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: 100 images at medium resolution = 17,000 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.

Mistral OCR 3 vs Gemini 3.8 Flash for 100 Invoice PDF Extraction

Name: Gemini 3.8 Flash
Brand: Google
Price: 0.03 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Mistral OCR 3 vs Gemini 3.8 Flash

Complete Comparison: 200,000 input tokens × 2,000 output tokens

🖼️ 100 Images ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100 Images, 50% Cached.

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

Comparison Criteria	Mistral OCR 3 Mistral AI	Gemini 3.8 Flash Google
Calculation Results (Current Inputs) (100 images, 50% cached)
Input Tokens	N/A (Special Pricing)	200,000
Output Tokens	N/A (Special Pricing)	2,000
Cost Breakdown
Input Cost	N/A (Special Pricing)	$0.047175 (rounded ~ $0.05)
Output Cost	N/A (Special Pricing)	$0.001875
Unit Cost (Audio/OCR)	$0.100000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.100000 Most Expensive	$0.027821 (rounded ~ $0.03) Best Value
Processing Time	11 minutes, 13.51 seconds Fastest	12 minutes, 40.98 seconds Slowest
Tokens per Second	N/A (Special Pricing)	340
Time to First Token	200ms Worst	105ms Best
Cost per 1K tokens	N/A (Special Pricing)	$0.000110
Tokens per Dollar	N/A (Special Pricing)	9,115,335
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	N/A (Special Pricing)	$0.187500 (rounded ~ $0.19)
Output Cost / 1M (Base)	N/A (Special Pricing)	$0.937500 (rounded ~ $0.94)
Input Cost / 1M (Optimized)	N/A (Special Pricing)	$0.093750 (rounded ~ $0.09) Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	N/A (Special Pricing)	$0.468750 (rounded ~ $0.47) Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support 100	✓ Supported	✓ Supported
Video Support	✗ Not Supported	✓ Supported
Audio Support	✗ Not Supported	✓ Supported
OCR Support	✓ Supported	✗ Not 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

🖼️ 100 Image (Medium) ⚡ 50% Cached 📊 Batch API

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✗ Not Available

🎥

Video Analysis

✗ Not Available

🔧

Tool Usage

✗ Not Available

📄

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 200,000 input tokens and 2,000 output tokens:

Input Cost: $0.000000
Output Cost: $0.000000
Unit Cost: $0.100000
Total Cost: $0.100000
Cost per 1K tokens: $0.000495
Tokens per dollar: 2,020,000 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: 11 minutes, 13.51 seconds
Latency: 200 milliseconds to first token
Base Throughput: 300 tokens/second

Best Use Cases

Use Mistral OCR 3 for precision-focused document parsing and Gemini 3.8 Flash for integrated extraction and reasoning workflows.

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 3.8 Flash Google 1048576

$0.027821 (rounded ~ $0.03)

Total Cost

🖼️ 100 Image (Medium) ⚡ 50% Cached 📊 Batch API

👁️

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) $0.049050 Input: $0.047175 (rounded ~ $0.05)
Output: $0.001875

Optimized Cost $0.027821 (rounded ~ $0.03) Input: $0.047175 (rounded ~ $0.05)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000

Total Savings $0.021229 (rounded ~ $0.02) 43.3% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

51,600 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 100
Resolution: Medium
Tokens: 51,600
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 2,000 output tokens:

Input Cost: $0.047175 (rounded ~ $0.05)
Output Cost: $0.001875
Total Cost: $0.027821 (rounded ~ $0.03)
Cost per 1K tokens: $0.000110
Tokens per dollar: 9,115,335 tokens
Context Window: 1048576 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 105ms time to first token:

Processing Time: 12 minutes, 40.98 seconds
Latency: 105 milliseconds to first token
Base Throughput: 340 tokens/second
Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Use Mistral OCR 3 for precision-focused document parsing and Gemini 3.8 Flash for integrated extraction and reasoning workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.8 Flash. 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: 200,000

Output Tokens: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Images: 100 (Medium Resolution)

Rank	AI Model & Provider	Total Cost	vs Mistral OCR 3	vs Gemini 3.8 Flash
🏆	GPT-6 Luna OpenAI	$0.007419 (rounded ~ $0.01) Best Value	↓ 92.6% cheaper	↓ 73.3% cheaper
🥈	GPT-5.6 Luna OpenAI	$0.007519 (rounded ~ $0.01)	↓ 92.5% cheaper	↓ 73% cheaper
🥉	Gemini 3.1 Flash Lite Google	$0.009399	↓ 90.6% cheaper	↓ 66.2% cheaper
#4	Gemini 3.5 Flash-Lite Google	$0.011629 (rounded ~ $0.01)	↓ 88.4% cheaper	↓ 58.2% cheaper
#5	Gemini 2.5 Flash Google	$0.011629 (rounded ~ $0.01)	↓ 88.4% cheaper	↓ 58.2% cheaper
#6	Mistral Large 3 Mistral AI	$0.018298 (rounded ~ $0.02)	↓ 81.7% cheaper	↓ 34.2% cheaper
#7	Gemini 3.8 Flash Google	$0.027821 (rounded ~ $0.03)	↓ 72.2% cheaper	Same price
#8	Gemini 3.6 Flash Google	$0.027821 (rounded ~ $0.03)	↓ 72.2% cheaper	Same price
#9	GPT-5.4 mini OpenAI	$0.028196 (rounded ~ $0.03)	↓ 71.8% cheaper	↑ 1.3% more
#10	Claude Haiku 5.5 Anthropic	$0.037095 (rounded ~ $0.04)	↓ 62.9% cheaper	↑ 33.3% more
#11	Claude Haiku 4.5 Anthropic	$0.037095 (rounded ~ $0.04)	↓ 62.9% cheaper	↑ 33.3% more
#12	Mistral Large 4 Mistral AI	$0.049819	↓ 50.2% cheaper	↑ 79.1% more
#13	Claude Sonnet 5.5 Anthropic	$0.071045 (rounded ~ $0.07)	↓ 29% cheaper	↑ 155.4% more
#14	Claude Sonnet 5 Anthropic	$0.074190 (rounded ~ $0.07)	↓ 25.8% cheaper	↑ 166.7% more
#15	Gemini 4 Argon Google	$0.074190 (rounded ~ $0.07)	↓ 25.8% cheaper	↑ 166.7% more
#16	Gemini 3.1 Flash Google	$0.075190 (rounded ~ $0.08)	↓ 24.8% cheaper	↑ 170.3% more
#17	GPT-5.6 Terra OpenAI	$0.075190 (rounded ~ $0.08)	↓ 24.8% cheaper	↑ 170.3% more
#18	Claude Sonnet 4.6 Anthropic	$0.111285 (rounded ~ $0.11)	↑ 11.3% more	↑ 300% more
#19	Claude Opus 5.5 Anthropic	$0.142090 (rounded ~ $0.14)	↑ 42.1% more	↑ 410.7% more
#20	GPT-6.1 Sol OpenAI	$0.148380 (rounded ~ $0.15)	↑ 48.4% more	↑ 433.3% more
#21	GPT-6 Sol OpenAI	$0.148380 (rounded ~ $0.15)	↑ 48.4% more	↑ 433.3% more
#22	GPT-5.6 Sol OpenAI	$0.148380 (rounded ~ $0.15)	↑ 48.4% more	↑ 433.3% more
#23	Claude Opus 4.7 Anthropic	$0.185475 (rounded ~ $0.19)	↑ 85.5% more	↑ 566.7% more
#24	Claude Opus 5 Anthropic	$0.185475 (rounded ~ $0.19)	↑ 85.5% more	↑ 566.7% more
#25	Claude Opus 4.8 Anthropic	$0.185475 (rounded ~ $0.19)	↑ 85.5% more	↑ 566.7% more
#26	Claude Opus 4.6 Anthropic	$0.185475 (rounded ~ $0.19)	↑ 85.5% more	↑ 566.7% more
#27	GPT-5.4 OpenAI	$0.187975 (rounded ~ $0.19)	↑ 88% more	↑ 575.7% more
#28	GPT-5.4 Thinking OpenAI	$0.187975 (rounded ~ $0.19)	↑ 88% more	↑ 575.7% more
#29	Gemini 2.5 Pro Google	$0.187975 (rounded ~ $0.19)	↑ 88% more	↑ 575.7% more
#30	GPT-5.5 Instant OpenAI	$0.187975 (rounded ~ $0.19)	↑ 88% more	↑ 575.7% more
#31	Grok 4.3 xAI	$0.284760 (rounded ~ $0.28)	↑ 184.8% more	↑ 923.5% more
#32	Gemini 3.1 Pro Google	$0.294760 (rounded ~ $0.29)	↑ 194.8% more	↑ 959.5% more
#33	Claude Fable 5.1 Anthropic	$0.347363 (rounded ~ $0.35)	↑ 247.4% more	↑ 1148.6% more
#34	Claude Mythos 5.1 Anthropic	$0.347363 (rounded ~ $0.35)	↑ 247.4% more	↑ 1148.6% more
#35	Claude Fable 5 Anthropic	$0.370950	↑ 271% more	↑ 1233.3% more
#36	Claude Mythos 5 Anthropic	$0.370950	↑ 271% more	↑ 1233.3% more
#37	GPT-5.5 OpenAI	$0.375950 (rounded ~ $0.38)	↑ 276% more	↑ 1251.3% more
#38	GPT-6 Astra OpenAI	$0.741900 (rounded ~ $0.74)	↑ 641.9% more	↑ 2566.7% more
#39	GPT-6 Astra OpenAI	$0.741900 (rounded ~ $0.74)	↑ 641.9% more	↑ 2566.7% more

🏆

GPT-6 Luna
OpenAI

$0.007419 (rounded ~ $0.01)

vs Mistral OCR 3: ↓ 92.6%

vs Gemini 3.8 Flash: ↓ 73.3%

🥈

GPT-5.6 Luna
OpenAI

$0.007519 (rounded ~ $0.01)

vs Mistral OCR 3: ↓ 92.5%

vs Gemini 3.8 Flash: ↓ 73%

🥉

Gemini 3.1 Flash Lite
Google

$0.009399

vs Mistral OCR 3: ↓ 90.6%

vs Gemini 3.8 Flash: ↓ 66.2%

Gemini 3.5 Flash-Lite
Google

$0.011629 (rounded ~ $0.01)

vs Mistral OCR 3: ↓ 88.4%

vs Gemini 3.8 Flash: ↓ 58.2%

Gemini 2.5 Flash
Google

$0.011629 (rounded ~ $0.01)

vs Mistral OCR 3: ↓ 88.4%

vs Gemini 3.8 Flash: ↓ 58.2%

Mistral Large 3
Mistral AI

$0.018298 (rounded ~ $0.02)

vs Mistral OCR 3: ↓ 81.7%

vs Gemini 3.8 Flash: ↓ 34.2%

Gemini 3.8 Flash
Google

$0.027821 (rounded ~ $0.03)

vs Mistral OCR 3: ↓ 72.2%

vs Gemini 3.8 Flash: Same

Gemini 3.6 Flash
Google

$0.027821 (rounded ~ $0.03)

vs Mistral OCR 3: ↓ 72.2%

vs Gemini 3.8 Flash: Same

GPT-5.4 mini
OpenAI

$0.028196 (rounded ~ $0.03)

vs Mistral OCR 3: ↓ 71.8%

vs Gemini 3.8 Flash: ↑ 1.3%

#10

Claude Haiku 5.5
Anthropic

$0.037095 (rounded ~ $0.04)

vs Mistral OCR 3: ↓ 62.9%

vs Gemini 3.8 Flash: ↑ 33.3%

#11

Claude Haiku 4.5
Anthropic

$0.037095 (rounded ~ $0.04)

vs Mistral OCR 3: ↓ 62.9%

vs Gemini 3.8 Flash: ↑ 33.3%

#12

Mistral Large 4
Mistral AI

$0.049819

vs Mistral OCR 3: ↓ 50.2%

vs Gemini 3.8 Flash: ↑ 79.1%

#13

Claude Sonnet 5.5
Anthropic

$0.071045 (rounded ~ $0.07)

vs Mistral OCR 3: ↓ 29%

vs Gemini 3.8 Flash: ↑ 155.4%

#14

Claude Sonnet 5
Anthropic

$0.074190 (rounded ~ $0.07)

vs Mistral OCR 3: ↓ 25.8%

vs Gemini 3.8 Flash: ↑ 166.7%

#15

Gemini 4 Argon
Google

$0.074190 (rounded ~ $0.07)

vs Mistral OCR 3: ↓ 25.8%

vs Gemini 3.8 Flash: ↑ 166.7%

#16

Gemini 3.1 Flash
Google

$0.075190 (rounded ~ $0.08)

vs Mistral OCR 3: ↓ 24.8%

vs Gemini 3.8 Flash: ↑ 170.3%

#17

GPT-5.6 Terra
OpenAI

$0.075190 (rounded ~ $0.08)

vs Mistral OCR 3: ↓ 24.8%

vs Gemini 3.8 Flash: ↑ 170.3%

#18

Claude Sonnet 4.6
Anthropic

$0.111285 (rounded ~ $0.11)

vs Mistral OCR 3: ↑ 11.3%

vs Gemini 3.8 Flash: ↑ 300%

#19

Claude Opus 5.5
Anthropic

$0.142090 (rounded ~ $0.14)

vs Mistral OCR 3: ↑ 42.1%

vs Gemini 3.8 Flash: ↑ 410.7%

#20

GPT-6.1 Sol
OpenAI

$0.148380 (rounded ~ $0.15)

vs Mistral OCR 3: ↑ 48.4%

vs Gemini 3.8 Flash: ↑ 433.3%

#21

GPT-6 Sol
OpenAI

$0.148380 (rounded ~ $0.15)

vs Mistral OCR 3: ↑ 48.4%

vs Gemini 3.8 Flash: ↑ 433.3%

#22

GPT-5.6 Sol
OpenAI

$0.148380 (rounded ~ $0.15)

vs Mistral OCR 3: ↑ 48.4%

vs Gemini 3.8 Flash: ↑ 433.3%

#23

Claude Opus 4.7
Anthropic

$0.185475 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 85.5%

vs Gemini 3.8 Flash: ↑ 566.7%

#24

Claude Opus 5
Anthropic

$0.185475 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 85.5%

vs Gemini 3.8 Flash: ↑ 566.7%

#25

Claude Opus 4.8
Anthropic

$0.185475 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 85.5%

vs Gemini 3.8 Flash: ↑ 566.7%

#26

Claude Opus 4.6
Anthropic

$0.185475 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 85.5%

vs Gemini 3.8 Flash: ↑ 566.7%

#27

GPT-5.4
OpenAI

$0.187975 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 88%

vs Gemini 3.8 Flash: ↑ 575.7%

#28

GPT-5.4 Thinking
OpenAI

$0.187975 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 88%

vs Gemini 3.8 Flash: ↑ 575.7%

#29

Gemini 2.5 Pro
Google

$0.187975 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 88%

vs Gemini 3.8 Flash: ↑ 575.7%

#30

GPT-5.5 Instant
OpenAI

$0.187975 (rounded ~ $0.19)

vs Mistral OCR 3: ↑ 88%

vs Gemini 3.8 Flash: ↑ 575.7%

#31

Grok 4.3
xAI

$0.284760 (rounded ~ $0.28)

vs Mistral OCR 3: ↑ 184.8%

vs Gemini 3.8 Flash: ↑ 923.5%

#32

Gemini 3.1 Pro
Google

$0.294760 (rounded ~ $0.29)

vs Mistral OCR 3: ↑ 194.8%

vs Gemini 3.8 Flash: ↑ 959.5%

#33

Claude Fable 5.1
Anthropic

$0.347363 (rounded ~ $0.35)

vs Mistral OCR 3: ↑ 247.4%

vs Gemini 3.8 Flash: ↑ 1148.6%

#34

Claude Mythos 5.1
Anthropic

$0.347363 (rounded ~ $0.35)

vs Mistral OCR 3: ↑ 247.4%

vs Gemini 3.8 Flash: ↑ 1148.6%

#35

Claude Fable 5
Anthropic

$0.370950

vs Mistral OCR 3: ↑ 271%

vs Gemini 3.8 Flash: ↑ 1233.3%

#36

Claude Mythos 5
Anthropic

$0.370950

vs Mistral OCR 3: ↑ 271%

vs Gemini 3.8 Flash: ↑ 1233.3%

#37

GPT-5.5
OpenAI

$0.375950 (rounded ~ $0.38)

vs Mistral OCR 3: ↑ 276%

vs Gemini 3.8 Flash: ↑ 1251.3%

#38

GPT-6 Astra
OpenAI

$0.741900 (rounded ~ $0.74)

vs Mistral OCR 3: ↑ 641.9%

vs Gemini 3.8 Flash: ↑ 2566.7%

#39

GPT-6 Astra
OpenAI

$0.741900 (rounded ~ $0.74)

vs Mistral OCR 3: ↑ 641.9%

vs Gemini 3.8 Flash: ↑ 2566.7%

✨ 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 the Right OCR Strategy for Financial Documents

For healthcare administrators managing invoice reconciliation, the choice between a specialized OCR model and a general-purpose vision model is critical. Mistral OCR 3 is purpose-built for document-heavy workflows, offering high fidelity when extracting text from scanned invoices, receipts, and clinical forms. Its architecture is optimized for dense document layouts, which is often a challenge for standard models.

In contrast, Gemini 3.8 Flash offers a broader multimodal capability. While primarily known for its efficiency in text and video analysis, its vision capabilities are robust enough to handle structured data extraction from PDFs. For teams that need not just extraction, but also summarization or audit-trail generation based on the invoice content, Gemini 3.8 Flash provides a more integrated environment for follow-on reasoning.

Decision Factors Beyond Extraction

When processing 100 invoice PDFs, the primary differentiator is the balance between extraction precision and downstream utility. If your pipeline requires strict adherence to financial schemas and minimal hallucination on tabular data, the specialized approach of Mistral OCR 3 is often superior. However, if your workflow involves complex logic—such as cross-referencing invoice line items with patient records or prior authorization codes—the reasoning capabilities of Gemini 3.8 Flash provide an edge. Consider your existing infrastructure; if you are already utilizing Google Cloud, the integration path for Gemini is likely more efficient, whereas Mistral provides a clean, focused toolset for specific document-parsing tasks.

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.

Mistral OCR 3 vs Gemini 3.8 Flash for 100 Invoice PDF Extraction

🔄 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 3.8 Flash Google 1048576

💰 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-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

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

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-6.1 Sol OpenAI

GPT-6 Sol OpenAI

GPT-5.6 Sol OpenAI

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

Gemini 2.5 Pro Google

GPT-5.5 Instant OpenAI

Grok 4.3 xAI

Gemini 3.1 Pro Google

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-6 Astra OpenAI

Choosing the Right OCR Strategy for Financial Documents

Decision Factors Beyond Extraction

Frequently Asked Questions

Related model pricing

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