Enterprise OCR Cost: Mistral OCR 3 for 1 Million PDFs

Complete Analysis: 0 tokens for Mistral OCR 3
🖼️ 1000000 Images

Complete analysis of pricing, performance, and use cases for Mistral AI's Mistral OCR 3 model with 1000000 Images.

🖼️ Multimodal Input 📊 Batch API
$0.100000 Total Cost
0 Total Tokens
0.18 seconds Processing Time

Click Recalculate to update after making changes

Select AI Model

Mistral OCR 3
Mistral AIMax Context: 65,536 tokens
$2.00/1,000 pages per 1,000 pages (batch: 50% off)
▼
▼
Use Batch API (50% discount)
0%
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
Number of pages to process. First 5k pages: $2.00/1k pages, after: $1.50/1k pages. Batch API: 50% discount applies.

Calculate Token Costs

$0.001000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$0.001000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
0Total Tokens
$0.000000Cost per 1K
0Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

180ms Processing Time
300 Tokens/Second
200ms Time to First Token
300 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

Mistral OCR 3 Mistral AI

$0.100000
Total Cost
🖼️ 1000000 Image (Medium) 📊 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 0 input tokens and 0 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $0.100000
  • Total Cost: $0.100000
  • Cost per 1K tokens: $0.000000
  • Tokens per dollar: 0 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: 0.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Automating the digitization of messytable-heavyor handwritten financial documents for downstream RAG systems.

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✨ Market Recommendations AI Model Registry

← Back to Mistral OCR 3
📋 Active Input Parameters
Input Tokens: 0
Output Tokens: 0
Batch API: Enabled (50% discount)
Images: 1000000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Mistral OCR 3
🏆 Mistral Small 3
Mistral AI
 $12.900000 Best Value ↑ 12800% more
🥈 Ministral 3 (14B)
Mistral AI
 $25.800100 ↑ 25700.1% more
🥉 Gemini 3.1 Flash Lite
Google
 $32.250000 ↑ 32150% more
#4 Gemini 2.5 Flash
Google
 $38.700000 ↑ 38600% more
#5 Mistral Large 3
Mistral AI
 $64.500250 ↑ 64400.3% more
#6 GPT-5.4 mini
OpenAI
 $96.750000 ↑ 96650% more
#7 o4-mini Deep Research
OpenAI
 $129.000000 ↑ 128900% more
#8 Claude Haiku 4.5
Anthropic
 $129.000000 ↑ 128900% more
#9 o4-mini
OpenAI
 $141.900000 ↑ 141800% more
#10 Grok 4.3
xAI
 $161.250000 ↑ 161150% more
#11 Gemini 3.5 Flash
Google
 $193.500000 ↑ 193400% more
#12 GPT-5.3 Codex Spark
OpenAI
 $225.750000 ↑ 225650% more
#13 GPT-5.3 Instant
OpenAI
 $225.750000 ↑ 225650% more
#14 Llama 4 Maverick (400B)
Meta AI
 $241.500000 ↑ 241400% more
#15 Gemini 3.1 Flash
Google
 $258.000000 ↑ 257900% more
#16 Claude Sonnet 4.6
Anthropic
 $387.000000 ↑ 386900% more
#17 Claude Opus 4.7
Anthropic
 $645.000000 ↑ 644900% more
#18 Claude Opus 4.8
Anthropic
 $645.000000 ↑ 644900% more
#19 Claude Opus 4.6
Anthropic
 $645.000000 ↑ 644900% more
#20 Gemini 2.5 Pro
Google
 $645.000000 ↑ 644900% more
#21 GPT-5.5 Instant
OpenAI
 $645.000000 ↑ 644900% more
#22 Gemini 3.1 Pro
Google
 $1032.000000 ↑ 1031900% more
#23 GPT-5.4
OpenAI
 $1290.000000 ↑ 1289900% more
#24 GPT-5.4 Thinking
OpenAI
 $1290.000000 ↑ 1289900% more
#25 o3 Deep Research
OpenAI
 $1290.000000 ↑ 1289900% more
#26 GPT-5.5
OpenAI
 $2580.000000 ↑ 2579900% more
#27 o3 Pro
OpenAI
 $2580.000000 ↑ 2579900% more
#28 GPT-5.2 Pro
OpenAI
 $2709.000000 ↑ 2708900% more
#29 GPT-5.5 Pro
OpenAI
 $3870.000000 ↑ 3869900% more
#30 GPT-5.4 Pro
OpenAI
 $15480.000000 ↑ 15479900% more
#31 GPT-5.4 Pro
OpenAI
 $15480.000000 ↑ 15479900% more
🏆

Mistral Small 3
Mistral AI

$12.900000
vs Mistral OCR 3: ↑ 12800%
🥈

Ministral 3 (14B)
Mistral AI

$25.800100
vs Mistral OCR 3: ↑ 25700.1%
🥉

Gemini 3.1 Flash Lite
Google

$32.250000
vs Mistral OCR 3: ↑ 32150%
#4

Gemini 2.5 Flash
Google

$38.700000
vs Mistral OCR 3: ↑ 38600%
#5

Mistral Large 3
Mistral AI

$64.500250
vs Mistral OCR 3: ↑ 64400.3%
#6

GPT-5.4 mini
OpenAI

$96.750000
vs Mistral OCR 3: ↑ 96650%
#7

o4-mini Deep Research
OpenAI

$129.000000
vs Mistral OCR 3: ↑ 128900%
#8

Claude Haiku 4.5
Anthropic

$129.000000
vs Mistral OCR 3: ↑ 128900%
#9

o4-mini
OpenAI

$141.900000
vs Mistral OCR 3: ↑ 141800%
#10

Grok 4.3
xAI

$161.250000
vs Mistral OCR 3: ↑ 161150%
#11

Gemini 3.5 Flash
Google

$193.500000
vs Mistral OCR 3: ↑ 193400%
#12

GPT-5.3 Codex Spark
OpenAI

$225.750000
vs Mistral OCR 3: ↑ 225650%
#13

GPT-5.3 Instant
OpenAI

$225.750000
vs Mistral OCR 3: ↑ 225650%
#14

Llama 4 Maverick (400B)
Meta AI

$241.500000
vs Mistral OCR 3: ↑ 241400%
#15

Gemini 3.1 Flash
Google

$258.000000
vs Mistral OCR 3: ↑ 257900%
#16

Claude Sonnet 4.6
Anthropic

$387.000000
vs Mistral OCR 3: ↑ 386900%
#17

Claude Opus 4.7
Anthropic

$645.000000
vs Mistral OCR 3: ↑ 644900%
#18

Claude Opus 4.8
Anthropic

$645.000000
vs Mistral OCR 3: ↑ 644900%
#19

Claude Opus 4.6
Anthropic

$645.000000
vs Mistral OCR 3: ↑ 644900%
#20

Gemini 2.5 Pro
Google

$645.000000
vs Mistral OCR 3: ↑ 644900%
#21

GPT-5.5 Instant
OpenAI

$645.000000
vs Mistral OCR 3: ↑ 644900%
#22

Gemini 3.1 Pro
Google

$1032.000000
vs Mistral OCR 3: ↑ 1031900%
#23

GPT-5.4
OpenAI

$1290.000000
vs Mistral OCR 3: ↑ 1289900%
#24

GPT-5.4 Thinking
OpenAI

$1290.000000
vs Mistral OCR 3: ↑ 1289900%
#25

o3 Deep Research
OpenAI

$1290.000000
vs Mistral OCR 3: ↑ 1289900%
#26

GPT-5.5
OpenAI

$2580.000000
vs Mistral OCR 3: ↑ 2579900%
#27

o3 Pro
OpenAI

$2580.000000
vs Mistral OCR 3: ↑ 2579900%
#28

GPT-5.2 Pro
OpenAI

$2709.000000
vs Mistral OCR 3: ↑ 2708900%
#29

GPT-5.5 Pro
OpenAI

$3870.000000
vs Mistral OCR 3: ↑ 3869900%
#30

GPT-5.4 Pro
OpenAI

$15480.000000
vs Mistral OCR 3: ↑ 15479900%
#31

GPT-5.4 Pro
OpenAI

$15480.000000
vs Mistral OCR 3: ↑ 15479900%
✨ 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 organizations dealing with high volumes of legacy financial documents, the bottleneck is rarely the LLM’s reasoning power—it is the quality of the initial OCR. Mistral OCR 3 has emerged as a specialized solution for converting dense, messy PDFs, forms, and handwritten notes into structured, machine-readable data. Unlike traditional OCR that treats documents as flat text, Mistral OCR 3 prioritizes layout analysis, correctly identifying tables, nested hierarchies, and form structures before extraction occurs. This is vital for 10-K filings and custodial statements where data integrity in tables is paramount. At a scale of 1 million PDFs, the cost efficiency of the model, particularly with batch processing, becomes a significant factor in your operational budget. By outputting clean Markdown with HTML table reconstruction, it minimizes the pre-processing logic your team has to write to clean the data before feeding it into your LLM. This model acts as the foundational layer of your document-to-data pipeline, enabling more accurate RAG retrieval because your semantic index is built on high-fidelity structured data rather than broken text blocks. If you are building an automated pipeline for competitive intelligence or document analysis, integrating Mistral OCR 3 allows you to move from low-quality, expensive-to-clean text to high-quality, actionable data at a fraction of the traditional cost.

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 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.