Mistral OCR 3 vs. Grok 4.1: Digitizing 100 Archive Pages

Mistral OCR 3 vs Grok 4.1
Complete Comparison: 50,000 input tokens × 5,000 output tokens
Comparison Mode
🖼️ 100 Images ⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100 Images, 40% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Mistral OCR 3
Mistral AI
Grok 4.1
xAI
Calculation Results (Current Inputs) (100 images, 40% cached)
Input Tokens N/A (Special Pricing) 50,000
Output Tokens N/A (Special Pricing) 5,000
Cost Breakdown
Input Cost N/A (Special Pricing) $0.031750 (rounded ~ $0.03)
Output Cost N/A (Special Pricing) $0.003125
Unit Cost (Audio/OCR) $0.100000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.100000 Most Expensive $0.023445 (rounded ~ $0.02) Best Value
Processing Time 3 minutes, 3.51 seconds Fastest 3 minutes, 27.57 seconds Slowest
Tokens per Second N/A (Special Pricing) 550
Time to First Token 200ms 200ms
Cost per 1K tokens N/A (Special Pricing) $0.000220
Tokens per Dollar N/A (Special Pricing) 4,546,812
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $0.312500 (rounded ~ $0.31)
Output Cost / 1M (Base) N/A (Special Pricing) $0.625000 (rounded ~ $0.63)
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.156250 (rounded ~ $0.16)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $0.312500 (rounded ~ $0.31)
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 ✓ Supported
Caching Support
40
✗ Not Supported requested ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✗ Not Supported ✓ Supported
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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)
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
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
55,000Total Tokens
$0.000018Cost per 1K
55,000,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 3s 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Mistral OCR 3 Mistral AI

$0.100000
Total Cost
🖼️ 100 Image (Medium) ⚡ 40% 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 50,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $0.100000
  • Total Cost: $0.100000
  • Cost per 1K tokens: $0.001818
  • Tokens per dollar: 550,000 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: 3 minutes, 3.51 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Compares a dedicated OCR model against a multimodal model with OCR capabilitieshelping researchers choose between specialized text extraction and broader document understanding for archival digitization.

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.

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Grok 4.1 xAI 1000000

$0.023445 (rounded ~ $0.02)
Total Cost
🖼️ 100 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) $0.034875 (rounded ~ $0.03) Input: $0.031750 (rounded ~ $0.03)
Output: $0.003125
Optimized Cost $0.023445 (rounded ~ $0.02) Input: $0.031750 (rounded ~ $0.03)
Output: $0.003125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.011430 (rounded ~ $0.01) 32.8% 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 50,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.031750 (rounded ~ $0.03)
  • Output Cost: $0.003125
  • Total Cost: $0.023445 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000220
  • Tokens per dollar: 4,546,812 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 550 tokens per second and 200ms time to first token:

  • Processing Time: 3 minutes, 27.57 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 550 tokens/second
  • Effective Throughput: 514 tokens/second (temperature-adjusted)

Best Use Cases

Compares a dedicated OCR model against a multimodal model with OCR capabilitieshelping researchers choose between specialized text extraction and broader document understanding for archival digitization.

Want this applied to YOUR actual stack?

This calculator shows the math for Grok 4.1. 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: 50,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Images: 100 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Mistral OCR 3 vs Grok 4.1
🏆 Mistral Small 3
Mistral AI
 $0.002001 Best Value ↓ 98% cheaper ↓ 91.5% cheaper
🥈 Ministral 3 (14B)
Mistral AI
 $0.003601 ↓ 96.4% cheaper ↓ 84.6% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.005939 (rounded ~ $0.01) ↓ 94.1% cheaper ↓ 74.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.008002 (rounded ~ $0.01) ↓ 92% cheaper ↓ 65.9% cheaper
#5 Mistral Large 3
Mistral AI
 $0.010253 ↓ 89.7% cheaper ↓ 56.3% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.017817 (rounded ~ $0.02) ↓ 82.2% cheaper ↓ 24% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.021256 (rounded ~ $0.02) ↓ 78.7% cheaper ↓ 9.3% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.022506 (rounded ~ $0.02) ↓ 77.5% cheaper ↓ 4% cheaper
#9 o4-mini
OpenAI
 $0.023382 (rounded ~ $0.02) ↓ 76.6% cheaper ↓ 0.3% cheaper
#10 Grok 4.3
xAI
 $0.023445 (rounded ~ $0.02) ↓ 76.6% cheaper Same price
#11 Gemini 3.1 Flash
Google
 $0.023756 (rounded ~ $0.02) ↓ 76.2% cheaper ↑ 1.3% more
#12 Gemini 3.5 Flash
Google
 $0.035634 (rounded ~ $0.04) ↓ 64.4% cheaper ↑ 52% more
#13 GPT-5.3 Codex Spark
OpenAI
 $0.045948 (rounded ~ $0.05) ↓ 54.1% cheaper ↑ 96% more
#14 GPT-5.3 Instant
OpenAI
 $0.045948 (rounded ~ $0.05) ↓ 54.1% cheaper ↑ 96% more
#15 Gemini 2.5 Pro
Google
 $0.065640 (rounded ~ $0.07) ↓ 34.4% cheaper ↑ 180% more
#16 Claude Sonnet 4.6
Anthropic
 $0.067518 (rounded ~ $0.07) ↓ 32.5% cheaper ↑ 188% more
#17 Gemini 3.1 Pro
Google
 $0.095024 (rounded ~ $0.10) ↓ 5% cheaper ↑ 305.3% more
#18 Claude Opus 4.7
Anthropic
 $0.112530 (rounded ~ $0.11) ↑ 12.5% more ↑ 380% more
#19 Claude Opus 4.8
Anthropic
 $0.112530 (rounded ~ $0.11) ↑ 12.5% more ↑ 380% more
#20 Claude Opus 4.6
Anthropic
 $0.112530 (rounded ~ $0.11) ↑ 12.5% more ↑ 380% more
#21 GPT-5.4
OpenAI
 $0.118780 (rounded ~ $0.12) ↑ 18.8% more ↑ 406.6% more
#22 GPT-5.4 Thinking
OpenAI
 $0.118780 (rounded ~ $0.12) ↑ 18.8% more ↑ 406.6% more
#23 GPT-5.5 Instant
OpenAI
 $0.118780 (rounded ~ $0.12) ↑ 18.8% more ↑ 406.6% more
#24 o3 Deep Research
OpenAI
 $0.212560 (rounded ~ $0.21) ↑ 112.6% more ↑ 806.6% more
#25 GPT-5.5
OpenAI
 $0.237560 (rounded ~ $0.24) ↑ 137.6% more ↑ 913.3% more
#26 o3 Pro
OpenAI
 $0.425120 (rounded ~ $0.43) ↑ 325.1% more ↑ 1713.3% more
#27 GPT-5.2 Pro
OpenAI
 $0.551376 (rounded ~ $0.55) ↑ 451.4% more ↑ 2251.8% more
#28 GPT-5.2 Pro
OpenAI
 $0.551376 (rounded ~ $0.55) ↑ 451.4% more ↑ 2251.8% more
🏆

Mistral Small 3
Mistral AI

$0.002001
vs Mistral OCR 3: ↓ 98%
vs Grok 4.1: ↓ 91.5%
🥈

Ministral 3 (14B)
Mistral AI

$0.003601
vs Mistral OCR 3: ↓ 96.4%
vs Grok 4.1: ↓ 84.6%
🥉

Gemini 3.1 Flash Lite
Google

$0.005939 (rounded ~ $0.01)
vs Mistral OCR 3: ↓ 94.1%
vs Grok 4.1: ↓ 74.7%
#4

Gemini 2.5 Flash
Google

$0.008002 (rounded ~ $0.01)
vs Mistral OCR 3: ↓ 92%
vs Grok 4.1: ↓ 65.9%
#5

Mistral Large 3
Mistral AI

$0.010253
vs Mistral OCR 3: ↓ 89.7%
vs Grok 4.1: ↓ 56.3%
#6

GPT-5.4 mini
OpenAI

$0.017817 (rounded ~ $0.02)
vs Mistral OCR 3: ↓ 82.2%
vs Grok 4.1: ↓ 24%
#7

o4-mini Deep Research
OpenAI

$0.021256 (rounded ~ $0.02)
vs Mistral OCR 3: ↓ 78.7%
vs Grok 4.1: ↓ 9.3%
#8

Claude Haiku 4.5
Anthropic

$0.022506 (rounded ~ $0.02)
vs Mistral OCR 3: ↓ 77.5%
vs Grok 4.1: ↓ 4%
#9

o4-mini
OpenAI

$0.023382 (rounded ~ $0.02)
vs Mistral OCR 3: ↓ 76.6%
vs Grok 4.1: ↓ 0.3%
#10

Grok 4.3
xAI

$0.023445 (rounded ~ $0.02)
vs Mistral OCR 3: ↓ 76.6%
vs Grok 4.1: Same
#11

Gemini 3.1 Flash
Google

$0.023756 (rounded ~ $0.02)
vs Mistral OCR 3: ↓ 76.2%
vs Grok 4.1: ↑ 1.3%
#12

Gemini 3.5 Flash
Google

$0.035634 (rounded ~ $0.04)
vs Mistral OCR 3: ↓ 64.4%
vs Grok 4.1: ↑ 52%
#13

GPT-5.3 Codex Spark
OpenAI

$0.045948 (rounded ~ $0.05)
vs Mistral OCR 3: ↓ 54.1%
vs Grok 4.1: ↑ 96%
#14

GPT-5.3 Instant
OpenAI

$0.045948 (rounded ~ $0.05)
vs Mistral OCR 3: ↓ 54.1%
vs Grok 4.1: ↑ 96%
#15

Gemini 2.5 Pro
Google

$0.065640 (rounded ~ $0.07)
vs Mistral OCR 3: ↓ 34.4%
vs Grok 4.1: ↑ 180%
#16

Claude Sonnet 4.6
Anthropic

$0.067518 (rounded ~ $0.07)
vs Mistral OCR 3: ↓ 32.5%
vs Grok 4.1: ↑ 188%
#17

Gemini 3.1 Pro
Google

$0.095024 (rounded ~ $0.10)
vs Mistral OCR 3: ↓ 5%
vs Grok 4.1: ↑ 305.3%
#18

Claude Opus 4.7
Anthropic

$0.112530 (rounded ~ $0.11)
vs Mistral OCR 3: ↑ 12.5%
vs Grok 4.1: ↑ 380%
#19

Claude Opus 4.8
Anthropic

$0.112530 (rounded ~ $0.11)
vs Mistral OCR 3: ↑ 12.5%
vs Grok 4.1: ↑ 380%
#20

Claude Opus 4.6
Anthropic

$0.112530 (rounded ~ $0.11)
vs Mistral OCR 3: ↑ 12.5%
vs Grok 4.1: ↑ 380%
#21

GPT-5.4
OpenAI

$0.118780 (rounded ~ $0.12)
vs Mistral OCR 3: ↑ 18.8%
vs Grok 4.1: ↑ 406.6%
#22

GPT-5.4 Thinking
OpenAI

$0.118780 (rounded ~ $0.12)
vs Mistral OCR 3: ↑ 18.8%
vs Grok 4.1: ↑ 406.6%
#23

GPT-5.5 Instant
OpenAI

$0.118780 (rounded ~ $0.12)
vs Mistral OCR 3: ↑ 18.8%
vs Grok 4.1: ↑ 406.6%
#24

o3 Deep Research
OpenAI

$0.212560 (rounded ~ $0.21)
vs Mistral OCR 3: ↑ 112.6%
vs Grok 4.1: ↑ 806.6%
#25

GPT-5.5
OpenAI

$0.237560 (rounded ~ $0.24)
vs Mistral OCR 3: ↑ 137.6%
vs Grok 4.1: ↑ 913.3%
#26

o3 Pro
OpenAI

$0.425120 (rounded ~ $0.43)
vs Mistral OCR 3: ↑ 325.1%
vs Grok 4.1: ↑ 1713.3%
#27

GPT-5.2 Pro
OpenAI

$0.551376 (rounded ~ $0.55)
vs Mistral OCR 3: ↑ 451.4%
vs Grok 4.1: ↑ 2251.8%
#28

GPT-5.2 Pro
OpenAI

$0.551376 (rounded ~ $0.55)
vs Mistral OCR 3: ↑ 451.4%
vs Grok 4.1: ↑ 2251.8%
✨ 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.

When digitizing legacy archives, selecting the right OCR tool can significantly impact accuracy and efficiency. Mistral OCR 3 stands out as a dedicated OCR model, designed to interpret text, tables, and even handwriting with notable accuracy, aiming for around 90% on clear documents. Its focus is on robust text extraction, making it a strong contender for straightforward digitization tasks. On the other hand, Grok 4.1 offers broader multimodal capabilities, including OCR, which can be advantageous if your archival research involves analyzing documents with complex visual elements or requiring deeper contextual understanding beyond simple text extraction. For researchers working with limited sets of documents, comparing these two offers a choice between a specialized OCR solution and a more generalist model with OCR integrated. The decision may hinge on whether the primary need is pure text extraction accuracy or a more holistic document analysis capability.

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.