Enterprise OCR Speed: Gemini 3.1 Flash Lite vs Grok 4.1 Fast for 10,000 Pages Monthly

Gemini 3.1 Flash Lite vs Grok 4.1 Fast
Complete Comparison: 1,000 input tokens × 500 output tokens
Comparison Mode
🖼️ 10000 Images ⚡ 10% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10000 Images, 10% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Gemini 3.1 Flash Lite
Google
Grok 4.1 Fast
xAI
Calculation Results (Current Inputs) (10000 images, 10% cached)
Input Tokens 1,000 1,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.322563 (rounded ~ $0.32)Best $1.612813 (rounded ~ $1.61)Worst
Output Cost $0.000188Best $0.000313Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.293719 (rounded ~ $0.29) Best Value $1.467972 (rounded ~ $1.47) Most Expensive
Processing Time 1 hour, 30 minutes, 19.76 seconds Fastest 1 hour, 52 minutes, 54.65 seconds Slowest
Tokens per Second 1,000Fastest 800Slowest
Time to First Token 80ms Best 100ms Worst
Cost per 1K tokens $0.000057Best $0.000284Worst
Tokens per Dollar 17,572,896Best Value 3,516,076Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.062500 (rounded ~ $0.06)Best $0.312500 (rounded ~ $0.31)Worst
Output Cost / 1M (Base) $0.375000 (rounded ~ $0.38)Best $0.625000 (rounded ~ $0.63)Worst
Input Cost / 1M (Optimized) $0.031250 (rounded ~ $0.03)Best
Optimizations: 50.0% batch
$0.156250 (rounded ~ $0.16)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.187500 (rounded ~ $0.19)Best
Optimizations: 50.0% batch
$0.312500 (rounded ~ $0.31)Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
10000
✓ Supported ✓ Supported
Video Support ✓ Supported ✓ Supported
Audio Support ✓ Supported ✓ Supported
OCR Support ✓ Supported ✓ Supported
Caching Support
10
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

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)
10%
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

$0.293719 Total Cost
$0.290306 Input Cost
$0.000188 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,161,500Total Tokens
$0.000057Cost per 1K
17,572,896Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

90m 19s Processing Time
1,000 Tokens/Second
80ms Time to First Token
952 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Gemini 3.1 Flash Lite Google 1000000

$0.293719 (rounded ~ $0.29)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 10% 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) $0.322750 (rounded ~ $0.32) Input: $0.322563 (rounded ~ $0.32)
Output: $0.000188
Optimized Cost $0.293719 (rounded ~ $0.29) Input: $0.322563 (rounded ~ $0.32)
Output: $0.000188
Unit: $0.000000
Fees: $0.000000
Total Savings $0.029031 9.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $0.322563 (rounded ~ $0.32)
  • Output Cost: $0.000188
  • Total Cost: $0.293719 (rounded ~ $0.29)
  • Cost per 1K tokens: $0.000057
  • Tokens per dollar: 17,572,896 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: 1 hour, 30 minutes, 19.76 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 952 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for enterprises needing to digitize large volumes of scanned documents where comparing the cost-efficiency and broad multimodal capabilities of Gemini against the real-time processing strengths of Grok is crucial for optimizing OCR workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

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Grok 4.1 Fast xAI 2000000

$1.467972 (rounded ~ $1.47)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 2,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium) ⚡ 10% 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) $1.613125 (rounded ~ $1.61) Input: $1.612813 (rounded ~ $1.61)
Output: $0.000313
Optimized Cost $1.467972 (rounded ~ $1.47) Input: $1.612813 (rounded ~ $1.61)
Output: $0.000313
Unit: $0.000000
Fees: $0.000000
Total Savings $0.145153 (rounded ~ $0.15) 9.0% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $1.612813 (rounded ~ $1.61)
  • Output Cost: $0.000313
  • Total Cost: $1.467972 (rounded ~ $1.47)
  • Cost per 1K tokens: $0.000284
  • Tokens per dollar: 3,516,076 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 1 hour, 52 minutes, 54.65 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 800 tokens/second
  • Effective Throughput: 762 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for enterprises needing to digitize large volumes of scanned documents where comparing the cost-efficiency and broad multimodal capabilities of Gemini against the real-time processing strengths of Grok is crucial for optimizing OCR workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Grok 4.1 Fast. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Gemini 3.1 Flash Lite
📋 Active Input Parameters
Input Tokens: 1,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 10%
Images: 10000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Gemini 3.1 Flash Lite vs Grok 4.1 Fast
🏆 Mistral Small 3
Mistral AI
 $0.117450 (rounded ~ $0.12) Best Value ↓ 60% cheaper ↓ 92% cheaper
🥈 Ministral 3 (14B)
Mistral AI
 $0.234951 (rounded ~ $0.23) ↓ 20% cheaper ↓ 84% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.352551 (rounded ~ $0.35) ↑ 20% more ↓ 76% cheaper
#4 Mistral Large 3
Mistral AI
 $0.587501 (rounded ~ $0.59) ↑ 100% more ↓ 60% cheaper
#5 GPT-5.4 mini
OpenAI
 $0.881158 (rounded ~ $0.88) ↑ 200% more ↓ 40% cheaper
#6 o4-mini Deep Research
OpenAI
 $1.174628 (rounded ~ $1.17) ↑ 299.9% more ↓ 20% cheaper
#7 Claude Haiku 4.5
Anthropic
 $1.174753 (rounded ~ $1.17) ↑ 300% more ↓ 20% cheaper
#8 o4-mini
OpenAI
 $1.292090 (rounded ~ $1.29) ↑ 339.9% more ↓ 12% cheaper
#9 Grok 4.3
xAI
 $1.467972 (rounded ~ $1.47) ↑ 399.8% more Same price
#10 Gemini 3.5 Flash
Google
 $1.762316 (rounded ~ $1.76) ↑ 500% more ↑ 20.1% more
#11 GPT-5.3 Codex Spark
OpenAI
 $2.056473 (rounded ~ $2.06) ↑ 600.1% more ↑ 40.1% more
#12 GPT-5.3 Instant
OpenAI
 $2.056473 (rounded ~ $2.06) ↑ 600.1% more ↑ 40.1% more
#13 Gemini 3.1 Flash
Google
 $2.349755 ↑ 700% more ↑ 60.1% more
#14 Claude Sonnet 4.6
Anthropic
 $3.524258 (rounded ~ $3.52) ↑ 1099.9% more ↑ 140.1% more
#15 Claude Opus 4.7
Anthropic
 $5.873763 (rounded ~ $5.87) ↑ 1899.8% more ↑ 300.1% more
#16 Claude Opus 4.8
Anthropic
 $5.873763 (rounded ~ $5.87) ↑ 1899.8% more ↑ 300.1% more
#17 Claude Opus 4.6
Anthropic
 $5.873763 (rounded ~ $5.87) ↑ 1899.8% more ↑ 300.1% more
#18 Gemini 2.5 Pro
Google
 $5.874388 (rounded ~ $5.87) ↑ 1900% more ↑ 300.2% more
#19 GPT-5.5 Instant
OpenAI
 $5.874388 (rounded ~ $5.87) ↑ 1900% more ↑ 300.2% more
#20 Gemini 3.1 Pro
Google
 $9.397520 (rounded ~ $9.40) ↑ 3099.5% more ↑ 540.2% more
#21 o3 Deep Research
OpenAI
 $11.746275 (rounded ~ $11.75) ↑ 3899.1% more ↑ 700.2% more
#22 GPT-5.4
OpenAI
 $11.746900 (rounded ~ $11.75) ↑ 3899.4% more ↑ 700.2% more
#23 GPT-5.4 Thinking
OpenAI
 $11.746900 (rounded ~ $11.75) ↑ 3899.4% more ↑ 700.2% more
#24 o3 Pro
OpenAI
 $23.492550 (rounded ~ $23.49) ↑ 7898.3% more ↑ 1500.3% more
#25 GPT-5.5
OpenAI
 $23.493800 (rounded ~ $23.49) ↑ 7898.7% more ↑ 1500.4% more
#26 GPT-5.2 Pro
OpenAI
 $24.677678 (rounded ~ $24.68) ↑ 8301.8% more ↑ 1581.1% more
#27 GPT-5.2 Pro
OpenAI
 $24.677678 (rounded ~ $24.68) ↑ 8301.8% more ↑ 1581.1% more
🏆

Mistral Small 3
Mistral AI

$0.117450 (rounded ~ $0.12)
vs Gemini 3.1 Flash Lite: ↓ 60%
vs Grok 4.1 Fast: ↓ 92%
🥈

Ministral 3 (14B)
Mistral AI

$0.234951 (rounded ~ $0.23)
vs Gemini 3.1 Flash Lite: ↓ 20%
vs Grok 4.1 Fast: ↓ 84%
🥉

Gemini 2.5 Flash
Google

$0.352551 (rounded ~ $0.35)
vs Gemini 3.1 Flash Lite: ↑ 20%
vs Grok 4.1 Fast: ↓ 76%
#4

Mistral Large 3
Mistral AI

$0.587501 (rounded ~ $0.59)
vs Gemini 3.1 Flash Lite: ↑ 100%
vs Grok 4.1 Fast: ↓ 60%
#5

GPT-5.4 mini
OpenAI

$0.881158 (rounded ~ $0.88)
vs Gemini 3.1 Flash Lite: ↑ 200%
vs Grok 4.1 Fast: ↓ 40%
#6

o4-mini Deep Research
OpenAI

$1.174628 (rounded ~ $1.17)
vs Gemini 3.1 Flash Lite: ↑ 299.9%
vs Grok 4.1 Fast: ↓ 20%
#7

Claude Haiku 4.5
Anthropic

$1.174753 (rounded ~ $1.17)
vs Gemini 3.1 Flash Lite: ↑ 300%
vs Grok 4.1 Fast: ↓ 20%
#8

o4-mini
OpenAI

$1.292090 (rounded ~ $1.29)
vs Gemini 3.1 Flash Lite: ↑ 339.9%
vs Grok 4.1 Fast: ↓ 12%
#9

Grok 4.3
xAI

$1.467972 (rounded ~ $1.47)
vs Gemini 3.1 Flash Lite: ↑ 399.8%
vs Grok 4.1 Fast: Same
#10

Gemini 3.5 Flash
Google

$1.762316 (rounded ~ $1.76)
vs Gemini 3.1 Flash Lite: ↑ 500%
vs Grok 4.1 Fast: ↑ 20.1%
#11

GPT-5.3 Codex Spark
OpenAI

$2.056473 (rounded ~ $2.06)
vs Gemini 3.1 Flash Lite: ↑ 600.1%
vs Grok 4.1 Fast: ↑ 40.1%
#12

GPT-5.3 Instant
OpenAI

$2.056473 (rounded ~ $2.06)
vs Gemini 3.1 Flash Lite: ↑ 600.1%
vs Grok 4.1 Fast: ↑ 40.1%
#13

Gemini 3.1 Flash
Google

$2.349755
vs Gemini 3.1 Flash Lite: ↑ 700%
vs Grok 4.1 Fast: ↑ 60.1%
#14

Claude Sonnet 4.6
Anthropic

$3.524258 (rounded ~ $3.52)
vs Gemini 3.1 Flash Lite: ↑ 1099.9%
vs Grok 4.1 Fast: ↑ 140.1%
#15

Claude Opus 4.7
Anthropic

$5.873763 (rounded ~ $5.87)
vs Gemini 3.1 Flash Lite: ↑ 1899.8%
vs Grok 4.1 Fast: ↑ 300.1%
#16

Claude Opus 4.8
Anthropic

$5.873763 (rounded ~ $5.87)
vs Gemini 3.1 Flash Lite: ↑ 1899.8%
vs Grok 4.1 Fast: ↑ 300.1%
#17

Claude Opus 4.6
Anthropic

$5.873763 (rounded ~ $5.87)
vs Gemini 3.1 Flash Lite: ↑ 1899.8%
vs Grok 4.1 Fast: ↑ 300.1%
#18

Gemini 2.5 Pro
Google

$5.874388 (rounded ~ $5.87)
vs Gemini 3.1 Flash Lite: ↑ 1900%
vs Grok 4.1 Fast: ↑ 300.2%
#19

GPT-5.5 Instant
OpenAI

$5.874388 (rounded ~ $5.87)
vs Gemini 3.1 Flash Lite: ↑ 1900%
vs Grok 4.1 Fast: ↑ 300.2%
#20

Gemini 3.1 Pro
Google

$9.397520 (rounded ~ $9.40)
vs Gemini 3.1 Flash Lite: ↑ 3099.5%
vs Grok 4.1 Fast: ↑ 540.2%
#21

o3 Deep Research
OpenAI

$11.746275 (rounded ~ $11.75)
vs Gemini 3.1 Flash Lite: ↑ 3899.1%
vs Grok 4.1 Fast: ↑ 700.2%
#22

GPT-5.4
OpenAI

$11.746900 (rounded ~ $11.75)
vs Gemini 3.1 Flash Lite: ↑ 3899.4%
vs Grok 4.1 Fast: ↑ 700.2%
#23

GPT-5.4 Thinking
OpenAI

$11.746900 (rounded ~ $11.75)
vs Gemini 3.1 Flash Lite: ↑ 3899.4%
vs Grok 4.1 Fast: ↑ 700.2%
#24

o3 Pro
OpenAI

$23.492550 (rounded ~ $23.49)
vs Gemini 3.1 Flash Lite: ↑ 7898.3%
vs Grok 4.1 Fast: ↑ 1500.3%
#25

GPT-5.5
OpenAI

$23.493800 (rounded ~ $23.49)
vs Gemini 3.1 Flash Lite: ↑ 7898.7%
vs Grok 4.1 Fast: ↑ 1500.4%
#26

GPT-5.2 Pro
OpenAI

$24.677678 (rounded ~ $24.68)
vs Gemini 3.1 Flash Lite: ↑ 8301.8%
vs Grok 4.1 Fast: ↑ 1581.1%
#27

GPT-5.2 Pro
OpenAI

$24.677678 (rounded ~ $24.68)
vs Gemini 3.1 Flash Lite: ↑ 8301.8%
vs Grok 4.1 Fast: ↑ 1581.1%
✨ 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.

Evaluating AI for Large-Scale Document Digitization

For enterprise architects and AI platform leads tasked with digitizing extensive legacy archives, selecting the right AI model for Optical Character Recognition (OCR) is paramount. This comparison pits Google’s Gemini 3.1 Flash Lite against xAI’s Grok 4.1 Fast, both offering image processing capabilities relevant for an estimated 10,000 pages monthly.

Gemini 3.1 Flash Lite is noted for its cost-efficiency and speed, making it suitable for high-volume, latency-sensitive tasks. As a multimodal model, it can process images and is positioned for professional workflows demanding consistent, production-ready outputs, making it a strong contender for large-scale OCR needs [1, 2, 24]. Its ability to handle images at scale is a key advantage for document digitization projects.

Grok 4.1 Fast, while also fast, is primarily geared towards real-time agentic execution and reacting to live information [24]. While it handles images, its strengths are more aligned with dynamic signal synthesis rather than the consistent, structured output often required for legacy archive digitization. For organizations prioritizing cost-effectiveness and reliable performance across a high volume of scanned documents, Gemini 3.1 Flash Lite may offer a more predictable and economical solution.

When evaluating these options for your enterprise, consider the total cost of ownership, the need for structured output, and the integration flexibility each model provides into your existing document processing pipelines.

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.