Enterprise OCR Cost: Mistral OCR 3 for 10,000 Annual 10-K Reports

Complete Analysis: 60,000 tokens for Mistral OCR 3
🖼️ 100000 Images ⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for Mistral AI's Mistral OCR 3 model with 100000 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.100000 Total Cost
60,000 Total Tokens
3 minutes, 20.18 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)
20%
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

$0.000000 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
60,000Total Tokens
$0.000017Cost per 1K
60,000,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 20s 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
🖼️ 100000 Image (Medium) ⚡ 20% 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 10,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $0.100000
  • Total Cost: $0.100000
  • Cost per 1K tokens: $0.001667
  • Tokens per dollar: 600,000 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, 20.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Best for extracting tables and structured data from dense financial documents for downstream RAG and quantitative analysis.

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to Mistral OCR 3
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 10,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 100000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Mistral OCR 3
🏆 Mistral Small 3
Mistral AI
$1.059575 Best Value ↑ 959.6% more
🥈 Ministral 3 (14B)
Mistral AI
$2.118250 (rounded ~ $2.12) ↑ 2018.3% more
🥉 Gemini 3.1 Flash Lite
Google
$2.650813 ↑ 2550.8% more
#4 Gemini 3.5 Flash-Lite
Google
$3.182725 (rounded ~ $3.18) ↑ 3082.7% more
#5 Gemini 2.5 Flash
Google
$3.182725 (rounded ~ $3.18) ↑ 3082.7% more
#6 Mistral Large 3
Mistral AI
$5.298125 (rounded ~ $5.30) ↑ 5198.1% more
#7 Gemini 3.8 Flash
Google
$7.950563 ↑ 7850.6% more
#8 GPT-5.4 mini
OpenAI
$7.952438 (rounded ~ $7.95) ↑ 7852.4% more
#9 o4-mini Deep Research
OpenAI
$10.598250 (rounded ~ $10.60) ↑ 10498.3% more
#10 Claude Haiku 4.5
Anthropic
$10.600750 ↑ 10500.8% more
#11 GPT-5.6 Luna
OpenAI
$10.603250 (rounded ~ $10.60) ↑ 10503.3% more
#12 o4-mini
OpenAI
$11.658075 (rounded ~ $11.66) ↑ 11558.1% more
#13 Gemini 3.6 Flash
Google
$15.901125 (rounded ~ $15.90) ↑ 15801.1% more
#14 Gemini 3.5 Flash
Google
$15.904875 (rounded ~ $15.90) ↑ 15804.9% more
#15 GPT-5.3 Codex Spark
OpenAI
$18.564438 (rounded ~ $18.56) ↑ 18464.4% more
#16 GPT-5.3 Instant
OpenAI
$18.564438 (rounded ~ $18.56) ↑ 18464.4% more
#17 Claude Sonnet 5
Anthropic
$21.201500 (rounded ~ $21.20) ↑ 21101.5% more
#18 Gemini 3.1 Flash
Google
$21.206500 (rounded ~ $21.21) ↑ 21106.5% more
#19 GPT-5.6 Terra
OpenAI
$26.508125 (rounded ~ $26.51) ↑ 26408.1% more
#20 Claude Sonnet 4.6
Anthropic
$31.802250 (rounded ~ $31.80) ↑ 31702.3% more
#21 Claude Opus 4.7
Anthropic
$53.003750 (rounded ~ $53.00) ↑ 52903.8% more
#22 Claude Opus 5
Anthropic
$53.003750 (rounded ~ $53.00) ↑ 52903.8% more
#23 Claude Opus 4.8
Anthropic
$53.003750 (rounded ~ $53.00) ↑ 52903.8% more
#24 Claude Opus 4.6
Anthropic
$53.003750 (rounded ~ $53.00) ↑ 52903.8% more
#25 Gemini 2.5 Pro
Google
$53.016250 (rounded ~ $53.02) ↑ 52916.3% more
#26 GPT-5.5 Instant
OpenAI
$53.016250 (rounded ~ $53.02) ↑ 52916.3% more
#27 GPT-5.6 Sol
OpenAI
$53.016250 (rounded ~ $53.02) ↑ 52916.3% more
#28 Grok 4.3
xAI
$84.746000 (rounded ~ $84.75) ↑ 84646% more
#29 Gemini 3.1 Pro
Google
$84.796000 (rounded ~ $84.80) ↑ 84696% more
#30 Claude Fable 5.1
Anthropic
$104.070625 ↑ 103970.6% more
#31 Claude Mythos 5.1
Anthropic
$104.070625 ↑ 103970.6% more
#32 o3 Deep Research
OpenAI
$105.982500 (rounded ~ $105.98) ↑ 105882.5% more
#33 GPT-5.4
OpenAI
$105.995000 (rounded ~ $106.00) ↑ 105895% more
#34 GPT-5.4 Thinking
OpenAI
$105.995000 (rounded ~ $106.00) ↑ 105895% more
#35 Claude Fable 5
Anthropic
$106.007500 (rounded ~ $106.01) ↑ 105907.5% more
#36 Claude Mythos 5
Anthropic
$106.007500 (rounded ~ $106.01) ↑ 105907.5% more
#37 o3 Pro
OpenAI
$211.965000 (rounded ~ $211.97) ↑ 211865% more
#38 GPT-5.5
OpenAI
$211.990000 ↑ 211890% more
#39 GPT-5.2 Pro
OpenAI
$222.773250 (rounded ~ $222.77) ↑ 222673.3% more
#40 GPT-6 Astra
OpenAI
$424.030000 ↑ 423930% more
#41 GPT-6 Astra
OpenAI
$424.030000 ↑ 423930% more
🏆

Mistral Small 3
Mistral AI

$1.059575
vs Mistral OCR 3: ↑ 959.6%
🥈

Ministral 3 (14B)
Mistral AI

$2.118250 (rounded ~ $2.12)
vs Mistral OCR 3: ↑ 2018.3%
🥉

Gemini 3.1 Flash Lite
Google

$2.650813
vs Mistral OCR 3: ↑ 2550.8%
#4

Gemini 3.5 Flash-Lite
Google

$3.182725 (rounded ~ $3.18)
vs Mistral OCR 3: ↑ 3082.7%
#5

Gemini 2.5 Flash
Google

$3.182725 (rounded ~ $3.18)
vs Mistral OCR 3: ↑ 3082.7%
#6

Mistral Large 3
Mistral AI

$5.298125 (rounded ~ $5.30)
vs Mistral OCR 3: ↑ 5198.1%
#7

Gemini 3.8 Flash
Google

$7.950563
vs Mistral OCR 3: ↑ 7850.6%
#8

GPT-5.4 mini
OpenAI

$7.952438 (rounded ~ $7.95)
vs Mistral OCR 3: ↑ 7852.4%
#9

o4-mini Deep Research
OpenAI

$10.598250 (rounded ~ $10.60)
vs Mistral OCR 3: ↑ 10498.3%
#10

Claude Haiku 4.5
Anthropic

$10.600750
vs Mistral OCR 3: ↑ 10500.8%
#11

GPT-5.6 Luna
OpenAI

$10.603250 (rounded ~ $10.60)
vs Mistral OCR 3: ↑ 10503.3%
#12

o4-mini
OpenAI

$11.658075 (rounded ~ $11.66)
vs Mistral OCR 3: ↑ 11558.1%
#13

Gemini 3.6 Flash
Google

$15.901125 (rounded ~ $15.90)
vs Mistral OCR 3: ↑ 15801.1%
#14

Gemini 3.5 Flash
Google

$15.904875 (rounded ~ $15.90)
vs Mistral OCR 3: ↑ 15804.9%
#15

GPT-5.3 Codex Spark
OpenAI

$18.564438 (rounded ~ $18.56)
vs Mistral OCR 3: ↑ 18464.4%
#16

GPT-5.3 Instant
OpenAI

$18.564438 (rounded ~ $18.56)
vs Mistral OCR 3: ↑ 18464.4%
#17

Claude Sonnet 5
Anthropic

$21.201500 (rounded ~ $21.20)
vs Mistral OCR 3: ↑ 21101.5%
#18

Gemini 3.1 Flash
Google

$21.206500 (rounded ~ $21.21)
vs Mistral OCR 3: ↑ 21106.5%
#19

GPT-5.6 Terra
OpenAI

$26.508125 (rounded ~ $26.51)
vs Mistral OCR 3: ↑ 26408.1%
#20

Claude Sonnet 4.6
Anthropic

$31.802250 (rounded ~ $31.80)
vs Mistral OCR 3: ↑ 31702.3%
#21

Claude Opus 4.7
Anthropic

$53.003750 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52903.8%
#22

Claude Opus 5
Anthropic

$53.003750 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52903.8%
#23

Claude Opus 4.8
Anthropic

$53.003750 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52903.8%
#24

Claude Opus 4.6
Anthropic

$53.003750 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52903.8%
#25

Gemini 2.5 Pro
Google

$53.016250 (rounded ~ $53.02)
vs Mistral OCR 3: ↑ 52916.3%
#26

GPT-5.5 Instant
OpenAI

$53.016250 (rounded ~ $53.02)
vs Mistral OCR 3: ↑ 52916.3%
#27

GPT-5.6 Sol
OpenAI

$53.016250 (rounded ~ $53.02)
vs Mistral OCR 3: ↑ 52916.3%
#28

Grok 4.3
xAI

$84.746000 (rounded ~ $84.75)
vs Mistral OCR 3: ↑ 84646%
#29

Gemini 3.1 Pro
Google

$84.796000 (rounded ~ $84.80)
vs Mistral OCR 3: ↑ 84696%
#30

Claude Fable 5.1
Anthropic

$104.070625
vs Mistral OCR 3: ↑ 103970.6%
#31

Claude Mythos 5.1
Anthropic

$104.070625
vs Mistral OCR 3: ↑ 103970.6%
#32

o3 Deep Research
OpenAI

$105.982500 (rounded ~ $105.98)
vs Mistral OCR 3: ↑ 105882.5%
#33

GPT-5.4
OpenAI

$105.995000 (rounded ~ $106.00)
vs Mistral OCR 3: ↑ 105895%
#34

GPT-5.4 Thinking
OpenAI

$105.995000 (rounded ~ $106.00)
vs Mistral OCR 3: ↑ 105895%
#35

Claude Fable 5
Anthropic

$106.007500 (rounded ~ $106.01)
vs Mistral OCR 3: ↑ 105907.5%
#36

Claude Mythos 5
Anthropic

$106.007500 (rounded ~ $106.01)
vs Mistral OCR 3: ↑ 105907.5%
#37

o3 Pro
OpenAI

$211.965000 (rounded ~ $211.97)
vs Mistral OCR 3: ↑ 211865%
#38

GPT-5.5
OpenAI

$211.990000
vs Mistral OCR 3: ↑ 211890%
#39

GPT-5.2 Pro
OpenAI

$222.773250 (rounded ~ $222.77)
vs Mistral OCR 3: ↑ 222673.3%
#40

GPT-6 Astra
OpenAI

$424.030000
vs Mistral OCR 3: ↑ 423930%
#41

GPT-6 Astra
OpenAI

$424.030000
vs Mistral OCR 3: ↑ 423930%
✨ 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 data extraction across thousands of 10-K filings requires a robust, high-fidelity OCR solution that preserves document structure. Mistral OCR 3 has emerged as a specialized tool for this exact requirement, focusing on structural fidelity—maintaining the integrity of tables, formulas, and complex document layouts—rather than just raw text transcription. This precision is critical when your downstream models depend on correctly aligned financial data for quantitative analysis.

For an enterprise managing 10,000 annual reports, the challenge isn’t just volume; it is the degradation of data quality in older or scanned documents. Mistral OCR 3 excels here by outputting structured formats like Markdown or HTML, which are significantly easier for secondary models (or database ingestion pipelines) to map into a relational structure. This capability bridges the gap between raw, unstructured PDF files and clean, machine-readable datasets.

Choosing Mistral OCR 3 for high-volume pipelines allows teams to offload the document-parsing burden from their primary reasoning models. By delegating the extraction and structuring phase to a specialized OCR model, you ensure that your main LLMs—like Claude or Gemini—receive higher-quality input, which inherently reduces hallucination risks and improves the accuracy of financial insights. This separation of concerns is a standard architectural pattern for teams aiming to process massive archives of historical earnings reports with high programmatic reliability.

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.