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
2.28 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
▼
▼
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

$0.000529 Total Cost
$0.000379 Input Cost
$0.000150 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
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

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) $0.000529 Input: $0.000379
Output: $0.000150
Optimized Cost $0.000529 Input: $0.000379
Output: $0.000150
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 100 output tokens:

  • Input Cost: $0.000379
  • Output Cost: $0.000150
  • 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: 2.28 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

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash. 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 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
🏆 Mistral Small 3
Mistral AI
 $0.000045 Best Value ↓ 91.4% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.000132 ↓ 75% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.000176 ↓ 66.7% cheaper
#4 GPT-5.4 mini
OpenAI
 $0.000397 ↓ 25% cheaper
#5 Llama 4 Maverick (400B)
Meta AI
 $0.000452 ↓ 14.7% cheaper
#6 Mistral Large 3
Mistral AI
 $0.000477 ↓ 9.8% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.000479 ↓ 9.5% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.000504 ↓ 4.7% cheaper
#9 o4-mini
OpenAI
 $0.000527 ↓ 0.4% cheaper
#10 Grok 4.3
xAI
 $0.000536 ↑ 1.4% more
#11 Gemini 3.5 Flash
Google
 $0.000794 ↑ 50% more
#12 GPT-5.3 Codex Spark
OpenAI
 $0.001013 ↑ 91.5% more
#13 GPT-5.3 Instant
OpenAI
 $0.001013 ↑ 91.5% more
#14 Gemini 2.5 Pro
Google
 $0.001448 ↑ 173.6% more
#15 Claude Sonnet 4.6
Anthropic
 $0.001512 ↑ 185.8% more
#16 Gemini 3.1 Pro
Google
 $0.002116 ↑ 300% more
#17 Claude Opus 4.7
Anthropic
 $0.002520 ↑ 376.4% more
#18 Claude Opus 4.8
Anthropic
 $0.002520 ↑ 376.4% more
#19 Claude Opus 4.6
Anthropic
 $0.002520 ↑ 376.4% more
#20 GPT-5.4
OpenAI
 $0.002645 ↑ 400% more
#21 GPT-5.4 Thinking
OpenAI
 $0.002645 ↑ 400% more
#22 GPT-5.5 Instant
OpenAI
 $0.002645 ↑ 400% more
#23 o3 Deep Research
OpenAI
 $0.004790 ↑ 805.5% more
#24 GPT-5.5
OpenAI
 $0.005290 (rounded ~ $0.01) ↑ 900% more
#25 o3 Pro
OpenAI
 $0.009580 ↑ 1711% more
#26 GPT-5.2 Pro
OpenAI
 $0.012159 (rounded ~ $0.01) ↑ 2198.5% more
#27 GPT-5.5 Pro
OpenAI
 $0.015870 (rounded ~ $0.02) ↑ 2900% more
#28 GPT-5.5 Pro
OpenAI
 $0.015870 (rounded ~ $0.02) ↑ 2900% more
🏆

Mistral Small 3
Mistral AI

$0.000045
vs Gemini 3.1 Flash: ↓ 91.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.000132
vs Gemini 3.1 Flash: ↓ 75%
🥉

Gemini 2.5 Flash
Google

$0.000176
vs Gemini 3.1 Flash: ↓ 66.7%
#4

GPT-5.4 mini
OpenAI

$0.000397
vs Gemini 3.1 Flash: ↓ 25%
#5

Llama 4 Maverick (400B)
Meta AI

$0.000452
vs Gemini 3.1 Flash: ↓ 14.7%
#6

Mistral Large 3
Mistral AI

$0.000477
vs Gemini 3.1 Flash: ↓ 9.8%
#7

o4-mini Deep Research
OpenAI

$0.000479
vs Gemini 3.1 Flash: ↓ 9.5%
#8

Claude Haiku 4.5
Anthropic

$0.000504
vs Gemini 3.1 Flash: ↓ 4.7%
#9

o4-mini
OpenAI

$0.000527
vs Gemini 3.1 Flash: ↓ 0.4%
#10

Grok 4.3
xAI

$0.000536
vs Gemini 3.1 Flash: ↑ 1.4%
#11

Gemini 3.5 Flash
Google

$0.000794
vs Gemini 3.1 Flash: ↑ 50%
#12

GPT-5.3 Codex Spark
OpenAI

$0.001013
vs Gemini 3.1 Flash: ↑ 91.5%
#13

GPT-5.3 Instant
OpenAI

$0.001013
vs Gemini 3.1 Flash: ↑ 91.5%
#14

Gemini 2.5 Pro
Google

$0.001448
vs Gemini 3.1 Flash: ↑ 173.6%
#15

Claude Sonnet 4.6
Anthropic

$0.001512
vs Gemini 3.1 Flash: ↑ 185.8%
#16

Gemini 3.1 Pro
Google

$0.002116
vs Gemini 3.1 Flash: ↑ 300%
#17

Claude Opus 4.7
Anthropic

$0.002520
vs Gemini 3.1 Flash: ↑ 376.4%
#18

Claude Opus 4.8
Anthropic

$0.002520
vs Gemini 3.1 Flash: ↑ 376.4%
#19

Claude Opus 4.6
Anthropic

$0.002520
vs Gemini 3.1 Flash: ↑ 376.4%
#20

GPT-5.4
OpenAI

$0.002645
vs Gemini 3.1 Flash: ↑ 400%
#21

GPT-5.4 Thinking
OpenAI

$0.002645
vs Gemini 3.1 Flash: ↑ 400%
#22

GPT-5.5 Instant
OpenAI

$0.002645
vs Gemini 3.1 Flash: ↑ 400%
#23

o3 Deep Research
OpenAI

$0.004790
vs Gemini 3.1 Flash: ↑ 805.5%
#24

GPT-5.5
OpenAI

$0.005290 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 900%
#25

o3 Pro
OpenAI

$0.009580
vs Gemini 3.1 Flash: ↑ 1711%
#26

GPT-5.2 Pro
OpenAI

$0.012159 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↑ 2198.5%
#27

GPT-5.5 Pro
OpenAI

$0.015870 (rounded ~ $0.02)
vs Gemini 3.1 Flash: ↑ 2900%
#28

GPT-5.5 Pro
OpenAI

$0.015870 (rounded ~ $0.02)
vs Gemini 3.1 Flash: ↑ 2900%
✨ 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.

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. 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.