Enterprise OCR Cost: Mistral OCR 3 vs Claude Sonnet 4.6 for 100,000 Financial Filings Monthly

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5 pricing →  ·  All recent pricing changes

Mistral OCR 3 vs Claude Sonnet 4.6
Complete Comparison: 500,000 input tokens × 2,000 output tokens
Comparison Mode
🖼️ 100000 Images ⚡ 85% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100000 Images, 85% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Mistral OCR 3
Mistral AI
Claude Sonnet 4.6
Anthropic
Calculation Results (Current Inputs) (100000 images, 85% cached)
Input Tokens N/A (Special Pricing) 500,000
Output Tokens N/A (Special Pricing) 2,000
Cost Breakdown
Input Cost N/A (Special Pricing) $39.075000 (rounded ~ $39.08)
Output Cost N/A (Special Pricing) $0.007500 (rounded ~ $0.01)
Unit Cost (Audio/OCR) $0.100000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.100000 Best Value $9.190125 Most Expensive
Processing Time 27 minutes, 53.51 seconds Fastest 32 hours, 48 minutes, 18.05 seconds Slowest
Tokens per Second N/A (Special Pricing) 450
Time to First Token 200ms 200ms
Cost per 1K tokens N/A (Special Pricing) $0.000176
Tokens per Dollar N/A (Special Pricing) 5,669,346
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $0.750000
Output Cost / 1M (Base) N/A (Special Pricing) $3.750000
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.375000 (rounded ~ $0.38)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $1.875000 (rounded ~ $1.88)
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
100000
✓ Supported ✓ Supported
OCR Support ✓ Supported ✗ Not Supported
Caching Support
85
✗ 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)
85%
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
502,000Total Tokens
$0.000002Cost per 1K
502,000,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

27m 53s 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
🖼️ 100000 Image (Medium) ⚡ 85% 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 500,000 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: $0.000199
  • Tokens per dollar: 5,020,000 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: 27 minutes, 53.51 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Use Mistral OCR 3 for initial document parsing and table extraction; use Claude Sonnet 4.6 for subsequent financial analysis and reasoning.

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 →

Claude Sonnet 4.6 Anthropic 1000000

$9.190125
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 100000 Image (Medium) ⚡ 85% Cached 📊 Batch API
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $39.082500 (rounded ~ $39.08) Input: $39.075000 (rounded ~ $39.08)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $9.190125 Input: $39.075000 (rounded ~ $39.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $29.892375 (rounded ~ $29.89) 76.5% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input
$0.000000
51,600,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount

Multimodal Input Details

🖼️ Images
Count: 100000
Resolution: Medium
Tokens: 51,600,000
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $39.075000 (rounded ~ $39.08)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $9.190125
  • Cost per 1K tokens: $0.000176
  • Tokens per dollar: 5,669,346 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 32 hours, 48 minutes, 18.05 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Use Mistral OCR 3 for initial document parsing and table extraction; use Claude Sonnet 4.6 for subsequent financial analysis and reasoning.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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: 500,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 85%
Images: 100000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Mistral OCR 3 vs Claude Sonnet 4.6
🏆 Gemini 3.1 Flash Lite
Google
 $0.765969 (rounded ~ $0.77) Best Value ↑ 666% more ↓ 91.7% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.919513 ↑ 819.5% more ↓ 90% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.919513 ↑ 819.5% more ↓ 90% cheaper
#4 Gemini 3.8 Flash
Google
 $2.297531 (rounded ~ $2.30) ↑ 2197.5% more ↓ 75% cheaper
#5 GPT-5.6 Luna
OpenAI
 $3.063875 (rounded ~ $3.06) ↑ 2963.9% more ↓ 66.7% cheaper
#6 Gemini 3.6 Flash
Google
 $4.595063 (rounded ~ $4.60) ↑ 4495.1% more ↓ 50% cheaper
#7 Gemini 3.5 Flash
Google
 $4.595813 (rounded ~ $4.60) ↑ 4495.8% more ↓ 50% cheaper
#8 Claude Sonnet 5
Anthropic
 $6.126750 (rounded ~ $6.13) ↑ 6026.8% more ↓ 33.3% cheaper
#9 Gemini 3.1 Flash
Google
 $6.127750 (rounded ~ $6.13) ↑ 6027.8% more ↓ 33.3% cheaper
#10 GPT-5.6 Terra
OpenAI
 $7.659688 ↑ 7559.7% more ↓ 16.7% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $9.190125 ↑ 9090.1% more Same price
#12 Claude Opus 4.7
Anthropic
 $15.316875 (rounded ~ $15.32) ↑ 15216.9% more ↑ 66.7% more
#13 Claude Opus 5
Anthropic
 $15.316875 (rounded ~ $15.32) ↑ 15216.9% more ↑ 66.7% more
#14 Claude Opus 4.8
Anthropic
 $15.316875 (rounded ~ $15.32) ↑ 15216.9% more ↑ 66.7% more
#15 Claude Opus 4.6
Anthropic
 $15.316875 (rounded ~ $15.32) ↑ 15216.9% more ↑ 66.7% more
#16 Gemini 2.5 Pro
Google
 $15.319375 ↑ 15219.4% more ↑ 66.7% more
#17 GPT-5.6 Sol
OpenAI
 $15.319375 ↑ 15219.4% more ↑ 66.7% more
#18 Claude Fable 5.1
Anthropic
 $22.330313 ↑ 22230.3% more ↑ 143% more
#19 Claude Mythos 5.1
Anthropic
 $22.330313 ↑ 22230.3% more ↑ 143% more
#20 Grok 4.3
xAI
 $24.495000 (rounded ~ $24.50) ↑ 24395% more ↑ 166.5% more
#21 Gemini 3.1 Pro
Google
 $24.505000 (rounded ~ $24.51) ↑ 24405% more ↑ 166.6% more
#22 GPT-5.4
OpenAI
 $30.631250 (rounded ~ $30.63) ↑ 30531.3% more ↑ 233.3% more
#23 GPT-5.4 Thinking
OpenAI
 $30.631250 (rounded ~ $30.63) ↑ 30531.3% more ↑ 233.3% more
#24 Claude Fable 5
Anthropic
 $30.633750 (rounded ~ $30.63) ↑ 30533.8% more ↑ 233.3% more
#25 Claude Mythos 5
Anthropic
 $30.633750 (rounded ~ $30.63) ↑ 30533.8% more ↑ 233.3% more
#26 GPT-5.5
OpenAI
 $61.262500 (rounded ~ $61.26) ↑ 61162.5% more ↑ 566.6% more
#27 GPT-6 Astra
OpenAI
 $122.535000 (rounded ~ $122.54) ↑ 122435% more ↑ 1233.3% more
#28 GPT-6 Astra
OpenAI
 $122.535000 (rounded ~ $122.54) ↑ 122435% more ↑ 1233.3% more
🏆

Gemini 3.1 Flash Lite
Google

$0.765969 (rounded ~ $0.77)
vs Mistral OCR 3: ↑ 666%
vs Claude Sonnet 4.6: ↓ 91.7%
🥈

Gemini 3.5 Flash-Lite
Google

$0.919513
vs Mistral OCR 3: ↑ 819.5%
vs Claude Sonnet 4.6: ↓ 90%
🥉

Gemini 2.5 Flash
Google

$0.919513
vs Mistral OCR 3: ↑ 819.5%
vs Claude Sonnet 4.6: ↓ 90%
#4

Gemini 3.8 Flash
Google

$2.297531 (rounded ~ $2.30)
vs Mistral OCR 3: ↑ 2197.5%
vs Claude Sonnet 4.6: ↓ 75%
#5

GPT-5.6 Luna
OpenAI

$3.063875 (rounded ~ $3.06)
vs Mistral OCR 3: ↑ 2963.9%
vs Claude Sonnet 4.6: ↓ 66.7%
#6

Gemini 3.6 Flash
Google

$4.595063 (rounded ~ $4.60)
vs Mistral OCR 3: ↑ 4495.1%
vs Claude Sonnet 4.6: ↓ 50%
#7

Gemini 3.5 Flash
Google

$4.595813 (rounded ~ $4.60)
vs Mistral OCR 3: ↑ 4495.8%
vs Claude Sonnet 4.6: ↓ 50%
#8

Claude Sonnet 5
Anthropic

$6.126750 (rounded ~ $6.13)
vs Mistral OCR 3: ↑ 6026.8%
vs Claude Sonnet 4.6: ↓ 33.3%
#9

Gemini 3.1 Flash
Google

$6.127750 (rounded ~ $6.13)
vs Mistral OCR 3: ↑ 6027.8%
vs Claude Sonnet 4.6: ↓ 33.3%
#10

GPT-5.6 Terra
OpenAI

$7.659688
vs Mistral OCR 3: ↑ 7559.7%
vs Claude Sonnet 4.6: ↓ 16.7%
#11

Claude Sonnet 4.6
Anthropic

$9.190125
vs Mistral OCR 3: ↑ 9090.1%
vs Claude Sonnet 4.6: Same
#12

Claude Opus 4.7
Anthropic

$15.316875 (rounded ~ $15.32)
vs Mistral OCR 3: ↑ 15216.9%
vs Claude Sonnet 4.6: ↑ 66.7%
#13

Claude Opus 5
Anthropic

$15.316875 (rounded ~ $15.32)
vs Mistral OCR 3: ↑ 15216.9%
vs Claude Sonnet 4.6: ↑ 66.7%
#14

Claude Opus 4.8
Anthropic

$15.316875 (rounded ~ $15.32)
vs Mistral OCR 3: ↑ 15216.9%
vs Claude Sonnet 4.6: ↑ 66.7%
#15

Claude Opus 4.6
Anthropic

$15.316875 (rounded ~ $15.32)
vs Mistral OCR 3: ↑ 15216.9%
vs Claude Sonnet 4.6: ↑ 66.7%
#16

Gemini 2.5 Pro
Google

$15.319375
vs Mistral OCR 3: ↑ 15219.4%
vs Claude Sonnet 4.6: ↑ 66.7%
#17

GPT-5.6 Sol
OpenAI

$15.319375
vs Mistral OCR 3: ↑ 15219.4%
vs Claude Sonnet 4.6: ↑ 66.7%
#18

Claude Fable 5.1
Anthropic

$22.330313
vs Mistral OCR 3: ↑ 22230.3%
vs Claude Sonnet 4.6: ↑ 143%
#19

Claude Mythos 5.1
Anthropic

$22.330313
vs Mistral OCR 3: ↑ 22230.3%
vs Claude Sonnet 4.6: ↑ 143%
#20

Grok 4.3
xAI

$24.495000 (rounded ~ $24.50)
vs Mistral OCR 3: ↑ 24395%
vs Claude Sonnet 4.6: ↑ 166.5%
#21

Gemini 3.1 Pro
Google

$24.505000 (rounded ~ $24.51)
vs Mistral OCR 3: ↑ 24405%
vs Claude Sonnet 4.6: ↑ 166.6%
#22

GPT-5.4
OpenAI

$30.631250 (rounded ~ $30.63)
vs Mistral OCR 3: ↑ 30531.3%
vs Claude Sonnet 4.6: ↑ 233.3%
#23

GPT-5.4 Thinking
OpenAI

$30.631250 (rounded ~ $30.63)
vs Mistral OCR 3: ↑ 30531.3%
vs Claude Sonnet 4.6: ↑ 233.3%
#24

Claude Fable 5
Anthropic

$30.633750 (rounded ~ $30.63)
vs Mistral OCR 3: ↑ 30533.8%
vs Claude Sonnet 4.6: ↑ 233.3%
#25

Claude Mythos 5
Anthropic

$30.633750 (rounded ~ $30.63)
vs Mistral OCR 3: ↑ 30533.8%
vs Claude Sonnet 4.6: ↑ 233.3%
#26

GPT-5.5
OpenAI

$61.262500 (rounded ~ $61.26)
vs Mistral OCR 3: ↑ 61162.5%
vs Claude Sonnet 4.6: ↑ 566.6%
#27

GPT-6 Astra
OpenAI

$122.535000 (rounded ~ $122.54)
vs Mistral OCR 3: ↑ 122435%
vs Claude Sonnet 4.6: ↑ 1233.3%
#28

GPT-6 Astra
OpenAI

$122.535000 (rounded ~ $122.54)
vs Mistral OCR 3: ↑ 122435%
vs Claude Sonnet 4.6: ↑ 1233.3%
✨ 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.

Scaling Financial Document Analysis

Parsing 100,000 financial filings monthly requires a two-pronged strategy: high-fidelity document conversion and deep analytical reasoning. Mistral OCR 3 excels at the ingestion phase, offering specialized table reconstruction and handwriting recognition that general-purpose models often struggle to resolve in dense, multi-page 10-K filings. For enterprise architects, this makes Mistral OCR 3 the optimal choice for the ‘ingestion layer’—where raw PDFs are converted into clean, structured data with high structural integrity.

Claude Sonnet 4.6, by contrast, shines in the ‘analytical layer.’ While it features strong vision and document comprehension capabilities, its primary strength lies in its ability to synthesize, reason, and extract financial insights from the structured outputs provided by the OCR layer. When processing 100,000 documents, the efficiency gains come from keeping the heavy lifting—the image-to-text reconstruction—isolated to a specialized model. Using Claude Sonnet 4.6 for the downstream reasoning, anomaly detection, and KPI extraction allows teams to balance cost and accuracy effectively.

For high-volume production pipelines, a tiered approach is the architecture that delivers the most reliable results. By offloading the initial structural parsing to Mistral OCR 3, you ensure that the downstream reasoning agent (Claude Sonnet 4.6) receives pristine data. This separation of concerns is vital for enterprise-scale financial operations, where document fidelity is binary: it is either usable for downstream logic or it is not.

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.

Related model pricing

Mistral OCR 3 currently costs $0.00 / $0.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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