Slowest
Time to First Token 60ms Best 80ms Worst
Cost per 1K tokens $0.002394 (rounded ~ 0.00)Worst $0.000086Best
Tokens per Dollar 417,628Worst Value 11,641,524Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.000000Worst $0.100000Best
Output Cost / 1M (Base) $12.000000Worst $0.400000Best
Input Cost / 1M (Optimized) $2.000000Worst
Optimizations: No optimizations applied
$0.050000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $12.000000Worst
Optimizations: No optimizations applied
$0.200000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
500
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
30
✗ Not Supported requested ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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All other parameters will be preserved from the current comparison.

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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 8,192 tokens. Budgeting mode active.

Select AI Model

Nano Banana 2
GoogleMax Context: 8,192 tokens
$2 / $12 per 1M tokens
▼
▼
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

$1.214000 Total Cost
$0.974000 Input Cost
$0.240000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
507,000Total Tokens
$0.002394Cost per 1K
417,628Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

8m 13s Processing Time
1,100 Tokens/Second
60ms Time to First Token
1,028 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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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

$1.214000 (rounded ~ 1.21)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 8,192 tokens. Budgeting mode active.
🖼️ 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) $1.214000 (rounded ~ 1.21) Input: $0.974000 (rounded ~ 0.97)
Output: $0.240000
Optimized Cost $1.214000 (rounded ~ 1.21) Input: $0.974000 (rounded ~ 0.97)
Output: $0.240000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
387,000 tokens

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: $0.974000 (rounded ~ 0.97)
  • Output Cost: $0.240000
  • Total Cost: $1.214000 (rounded ~ 1.21)
  • Cost per 1K tokens: $0.002394 (rounded ~ 0.00)
  • Tokens per dollar: 417,628 tokens
  • Context Window: 8192 tokens

Speed & Performance Analysis

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

  • Processing Time: 8 minutes, 13.00 seconds
  • Latency: 60 milliseconds to first token
  • Base Throughput: 1,100 tokens/second
  • Effective Throughput: 1,028 tokens/second (temperature-adjusted)

Best Use Cases

Large scale image categorization for retail apps.

Gemini 3.1 Flash Lite Google 1000000

$0.043551 (rounded ~ 0.04)
Total Cost
🖼️ 500 Image (High) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.056700 (rounded ~ 0.06) Input: $0.048700 (rounded ~ 0.05)
Output: $0.008000 (rounded ~ 0.01)
Optimized Cost $0.043551 (rounded ~ 0.04) Input: $0.048700 (rounded ~ 0.05)
Output: $0.008000 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.013149 (rounded ~ 0.01) 23.2% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
387,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Premium
tier2 pricing based on 0 tokens

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: $0.048700 (rounded ~ 0.05)
  • Output Cost: $0.008000 (rounded ~ 0.01)
  • Total Cost: $0.043551 (rounded ~ 0.04)
  • Cost per 1K tokens: $0.000086
  • Tokens per dollar: 11,641,524 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, 2.00 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.

✨ 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 ↓ 99.1% cheaper ↓ 76.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.043551 (rounded ~ 0.04) ↓ 96.4% cheaper Same price
🥉 o4-mini Deep Research
OpenAI
 $0.108878 (rounded ~ 0.11) ↓ 91% cheaper ↑ 150% more
#4 o4-mini
OpenAI
 $0.119765 ↓ 90.1% cheaper ↑ 175% more
#5 Mistral Large 3
Mistral AI
 $0.208755 (rounded ~ 0.21) ↓ 82.8% cheaper ↑ 379.3% more
#6 GPT-5.3 Codex Spark
OpenAI
 $0.225536 (rounded ~ 0.23) ↓ 81.4% cheaper ↑ 417.9% more
#7 Grok 5
xAI
 $0.341633 (rounded ~ 0.34) ↓ 71.9% cheaper ↑ 684.4% more
#8 Gemini 3.1 Pro
Google
 $0.891020 (rounded ~ 0.89) ↓ 26.6% cheaper ↑ 1945.9% more
#9 o3 Deep Research
OpenAI
 $1.088775 (rounded ~ 1.09) ↓ 10.3% cheaper ↑ 2400% more
#10 GPT-5.4 Thinking
OpenAI
 $1.188775 (rounded ~ 1.19) ↓ 2.1% cheaper ↑ 2629.6% more
#11 Claude Sonnet 4.6
Anthropic
 $1.269615 ↑ 4.6% more ↑ 2815.2% more
#12 Claude Opus 4.6
Anthropic
 $2.116025 (rounded ~ 2.12) ↑ 74.3% more ↑ 4758.7% more
#13 o3 Pro
OpenAI
 $2.177550 (rounded ~ 2.18) ↑ 79.4% more ↑ 4900% more
#14 GPT-5.2 Pro
OpenAI
 $2.706428 (rounded ~ 2.71) ↑ 122.9% more ↑ 6114.4% more
#15 GPT-5.2 Pro
OpenAI
 $2.706428 (rounded ~ 2.71) ↑ 122.9% more ↑ 6114.4% more
🏆

Mistral Small 3
Mistral AI

$0.010388
vs Nano Banana 2: ↓ 99.1%
vs Gemini 3.1 Flash Lite: ↓ 76.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.043551 (rounded ~ 0.04)
vs Nano Banana 2: ↓ 96.4%
vs Gemini 3.1 Flash Lite: Same
🥉

o4-mini Deep Research
OpenAI

$0.108878 (rounded ~ 0.11)
vs Nano Banana 2: ↓ 91%
vs Gemini 3.1 Flash Lite: ↑ 150%
#4

o4-mini
OpenAI

$0.119765
vs Nano Banana 2: ↓ 90.1%
vs Gemini 3.1 Flash Lite: ↑ 175%
#5

Mistral Large 3
Mistral AI

$0.208755 (rounded ~ 0.21)
vs Nano Banana 2: ↓ 82.8%
vs Gemini 3.1 Flash Lite: ↑ 379.3%
#6

GPT-5.3 Codex Spark
OpenAI

$0.225536 (rounded ~ 0.23)
vs Nano Banana 2: ↓ 81.4%
vs Gemini 3.1 Flash Lite: ↑ 417.9%
#7

Grok 5
xAI

$0.341633 (rounded ~ 0.34)
vs Nano Banana 2: ↓ 71.9%
vs Gemini 3.1 Flash Lite: ↑ 684.4%
#8

Gemini 3.1 Pro
Google

$0.891020 (rounded ~ 0.89)
vs Nano Banana 2: ↓ 26.6%
vs Gemini 3.1 Flash Lite: ↑ 1945.9%
#9

o3 Deep Research
OpenAI

$1.088775 (rounded ~ 1.09)
vs Nano Banana 2: ↓ 10.3%
vs Gemini 3.1 Flash Lite: ↑ 2400%
#10

GPT-5.4 Thinking
OpenAI

$1.188775 (rounded ~ 1.19)
vs Nano Banana 2: ↓ 2.1%
vs Gemini 3.1 Flash Lite: ↑ 2629.6%
#11

Claude Sonnet 4.6
Anthropic

$1.269615
vs Nano Banana 2: ↑ 4.6%
vs Gemini 3.1 Flash Lite: ↑ 2815.2%
#12

Claude Opus 4.6
Anthropic

$2.116025 (rounded ~ 2.12)
vs Nano Banana 2: ↑ 74.3%
vs Gemini 3.1 Flash Lite: ↑ 4758.7%
#13

o3 Pro
OpenAI

$2.177550 (rounded ~ 2.18)
vs Nano Banana 2: ↑ 79.4%
vs Gemini 3.1 Flash Lite: ↑ 4900%
#14

GPT-5.2 Pro
OpenAI

$2.706428 (rounded ~ 2.71)
vs Nano Banana 2: ↑ 122.9%
vs Gemini 3.1 Flash Lite: ↑ 6114.4%
#15

GPT-5.2 Pro
OpenAI

$2.706428 (rounded ~ 2.71)
vs Nano Banana 2: ↑ 122.9%
vs Gemini 3.1 Flash Lite: ↑ 6114.4%
✨ 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.