Gemini 3.1 Flash Lite: Cost-Effective OCR for 500 Scanned Pages

Complete Analysis: 513,000 tokens for Gemini 3.1 Flash Lite
🖼️ 500 Images ⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for Google's Gemini 3.1 Flash Lite model with 500 Images, 40% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.022195 (rounded ~ $0.02) Total Cost
513,000 Total Tokens
9 minutes, 9.09 seconds Processing Time
935 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Gemini 3.1 Flash Lite
GoogleMax Context: 1,000,000 tokens
$0.25 / $1.5 per 1M tokens
▼
▼
Use Batch API (50% discount)
40%
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

$0.022195 Total Cost
$0.019050 Input Cost
$0.001875 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
513,000Total Tokens
$0.000043Cost per 1K
23,113,314Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

9m 9s Processing Time
1,000 Tokens/Second
80ms Time to First Token
935 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 Lite Google 1000000

$0.022195 (rounded ~ $0.02)
Total Cost
🖼️ 500 Image (Medium) ⚡ 40% Cached 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✓ Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.033625 (rounded ~ $0.03) Input: $0.031750 (rounded ~ $0.03)
Output: $0.001875
Optimized Cost $0.022195 (rounded ~ $0.02) Input: $0.031750 (rounded ~ $0.03)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000
Total Savings $0.011430 (rounded ~ $0.01) 34.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
258,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 500
Resolution: Medium
Tokens: 258,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 250,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.031750 (rounded ~ $0.03)
  • Output Cost: $0.001875
  • Total Cost: $0.022195 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000043
  • Tokens per dollar: 23,113,314 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, 9.09 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for researchers needing to digitize a moderate number of scanned documents cost-effectively. Its integrated OCR and multimodal support streamline data extraction and initial analysis for archival projects.

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✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash Lite
📋 Active Input Parameters
Input Tokens: 250,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Images: 500 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash Lite
🏆 Gemini 2.5 Flash
Google
 $0.027509 (rounded ~ $0.03) Best Value ↑ 23.9% more
🥈 Mistral Large 3
Mistral AI
 $0.042765 (rounded ~ $0.04) ↑ 92.7% more
🥉 GPT-5.4 mini
OpenAI
 $0.066585 (rounded ~ $0.07) ↑ 200% more
#4 Claude Haiku 4.5
Anthropic
 $0.087530 (rounded ~ $0.09) ↑ 294.4% more
#5 Grok 4.3
xAI
 $0.104725 (rounded ~ $0.10) ↑ 371.8% more
#6 Gemini 3.5 Flash
Google
 $0.133170 (rounded ~ $0.13) ↑ 500% more
#7 Gemini 3.1 Flash
Google
 $0.177560 (rounded ~ $0.18) ↑ 700% more
#8 Claude Sonnet 4.6
Anthropic
 $0.262590 (rounded ~ $0.26) ↑ 1083.1% more
#9 Claude Opus 4.7
Anthropic
 $0.437650 (rounded ~ $0.44) ↑ 1871.8% more
#10 Claude Opus 4.8
Anthropic
 $0.437650 (rounded ~ $0.44) ↑ 1871.8% more
#11 Claude Opus 4.6
Anthropic
 $0.437650 (rounded ~ $0.44) ↑ 1871.8% more
#12 Gemini 2.5 Pro
Google
 $0.443900 (rounded ~ $0.44) ↑ 1900% more
#13 GPT-5.5 Instant
OpenAI
 $0.443900 (rounded ~ $0.44) ↑ 1900% more
#14 Gemini 3.1 Pro
Google
 $0.695240 (rounded ~ $0.70) ↑ 3032.4% more
#15 GPT-5.4
OpenAI
 $0.869050 ↑ 3815.5% more
#16 GPT-5.4 Thinking
OpenAI
 $0.869050 ↑ 3815.5% more
#17 GPT-5.5
OpenAI
 $1.738100 (rounded ~ $1.74) ↑ 7731% more
#18 GPT-5.5
OpenAI
 $1.738100 (rounded ~ $1.74) ↑ 7731% more
🏆

Gemini 2.5 Flash
Google

$0.027509 (rounded ~ $0.03)
vs Gemini 3.1 Flash Lite: ↑ 23.9%
🥈

Mistral Large 3
Mistral AI

$0.042765 (rounded ~ $0.04)
vs Gemini 3.1 Flash Lite: ↑ 92.7%
🥉

GPT-5.4 mini
OpenAI

$0.066585 (rounded ~ $0.07)
vs Gemini 3.1 Flash Lite: ↑ 200%
#4

Claude Haiku 4.5
Anthropic

$0.087530 (rounded ~ $0.09)
vs Gemini 3.1 Flash Lite: ↑ 294.4%
#5

Grok 4.3
xAI

$0.104725 (rounded ~ $0.10)
vs Gemini 3.1 Flash Lite: ↑ 371.8%
#6

Gemini 3.5 Flash
Google

$0.133170 (rounded ~ $0.13)
vs Gemini 3.1 Flash Lite: ↑ 500%
#7

Gemini 3.1 Flash
Google

$0.177560 (rounded ~ $0.18)
vs Gemini 3.1 Flash Lite: ↑ 700%
#8

Claude Sonnet 4.6
Anthropic

$0.262590 (rounded ~ $0.26)
vs Gemini 3.1 Flash Lite: ↑ 1083.1%
#9

Claude Opus 4.7
Anthropic

$0.437650 (rounded ~ $0.44)
vs Gemini 3.1 Flash Lite: ↑ 1871.8%
#10

Claude Opus 4.8
Anthropic

$0.437650 (rounded ~ $0.44)
vs Gemini 3.1 Flash Lite: ↑ 1871.8%
#11

Claude Opus 4.6
Anthropic

$0.437650 (rounded ~ $0.44)
vs Gemini 3.1 Flash Lite: ↑ 1871.8%
#12

Gemini 2.5 Pro
Google

$0.443900 (rounded ~ $0.44)
vs Gemini 3.1 Flash Lite: ↑ 1900%
#13

GPT-5.5 Instant
OpenAI

$0.443900 (rounded ~ $0.44)
vs Gemini 3.1 Flash Lite: ↑ 1900%
#14

Gemini 3.1 Pro
Google

$0.695240 (rounded ~ $0.70)
vs Gemini 3.1 Flash Lite: ↑ 3032.4%
#15

GPT-5.4
OpenAI

$0.869050
vs Gemini 3.1 Flash Lite: ↑ 3815.5%
#16

GPT-5.4 Thinking
OpenAI

$0.869050
vs Gemini 3.1 Flash Lite: ↑ 3815.5%
#17

GPT-5.5
OpenAI

$1.738100 (rounded ~ $1.74)
vs Gemini 3.1 Flash Lite: ↑ 7731%
#18

GPT-5.5
OpenAI

$1.738100 (rounded ~ $1.74)
vs Gemini 3.1 Flash Lite: ↑ 7731%
✨ 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.

For academic researchers embarking on digitizing legacy archives, cost-effectiveness and specialized capabilities are paramount. Gemini 3.1 Flash Lite offers a compelling solution, particularly for those handling smaller batches of scanned documents. Its integrated OCR capabilities mean you can directly process images or PDFs to extract text without needing separate tools. This direct approach streamlines workflows, making it easier to ingest and analyze archival materials. Its low-latency, high-volume optimization makes it suitable for researchers who need quick turnarounds on document processing tasks, ensuring that budget constraints don’t hinder progress on MVP projects. While its primary strength lies in efficiency, its multimodal nature also allows for basic analysis of visual elements within documents, complementing the text extraction process.

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.