Gemini 3.1 Flash for Real-time E-commerce Visual Search

Complete Analysis: 1,616 tokens for Gemini 3.1 Flash
🖼️ 1 Image

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash model with 1 Image.

🖼️ Multimodal Input 📊 Batch API
$0.000529 Total Cost
1,616 Total Tokens
2.00 seconds Processing Time
769 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Flash
GoogleMax Context: 1,000,000 tokens
$0.5 / $3 per 1M tokens (Tier 1)
State-dependent pricing active. Current tier: Standard
▼
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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

$0.000529 Total Cost
$0.000758 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
1,616Total Tokens
$0.000327Cost per 1K
3,054,820Tokens per $
🔄 Dynamic Tier Pricing Active: Using Standard pricing (tier1) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

2.28s Processing Time
800 Tokens/Second
100ms Time to First Token
769 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
0%
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 3.1 Flash Google 1000000

$0.000529
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) $0.001058 (rounded ~ 0.00) Input: $0.000758
Output: $0.000300
Optimized Cost $0.000529 Input: $0.000758
Output: $0.000300
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000529 50.0% discount

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 100 output tokens:

  • Input Cost: $0.000758
  • Output Cost: $0.000300
  • Total Cost: $0.000529
  • Cost per 1K tokens: $0.000327
  • Tokens per dollar: 3,054,820 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: 769 tokens/second (temperature-adjusted)

Best Use Cases

Visual SearchProduct TaggingInventory Management

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 1,000
Output Tokens: 100
Batch API: Enabled (50% discount)
Images: 1 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash
🏆 Gemini 3.1 Flash Lite
Google
 $0.000096 Best Value ↓ 81.9% cheaper
🥈 Llama 4 Maverick (400B)
Meta AI
 $0.000790 ↑ 49.3% more
🥉 GPT-5.3 Codex Spark
OpenAI
 $0.002027 (rounded ~ 0.00) ↑ 283.1% more
#4 Gemini 3.1 Pro
Google
 $0.002116 (rounded ~ 0.00) ↑ 300% more
#5 GPT-5.4 Thinking
OpenAI
 $0.002645 (rounded ~ 0.00) ↑ 400% more
#6 Claude Sonnet 4.6
Anthropic
 $0.003024 (rounded ~ 0.00) ↑ 471.6% more
#7 Claude Opus 4.6
Anthropic
 $0.005040 (rounded ~ 0.01) ↑ 852.7% more
#8 GPT-5.2 Pro
OpenAI
 $0.024318 (rounded ~ 0.02) ↑ 4497% more
#9 GPT-5.2 Pro
OpenAI
 $0.024318 (rounded ~ 0.02) ↑ 4497% more
🏆

Gemini 3.1 Flash Lite
Google

$0.000096
vs Gemini 3.1 Flash: ↓ 81.9%
🥈

Llama 4 Maverick (400B)
Meta AI

$0.000790
vs Gemini 3.1 Flash: ↑ 49.3%
🥉

GPT-5.3 Codex Spark
OpenAI

$0.002027 (rounded ~ 0.00)
vs Gemini 3.1 Flash: ↑ 283.1%
#4

Gemini 3.1 Pro
Google

$0.002116 (rounded ~ 0.00)
vs Gemini 3.1 Flash: ↑ 300%
#5

GPT-5.4 Thinking
OpenAI

$0.002645 (rounded ~ 0.00)
vs Gemini 3.1 Flash: ↑ 400%
#6

Claude Sonnet 4.6
Anthropic

$0.003024 (rounded ~ 0.00)
vs Gemini 3.1 Flash: ↑ 471.6%
#7

Claude Opus 4.6
Anthropic

$0.005040 (rounded ~ 0.01)
vs Gemini 3.1 Flash: ↑ 852.7%
#8

GPT-5.2 Pro
OpenAI

$0.024318 (rounded ~ 0.02)
vs Gemini 3.1 Flash: ↑ 4497%
#9

GPT-5.2 Pro
OpenAI

$0.024318 (rounded ~ 0.02)
vs Gemini 3.1 Flash: ↑ 4497%
✨ How recommendations work: We scan all active models in the registry that support your current inputs (🖼️ Images), calculate costs with all your parameters, and sort by total cost (cheapest first).

High-Speed Multimodal Retail

Calculate the cost of processing 10,000 customer product photos per hour. Gemini 3.1 Flash-Lite offers the lowest latency for vision-to-text tagging in retail environments.

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.
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?
Our recommendation engine scans the entire model registry for alternatives that support all your current input parameters (images, video, audio, OCR, tools, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options available in the market.
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.