E-commerce Product Photo Tagging: Gemini 3 Flash

Complete Analysis: 1,716 tokens for Gemini 3 Flash
🖼️ 1 Image

Complete analysis of pricing, performance, and use cases for Google's Gemini 3 Flash model with 1 Image.

🖼️ Multimodal Input 📊 Batch API
$0.000679 Total Cost
1,716 Total Tokens
2.00 seconds Processing Time
748 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3 Flash (Legacy)
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
▼
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

$0.000679 Total Cost
$0.000379 Input Cost
$0.000300 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,716Total Tokens
$0.000396Cost per 1K
2,527,246Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

2.48s Processing Time
800 Tokens/Second
100ms Time to First Token
748 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

Gemini 3 Flash Google 1000000

$0.000679
Total Cost
🖼️ 1 Image (Medium) 📊 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) $0.000679 Input: $0.000379
Output: $0.000300
Optimized Cost $0.000679 Input: $0.000379
Output: $0.000300
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
516 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
📊 Dynamic Tier
Standard
tier1 pricing based on 0 tokens

Multimodal Input Details

🖼️ Images
Count: 1
Resolution: Medium
Tokens: 516
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 200 output tokens:

  • Input Cost: $0.000379
  • Output Cost: $0.000300
  • Total Cost: $0.000679
  • Cost per 1K tokens: $0.000396
  • Tokens per dollar: 2,527,246 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 800 tokens per second and 100ms time to first token:

  • Processing Time: 2.00 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 748 tokens/second (temperature-adjusted)

Best Use Cases

E-commerceSEOInventory Management

✨ Market Recommendations AI Model Registry

← Back to Gemini 3 Flash
📋 Active Input Parameters
Input Tokens: 1,000
Output Tokens: 200
Batch API: Enabled (50% discount)
Images: 1 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3 Flash
🏆 Mistral Small 3
Mistral AI
 $0.000053 Best Value ↓ 92.2% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.000116 ↓ 82.9% cheaper
🥉 o4-mini Deep Research
OpenAI
 $0.000579 ↓ 14.7% cheaper
#4 o4-mini
OpenAI
 $0.000637 ↓ 6.2% cheaper
#5 Llama 4 Maverick (400B)
Meta AI
 $0.000875 ↑ 28.8% more
#6 GPT-5.3 Codex Spark
OpenAI
 $0.001363 (rounded ~ 0.00) ↑ 100.8% more
#7 Grok 5
xAI
 $0.001887 (rounded ~ 0.00) ↑ 177.9% more
#8 Mistral Large 3
Mistral AI
 $0.002058 (rounded ~ 0.00) ↑ 203.1% more
#9 Gemini 3.1 Pro
Google
 $0.002716 (rounded ~ 0.00) ↑ 300% more
#10 GPT-5.4 Thinking
OpenAI
 $0.003395 (rounded ~ 0.00) ↑ 400% more
#11 Claude Sonnet 4.6
Anthropic
 $0.003774 (rounded ~ 0.00) ↑ 455.8% more
#12 o3 Deep Research
OpenAI
 $0.005790 (rounded ~ 0.01) ↑ 752.7% more
#13 Claude Opus 4.6
Anthropic
 $0.006290 (rounded ~ 0.01) ↑ 826.4% more
#14 o3 Pro
OpenAI
 $0.011580 (rounded ~ 0.01) ↑ 1605.4% more
#15 GPT-5.2 Pro
OpenAI
 $0.016359 (rounded ~ 0.02) ↑ 2309.3% more
#16 GPT-5.2 Pro
OpenAI
 $0.016359 (rounded ~ 0.02) ↑ 2309.3% more
🏆

Mistral Small 3
Mistral AI

$0.000053
vs Gemini 3 Flash: ↓ 92.2%
🥈

Gemini 3.1 Flash Lite
Google

$0.000116
vs Gemini 3 Flash: ↓ 82.9%
🥉

o4-mini Deep Research
OpenAI

$0.000579
vs Gemini 3 Flash: ↓ 14.7%
#4

o4-mini
OpenAI

$0.000637
vs Gemini 3 Flash: ↓ 6.2%
#5

Llama 4 Maverick (400B)
Meta AI

$0.000875
vs Gemini 3 Flash: ↑ 28.8%
#6

GPT-5.3 Codex Spark
OpenAI

$0.001363 (rounded ~ 0.00)
vs Gemini 3 Flash: ↑ 100.8%
#7

Grok 5
xAI

$0.001887 (rounded ~ 0.00)
vs Gemini 3 Flash: ↑ 177.9%
#8

Mistral Large 3
Mistral AI

$0.002058 (rounded ~ 0.00)
vs Gemini 3 Flash: ↑ 203.1%
#9

Gemini 3.1 Pro
Google

$0.002716 (rounded ~ 0.00)
vs Gemini 3 Flash: ↑ 300%
#10

GPT-5.4 Thinking
OpenAI

$0.003395 (rounded ~ 0.00)
vs Gemini 3 Flash: ↑ 400%
#11

Claude Sonnet 4.6
Anthropic

$0.003774 (rounded ~ 0.00)
vs Gemini 3 Flash: ↑ 455.8%
#12

o3 Deep Research
OpenAI

$0.005790 (rounded ~ 0.01)
vs Gemini 3 Flash: ↑ 752.7%
#13

Claude Opus 4.6
Anthropic

$0.006290 (rounded ~ 0.01)
vs Gemini 3 Flash: ↑ 826.4%
#14

o3 Pro
OpenAI

$0.011580 (rounded ~ 0.01)
vs Gemini 3 Flash: ↑ 1605.4%
#15

GPT-5.2 Pro
OpenAI

$0.016359 (rounded ~ 0.02)
vs Gemini 3 Flash: ↑ 2309.3%
#16

GPT-5.2 Pro
OpenAI

$0.016359 (rounded ~ 0.02)
vs Gemini 3 Flash: ↑ 2309.3%
✨ 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.

Rapid Inventory Digitization

Process 10,000 product images per hour. Generate SEO titles, descriptions, and category tags automatically at scale.

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.