Cost Optimization: 500 Images in Browser Automation Workflows with Gemini 3.1 Flash

Complete Analysis: 268,500 tokens for Gemini 3.1 Flash
🖼️ 500 Images ⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash model with 500 Images, 30% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.099320 Total Cost
268,500 Total Tokens
5 minutes, 42.52 seconds Processing Time
784 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)
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

$0.099320 Total Cost
$0.093800 Input Cost
$0.001500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
268,500Total Tokens
$0.000370Cost per 1K
2,703,383Tokens per $
🔄 Dynamic Tier Pricing Active: Using Premium pricing (tier2) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

5m 42s Processing Time
800 Tokens/Second
100ms Time to First Token
784 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

$0.099320
Total Cost
🖼️ 500 Image (Medium) ⚡ 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) $0.135500 (rounded ~ $0.14) Input: $0.134000 (rounded ~ $0.13)
Output: $0.001500
Optimized Cost $0.099320 Input: $0.134000 (rounded ~ $0.13)
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.036180 (rounded ~ $0.04) 26.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 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: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.134000 (rounded ~ $0.13)
  • Output Cost: $0.001500
  • Total Cost: $0.099320
  • Cost per 1K tokens: $0.000370
  • Tokens per dollar: 2,703,383 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: 5 minutes, 42.52 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 784 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volume visual automation taskssuch as UI regression testing or screen-based data scrapingwhere efficiency is paramount.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Images: 500 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash
🏆 Mistral Small 3
Mistral AI
 $0.004929 Best Value ↓ 95% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.012415 (rounded ~ $0.01) ↓ 87.5% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.014986 (rounded ~ $0.01) ↓ 84.9% cheaper
#4 Mistral Large 3
Mistral AI
 $0.024893 (rounded ~ $0.02) ↓ 74.9% cheaper
#5 GPT-5.4 mini
OpenAI
 $0.037245 (rounded ~ $0.04) ↓ 62.5% cheaper
#6 o4-mini Deep Research
OpenAI
 $0.049410 ↓ 50.3% cheaper
#7 Claude Haiku 4.5
Anthropic
 $0.049535 ↓ 50.1% cheaper
#8 o4-mini
OpenAI
 $0.054351 (rounded ~ $0.05) ↓ 45.3% cheaper
#9 Grok 4.3
xAI
 $0.061450 (rounded ~ $0.06) ↓ 38.1% cheaper
#10 Gemini 3.5 Flash
Google
 $0.074490 (rounded ~ $0.07) ↓ 25% cheaper
#11 GPT-5.3 Codex Spark
OpenAI
 $0.087343 (rounded ~ $0.09) ↓ 12.1% cheaper
#12 GPT-5.3 Instant
OpenAI
 $0.087343 (rounded ~ $0.09) ↓ 12.1% cheaper
#13 Claude Sonnet 4.6
Anthropic
 $0.148605 (rounded ~ $0.15) ↑ 49.6% more
#14 Claude Opus 4.7
Anthropic
 $0.247675 (rounded ~ $0.25) ↑ 149.4% more
#15 Claude Opus 4.8
Anthropic
 $0.247675 (rounded ~ $0.25) ↑ 149.4% more
#16 Claude Opus 4.6
Anthropic
 $0.247675 (rounded ~ $0.25) ↑ 149.4% more
#17 GPT-5.4
OpenAI
 $0.248300 (rounded ~ $0.25) ↑ 150% more
#18 GPT-5.4 Thinking
OpenAI
 $0.248300 (rounded ~ $0.25) ↑ 150% more
#19 Gemini 2.5 Pro
Google
 $0.248300 (rounded ~ $0.25) ↑ 150% more
#20 GPT-5.5 Instant
OpenAI
 $0.248300 (rounded ~ $0.25) ↑ 150% more
#21 Gemini 3.1 Pro
Google
 $0.395780 (rounded ~ $0.40) ↑ 298.5% more
#22 o3 Deep Research
OpenAI
 $0.494100 (rounded ~ $0.49) ↑ 397.5% more
#23 o3 Pro
OpenAI
 $0.988200 (rounded ~ $0.99) ↑ 895% more
#24 GPT-5.5
OpenAI
 $0.989450 ↑ 896.2% more
#25 GPT-5.2 Pro
OpenAI
 $1.048110 (rounded ~ $1.05) ↑ 955.3% more
#26 GPT-5.2 Pro
OpenAI
 $1.048110 (rounded ~ $1.05) ↑ 955.3% more
🏆

Mistral Small 3
Mistral AI

$0.004929
vs Gemini 3.1 Flash: ↓ 95%
🥈

Gemini 3.1 Flash Lite
Google

$0.012415 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↓ 87.5%
🥉

Gemini 2.5 Flash
Google

$0.014986 (rounded ~ $0.01)
vs Gemini 3.1 Flash: ↓ 84.9%
#4

Mistral Large 3
Mistral AI

$0.024893 (rounded ~ $0.02)
vs Gemini 3.1 Flash: ↓ 74.9%
#5

GPT-5.4 mini
OpenAI

$0.037245 (rounded ~ $0.04)
vs Gemini 3.1 Flash: ↓ 62.5%
#6

o4-mini Deep Research
OpenAI

$0.049410
vs Gemini 3.1 Flash: ↓ 50.3%
#7

Claude Haiku 4.5
Anthropic

$0.049535
vs Gemini 3.1 Flash: ↓ 50.1%
#8

o4-mini
OpenAI

$0.054351 (rounded ~ $0.05)
vs Gemini 3.1 Flash: ↓ 45.3%
#9

Grok 4.3
xAI

$0.061450 (rounded ~ $0.06)
vs Gemini 3.1 Flash: ↓ 38.1%
#10

Gemini 3.5 Flash
Google

$0.074490 (rounded ~ $0.07)
vs Gemini 3.1 Flash: ↓ 25%
#11

GPT-5.3 Codex Spark
OpenAI

$0.087343 (rounded ~ $0.09)
vs Gemini 3.1 Flash: ↓ 12.1%
#12

GPT-5.3 Instant
OpenAI

$0.087343 (rounded ~ $0.09)
vs Gemini 3.1 Flash: ↓ 12.1%
#13

Claude Sonnet 4.6
Anthropic

$0.148605 (rounded ~ $0.15)
vs Gemini 3.1 Flash: ↑ 49.6%
#14

Claude Opus 4.7
Anthropic

$0.247675 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 149.4%
#15

Claude Opus 4.8
Anthropic

$0.247675 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 149.4%
#16

Claude Opus 4.6
Anthropic

$0.247675 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 149.4%
#17

GPT-5.4
OpenAI

$0.248300 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 150%
#18

GPT-5.4 Thinking
OpenAI

$0.248300 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 150%
#19

Gemini 2.5 Pro
Google

$0.248300 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 150%
#20

GPT-5.5 Instant
OpenAI

$0.248300 (rounded ~ $0.25)
vs Gemini 3.1 Flash: ↑ 150%
#21

Gemini 3.1 Pro
Google

$0.395780 (rounded ~ $0.40)
vs Gemini 3.1 Flash: ↑ 298.5%
#22

o3 Deep Research
OpenAI

$0.494100 (rounded ~ $0.49)
vs Gemini 3.1 Flash: ↑ 397.5%
#23

o3 Pro
OpenAI

$0.988200 (rounded ~ $0.99)
vs Gemini 3.1 Flash: ↑ 895%
#24

GPT-5.5
OpenAI

$0.989450
vs Gemini 3.1 Flash: ↑ 896.2%
#25

GPT-5.2 Pro
OpenAI

$1.048110 (rounded ~ $1.05)
vs Gemini 3.1 Flash: ↑ 955.3%
#26

GPT-5.2 Pro
OpenAI

$1.048110 (rounded ~ $1.05)
vs Gemini 3.1 Flash: ↑ 955.3%
✨ 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.

Visual Reasoning for Browser Agents

Modern browser automation is increasingly multimodal. To accurately navigate dynamic web pages, your agent must ‘see’ the UI—reading charts, identifying buttons, and interpreting visual feedback in real-time. Gemini 3.1 Flash is an excellent choice for these visual-heavy tasks, offering a lightweight and cost-effective way to process hundreds of screenshots without the overhead of larger, more expensive frontier models.

For workflows involving 500 images per batch—such as visual regression testing, automated data entry from image-heavy dashboards, or UI consistency auditing—Gemini 3.1 Flash provides the necessary visual reasoning capabilities while remaining remarkably efficient. Its architecture is optimized for speed, which is a major advantage when your browser agent needs to perform multiple visual checks per page load.

When optimizing costs for visual automation, it is important to consider the input resolution and processing requirements. Because this model is built for efficiency, it allows you to scale your visual processing tasks without needing to compromise on the number of snapshots your agent analyzes. If your primary goal is to maintain a high level of visual coverage while keeping your operational budget manageable, focusing on a model that excels in fast, multimodal processing is the most effective strategy.

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.