How are image tokens calculated for AI models?

Images are tokenized based on resolution: Low (512px): 85 tokens, Medium (768px): 170 tokens, High (1024px): 255 tokens, Full (2048px): 765 tokens per image. For Mistral OCR 3: 10000 images at medium resolution = 1,700,000 tokens.

What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Mistral AI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 50% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

Industrial Scale: Mistral OCR 3 vs Gemini 3.1 Flash Lite for 10,000 Scanned Pages

Name: Gemini 3.1 Flash Lite
Brand: Google
Price: 0.18 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Mistral OCR 3 vs Gemini 3.1 Flash Lite

Complete Comparison: 1,000 input tokens × 500 output tokens

🖼️ 10000 Images ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 10000 Images, 50% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	Mistral OCR 3 Mistral AI	Gemini 3.1 Flash Lite Google
Calculation Results (Current Inputs) (10000 images, 50% cached)
Input Tokens	N/A (Special Pricing)	1,000
Output Tokens	N/A (Special Pricing)	500
Cost Breakdown
Input Cost	N/A (Special Pricing)	$0.322563 (rounded ~ $0.32)
Output Cost	N/A (Special Pricing)	$0.000188
Unit Cost (Audio/OCR)	$0.100000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.100000 Best Value	$0.177597 (rounded ~ $0.18) Most Expensive
Processing Time	5.18 seconds Fastest	1 hour, 32 minutes, 2.99 seconds Slowest
Tokens per Second	N/A (Special Pricing)	1,000
Time to First Token	200ms Worst	80ms Best
Cost per 1K tokens	N/A (Special Pricing)	$0.000034
Tokens per Dollar	N/A (Special Pricing)	29,063,011
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	N/A (Special Pricing)	$0.062500 (rounded ~ $0.06)
Output Cost / 1M (Base)	N/A (Special Pricing)	$0.375000 (rounded ~ $0.38)
Input Cost / 1M (Optimized)	N/A (Special Pricing)	$0.031250 (rounded ~ $0.03) Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	N/A (Special Pricing)	$0.187500 (rounded ~ $0.19) Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support 10000	✓ Supported	✓ Supported
Video Support	✗ Not Supported	✓ Supported
Audio Support	✗ Not Supported	✓ Supported
OCR Support	✓ Supported	✓ Supported
Caching Support 50	✗ Not Supported requested	✓ Supported
Batch API Support	✓ Supported	✓ Supported
Tool Usage Support	✗ Not Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Mistral OCR 3 Mistral AI

$0.100000

Total Cost

🖼️ 10000 Image (Medium) ⚡ 50% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✗ Not Available requested

📄

OCR Support

✓ Available

📊

Batch API

✓ Available

⚡

Caching

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.200000 Input: $0.000000
Output: $0.000000

Optimized Cost $0.100000 Input: $0.000000
Output: $0.000000
Unit: $0.100000
Fees: $0.000000

Total Savings $0.100000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📄 OCR Processing

$0.200000

100 pages

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

Input Cost: $0.000000
Output Cost: $0.000000
Unit Cost: $0.100000
Total Cost: $0.100000
Cost per 1K tokens: $0.066667 (rounded ~ $0.07)
Tokens per dollar: 15,000 tokens
Context Window: 65536 tokens
Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 200ms time to first token:

Processing Time: 5.18 seconds
Latency: 200 milliseconds to first token
Base Throughput: 300 tokens/second

Best Use Cases

Mistral OCR 3 is ideal for complex table and layout extraction in legacy documents; Gemini 3.1 Flash Lite is best for high-throughputend-to-end multimodal document pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for Mistral OCR 3. 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 →

Gemini 3.1 Flash Lite Google 1000000

$0.177597 (rounded ~ $0.18)

Total Cost

⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

🖼️ 10000 Image (Medium) ⚡ 50% Cached 📊 Batch API 🔧 Tools

👁️

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 $0.177597 (rounded ~ $0.18) Input: $0.322563 (rounded ~ $0.32)
Output: $0.000188
Unit: $0.000000
Fees: $0.000000

Total Savings $0.145153 (rounded ~ $0.15) 45.0% 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: $0.177597 (rounded ~ $0.18)
Cost per 1K tokens: $0.000034
Tokens per dollar: 29,063,011 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, 32 minutes, 2.99 seconds
Latency: 80 milliseconds to first token
Base Throughput: 1,000 tokens/second
Effective Throughput: 935 tokens/second (temperature-adjusted)

Best Use Cases

Mistral OCR 3 is ideal for complex table and layout extraction in legacy documents; Gemini 3.1 Flash Lite is best for high-throughputend-to-end multimodal document pipelines.

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.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to Mistral OCR 3

📋 Active Input Parameters

Input Tokens: 1,000

Output Tokens: 500

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Images: 10000 (Medium Resolution)

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Mistral OCR 3	vs Gemini 3.1 Flash Lite
🏆	GPT-5.6 Luna OpenAI	$0.142078 (rounded ~ $0.14) Best Value	↑ 42.1% more	↓ 20% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.177597 (rounded ~ $0.18)	↑ 77.6% more	Same price
🥉	Gemini 3.5 Flash-Lite Google	$0.213204 (rounded ~ $0.21)	↑ 113.2% more	↑ 20% more
#4	Gemini 2.5 Flash Google	$0.213204 (rounded ~ $0.21)	↑ 113.2% more	↑ 20% more
#5	GPT-6 Luna OpenAI	$0.284043 (rounded ~ $0.28)	↑ 184% more	↑ 59.9% more
#6	Mistral Large 3 Mistral AI	$0.355256 (rounded ~ $0.36)	↑ 255.3% more	↑ 100% more
#7	Gemini 3.8 Flash Google	$0.532697 (rounded ~ $0.53)	↑ 432.7% more	↑ 199.9% more
#8	Gemini 3.6 Flash Google	$0.532697 (rounded ~ $0.53)	↑ 432.7% more	↑ 199.9% more
#9	GPT-5.4 mini OpenAI	$0.532791 (rounded ~ $0.53)	↑ 432.8% more	↑ 200% more
#10	Claude Haiku 5.5 Anthropic	$0.710263	↑ 610.3% more	↑ 299.9% more
#11	Claude Haiku 4.5 Anthropic	$0.710263	↑ 610.3% more	↑ 299.9% more
#12	Mistral Large 4 Mistral AI	$0.966310 (rounded ~ $0.97)	↑ 866.3% more	↑ 444.1% more
#13	GPT-5.3 Codex Spark OpenAI	$1.243616 (rounded ~ $1.24)	↑ 1143.6% more	↑ 600.2% more
#14	GPT-5.3 Instant OpenAI	$1.243616 (rounded ~ $1.24)	↑ 1143.6% more	↑ 600.2% more
#15	Claude Sonnet 5.5 Anthropic	$1.356013 (rounded ~ $1.36)	↑ 1256% more	↑ 663.5% more
#16	Claude Sonnet 5 Anthropic	$1.420525	↑ 1320.5% more	↑ 699.9% more
#17	Gemini 4 Argon Google	$1.420525	↑ 1320.5% more	↑ 699.9% more
#18	Gemini 3.1 Flash Google	$1.420775	↑ 1320.8% more	↑ 700% more
#19	GPT-5.6 Terra OpenAI	$1.420775	↑ 1320.8% more	↑ 700% more
#20	Claude Sonnet 4.6 Anthropic	$2.130788	↑ 2030.8% more	↑ 1099.8% more
#21	Claude Opus 5.5 Anthropic	$2.712025 (rounded ~ $2.71)	↑ 2612% more	↑ 1427.1% more
#22	GPT-5.6 Sol OpenAI	$2.841050 (rounded ~ $2.84)	↑ 2741.1% more	↑ 1499.7% more
#23	Claude Opus 4.7 Anthropic	$3.551313 (rounded ~ $3.55)	↑ 3451.3% more	↑ 1899.6% more
#24	Claude Opus 5 Anthropic	$3.551313 (rounded ~ $3.55)	↑ 3451.3% more	↑ 1899.6% more
#25	Claude Opus 4.8 Anthropic	$3.551313 (rounded ~ $3.55)	↑ 3451.3% more	↑ 1899.6% more
#26	Claude Opus 4.6 Anthropic	$3.551313 (rounded ~ $3.55)	↑ 3451.3% more	↑ 1899.6% more
#27	Gemini 2.5 Pro Google	$3.551938 (rounded ~ $3.55)	↑ 3451.9% more	↑ 1900% more
#28	GPT-5.5 Instant OpenAI	$3.551938 (rounded ~ $3.55)	↑ 3451.9% more	↑ 1900% more
#29	Grok 4.3 xAI	$5.679100	↑ 5579.1% more	↑ 3097.7% more
#30	GPT-6.1 Sol OpenAI	$5.680850	↑ 5580.9% more	↑ 3098.7% more
#31	GPT-6 Sol OpenAI	$5.680850	↑ 5580.9% more	↑ 3098.7% more
#32	Gemini 3.1 Pro Google	$5.681600 (rounded ~ $5.68)	↑ 5581.6% more	↑ 3099.2% more
#33	Claude Fable 5.1 Anthropic	$6.618781 (rounded ~ $6.62)	↑ 6518.8% more	↑ 3626.9% more
#34	Claude Mythos 5.1 Anthropic	$6.618781 (rounded ~ $6.62)	↑ 6518.8% more	↑ 3626.9% more
#35	GPT-5.4 OpenAI	$7.102000 (rounded ~ $7.10)	↑ 7002% more	↑ 3898.9% more
#36	GPT-5.4 Thinking OpenAI	$7.102000 (rounded ~ $7.10)	↑ 7002% more	↑ 3898.9% more
#37	Claude Fable 5 Anthropic	$7.102625 (rounded ~ $7.10)	↑ 7002.6% more	↑ 3899.3% more
#38	Claude Mythos 5 Anthropic	$7.102625 (rounded ~ $7.10)	↑ 7002.6% more	↑ 3899.3% more
#39	GPT-5.5 OpenAI	$14.204000 (rounded ~ $14.20)	↑ 14104% more	↑ 7897.9% more
#40	GPT-5.2 Pro OpenAI	$14.923388 (rounded ~ $14.92)	↑ 14823.4% more	↑ 8303% more
#41	GPT-6 Astra OpenAI	$28.410500	↑ 28310.5% more	↑ 15897.2% more
#42	GPT-6 Astra OpenAI	$28.410500	↑ 28310.5% more	↑ 15897.2% more

🏆

GPT-5.6 Luna
OpenAI

$0.142078 (rounded ~ $0.14)

vs Mistral OCR 3: ↑ 42.1%

vs Gemini 3.1 Flash Lite: ↓ 20%

🥈

Gemini 3.1 Flash Lite
Google

$0.177597 (rounded ~ $0.18)

vs Mistral OCR 3: ↑ 77.6%

vs Gemini 3.1 Flash Lite: Same

🥉

Gemini 3.5 Flash-Lite
Google

$0.213204 (rounded ~ $0.21)

vs Mistral OCR 3: ↑ 113.2%

vs Gemini 3.1 Flash Lite: ↑ 20%

Gemini 2.5 Flash
Google

$0.213204 (rounded ~ $0.21)

vs Mistral OCR 3: ↑ 113.2%

vs Gemini 3.1 Flash Lite: ↑ 20%

GPT-6 Luna
OpenAI

$0.284043 (rounded ~ $0.28)

vs Mistral OCR 3: ↑ 184%

vs Gemini 3.1 Flash Lite: ↑ 59.9%

Mistral Large 3
Mistral AI

$0.355256 (rounded ~ $0.36)

vs Mistral OCR 3: ↑ 255.3%

vs Gemini 3.1 Flash Lite: ↑ 100%

Gemini 3.8 Flash
Google

$0.532697 (rounded ~ $0.53)

vs Mistral OCR 3: ↑ 432.7%

vs Gemini 3.1 Flash Lite: ↑ 199.9%

Gemini 3.6 Flash
Google

$0.532697 (rounded ~ $0.53)

vs Mistral OCR 3: ↑ 432.7%

vs Gemini 3.1 Flash Lite: ↑ 199.9%

GPT-5.4 mini
OpenAI

$0.532791 (rounded ~ $0.53)

vs Mistral OCR 3: ↑ 432.8%

vs Gemini 3.1 Flash Lite: ↑ 200%

#10

Claude Haiku 5.5
Anthropic

$0.710263

vs Mistral OCR 3: ↑ 610.3%

vs Gemini 3.1 Flash Lite: ↑ 299.9%

#11

Claude Haiku 4.5
Anthropic

$0.710263

vs Mistral OCR 3: ↑ 610.3%

vs Gemini 3.1 Flash Lite: ↑ 299.9%

#12

Mistral Large 4
Mistral AI

$0.966310 (rounded ~ $0.97)

vs Mistral OCR 3: ↑ 866.3%

vs Gemini 3.1 Flash Lite: ↑ 444.1%

#13

GPT-5.3 Codex Spark
OpenAI

$1.243616 (rounded ~ $1.24)

vs Mistral OCR 3: ↑ 1143.6%

vs Gemini 3.1 Flash Lite: ↑ 600.2%

#14

GPT-5.3 Instant
OpenAI

$1.243616 (rounded ~ $1.24)

vs Mistral OCR 3: ↑ 1143.6%

vs Gemini 3.1 Flash Lite: ↑ 600.2%

#15

Claude Sonnet 5.5
Anthropic

$1.356013 (rounded ~ $1.36)

vs Mistral OCR 3: ↑ 1256%

vs Gemini 3.1 Flash Lite: ↑ 663.5%

#16

Claude Sonnet 5
Anthropic

$1.420525

vs Mistral OCR 3: ↑ 1320.5%

vs Gemini 3.1 Flash Lite: ↑ 699.9%

#17

Gemini 4 Argon
Google

$1.420525

vs Mistral OCR 3: ↑ 1320.5%

vs Gemini 3.1 Flash Lite: ↑ 699.9%

#18

Gemini 3.1 Flash
Google

$1.420775

vs Mistral OCR 3: ↑ 1320.8%

vs Gemini 3.1 Flash Lite: ↑ 700%

#19

GPT-5.6 Terra
OpenAI

$1.420775

vs Mistral OCR 3: ↑ 1320.8%

vs Gemini 3.1 Flash Lite: ↑ 700%

#20

Claude Sonnet 4.6
Anthropic

$2.130788

vs Mistral OCR 3: ↑ 2030.8%

vs Gemini 3.1 Flash Lite: ↑ 1099.8%

#21

Claude Opus 5.5
Anthropic

$2.712025 (rounded ~ $2.71)

vs Mistral OCR 3: ↑ 2612%

vs Gemini 3.1 Flash Lite: ↑ 1427.1%

#22

GPT-5.6 Sol
OpenAI

$2.841050 (rounded ~ $2.84)

vs Mistral OCR 3: ↑ 2741.1%

vs Gemini 3.1 Flash Lite: ↑ 1499.7%

#23

Claude Opus 4.7
Anthropic

$3.551313 (rounded ~ $3.55)

vs Mistral OCR 3: ↑ 3451.3%

vs Gemini 3.1 Flash Lite: ↑ 1899.6%

#24

Claude Opus 5
Anthropic

$3.551313 (rounded ~ $3.55)

vs Mistral OCR 3: ↑ 3451.3%

vs Gemini 3.1 Flash Lite: ↑ 1899.6%

#25

Claude Opus 4.8
Anthropic

$3.551313 (rounded ~ $3.55)

vs Mistral OCR 3: ↑ 3451.3%

vs Gemini 3.1 Flash Lite: ↑ 1899.6%

#26

Claude Opus 4.6
Anthropic

$3.551313 (rounded ~ $3.55)

vs Mistral OCR 3: ↑ 3451.3%

vs Gemini 3.1 Flash Lite: ↑ 1899.6%

#27

Gemini 2.5 Pro
Google

$3.551938 (rounded ~ $3.55)

vs Mistral OCR 3: ↑ 3451.9%

vs Gemini 3.1 Flash Lite: ↑ 1900%

#28

GPT-5.5 Instant
OpenAI

$3.551938 (rounded ~ $3.55)

vs Mistral OCR 3: ↑ 3451.9%

vs Gemini 3.1 Flash Lite: ↑ 1900%

#29

Grok 4.3
xAI

$5.679100

vs Mistral OCR 3: ↑ 5579.1%

vs Gemini 3.1 Flash Lite: ↑ 3097.7%

#30

GPT-6.1 Sol
OpenAI

$5.680850

vs Mistral OCR 3: ↑ 5580.9%

vs Gemini 3.1 Flash Lite: ↑ 3098.7%

#31

GPT-6 Sol
OpenAI

$5.680850

vs Mistral OCR 3: ↑ 5580.9%

vs Gemini 3.1 Flash Lite: ↑ 3098.7%

#32

Gemini 3.1 Pro
Google

$5.681600 (rounded ~ $5.68)

vs Mistral OCR 3: ↑ 5581.6%

vs Gemini 3.1 Flash Lite: ↑ 3099.2%

#33

Claude Fable 5.1
Anthropic

$6.618781 (rounded ~ $6.62)

vs Mistral OCR 3: ↑ 6518.8%

vs Gemini 3.1 Flash Lite: ↑ 3626.9%

#34

Claude Mythos 5.1
Anthropic

$6.618781 (rounded ~ $6.62)

vs Mistral OCR 3: ↑ 6518.8%

vs Gemini 3.1 Flash Lite: ↑ 3626.9%

#35

GPT-5.4
OpenAI

$7.102000 (rounded ~ $7.10)

vs Mistral OCR 3: ↑ 7002%

vs Gemini 3.1 Flash Lite: ↑ 3898.9%

#36

GPT-5.4 Thinking
OpenAI

$7.102000 (rounded ~ $7.10)

vs Mistral OCR 3: ↑ 7002%

vs Gemini 3.1 Flash Lite: ↑ 3898.9%

#37

Claude Fable 5
Anthropic

$7.102625 (rounded ~ $7.10)

vs Mistral OCR 3: ↑ 7002.6%

vs Gemini 3.1 Flash Lite: ↑ 3899.3%

#38

Claude Mythos 5
Anthropic

$7.102625 (rounded ~ $7.10)

vs Mistral OCR 3: ↑ 7002.6%

vs Gemini 3.1 Flash Lite: ↑ 3899.3%

#39

GPT-5.5
OpenAI

$14.204000 (rounded ~ $14.20)

vs Mistral OCR 3: ↑ 14104%

vs Gemini 3.1 Flash Lite: ↑ 7897.9%

#40

GPT-5.2 Pro
OpenAI

$14.923388 (rounded ~ $14.92)

vs Mistral OCR 3: ↑ 14823.4%

vs Gemini 3.1 Flash Lite: ↑ 8303%

#41

GPT-6 Astra
OpenAI

$28.410500

vs Mistral OCR 3: ↑ 28310.5%

vs Gemini 3.1 Flash Lite: ↑ 15897.2%

#42

GPT-6 Astra
OpenAI

$28.410500

vs Mistral OCR 3: ↑ 28310.5%

vs Gemini 3.1 Flash Lite: ↑ 15897.2%

✨ 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.

Choosing Between Mistral OCR 3 and Gemini 3.1 Flash Lite for Legacy Archives

When digitizing 10,000 scanned pages monthly, your choice of OCR engine significantly impacts the accuracy and structural integrity of your downstream data. Mistral OCR 3 and Gemini 3.1 Flash Lite represent two distinct philosophies in document processing, both optimized for high-volume enterprise workloads.

Mistral OCR 3 is purpose-built for document tasks. It excels in preserving document structure, particularly with complex table layouts and multi-column formats. For archives where data extraction requires high-fidelity Markdown or HTML output, this model is often the superior choice. Its architecture is specifically tuned to recognize document semantics, making it highly effective for messy legacy scans where standard vision models might struggle with alignment.

Gemini 3.1 Flash Lite offers a different advantage: deep integration into broader enterprise pipelines. While highly capable at OCR, its strength lies in its multimodal agility. If your digitization workflow requires not just extracting text but also summarizing, categorizing, or cross-referencing document content with other data sources in real-time, this model provides the necessary reasoning capabilities within a single call.

Deciding between the two depends on your primary bottleneck. If your challenge is structural complexity and accuracy in table extraction, Mistral OCR 3 is the specialized tool for the job. If your challenge is scaling an end-to-end intelligent document processing pipeline where classification and extraction happen simultaneously, Gemini 3.1 Flash Lite is the more versatile, high-throughput solution.

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.

Industrial Scale: Mistral OCR 3 vs Gemini 3.1 Flash Lite for 10,000 Scanned Pages

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Mistral OCR 3

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Mistral OCR 3 Mistral AI

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Gemini 3.1 Flash Lite Google 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

GPT-6 Luna OpenAI

Mistral Large 3 Mistral AI

Gemini 3.8 Flash Google

Gemini 3.6 Flash Google

GPT-5.4 mini OpenAI

Claude Haiku 5.5 Anthropic

Claude Haiku 4.5 Anthropic

Mistral Large 4 Mistral AI

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 5.5 Anthropic

Claude Sonnet 5 Anthropic

Gemini 4 Argon Google

Gemini 3.1 Flash Google

GPT-5.6 Terra OpenAI

Claude Sonnet 4.6 Anthropic

Claude Opus 5.5 Anthropic

GPT-5.6 Sol OpenAI

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

Gemini 2.5 Pro Google

GPT-5.5 Instant OpenAI

Grok 4.3 xAI

GPT-6.1 Sol OpenAI

GPT-6 Sol OpenAI

Gemini 3.1 Pro Google

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-5.2 Pro OpenAI

GPT-6 Astra OpenAI

GPT-6 Astra OpenAI

Choosing Between Mistral OCR 3 and Gemini 3.1 Flash Lite for Legacy Archives

Frequently Asked Questions

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GPT-5.6 Luna
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Gemini 3.1 Flash Lite
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Gemini 3.5 Flash-Lite
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Gemini 2.5 Flash
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GPT-6 Luna
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Mistral Large 3
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Gemini 3.8 Flash
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Gemini 3.6 Flash
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GPT-5.4 mini
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Claude Haiku 5.5
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Claude Haiku 4.5
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Mistral Large 4
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GPT-5.3 Codex Spark
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GPT-5.3 Instant
OpenAI

Claude Sonnet 5.5
Anthropic

Claude Sonnet 5
Anthropic

Gemini 4 Argon
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Gemini 3.1 Flash
Google

GPT-5.6 Terra
OpenAI

Claude Sonnet 4.6
Anthropic

Claude Opus 5.5
Anthropic

GPT-5.6 Sol
OpenAI

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

Gemini 2.5 Pro
Google

GPT-5.5 Instant
OpenAI

Grok 4.3
xAI

GPT-6.1 Sol
OpenAI

GPT-6 Sol
OpenAI

Gemini 3.1 Pro
Google

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-5.2 Pro
OpenAI

GPT-6 Astra
OpenAI

GPT-6 Astra
OpenAI