Historical Document OCR Pricing: Mistral OCR 3 (Tier 2)

Complete Analysis: 0 tokens for Mistral OCR 3
🖼️ 100 Images ⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for Mistral AI's Mistral OCR 3 model with 100 Images, 30% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 0% savings) 📊 Batch API
$0.001000 Total Cost
0 Total Tokens
0.00 seconds Processing Time
0 Effective Tokens/Sec

Click Recalculate to update after making changes

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Mistral OCR 3
Mistral AIMax Context: 65,536 tokens
$2.00/1k pages (first 5k) / $1.50/1k pages (after) per 1,000 pages
Use Batch API (50% discount)
30%
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.
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
$0.000000 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

0ms Processing Time
300 Tokens/Second
200ms Time to First Token
0 Effective Speed

Model Comparison

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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
Apply 1.5x multiplier to output tokens (GPT-5.4, Claude 4.6)
Manual thinking tokens (billed at output rate)

🔧 Special Modes
Enable 4x Tunnel Multiplier (applied after markup)
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

$0.001000
Total Cost
🖼️ 100 Image (High) ⚡ 30% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✗ Not Available requested
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.000000 Input: $0.000000
Output: $0.000000
Optimized Cost $0.001000 Input: $0.000000
Output: $0.000000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📄 OCR Processing
$0.002000 (rounded ~ 0.00)
1 pages (Tiered: 1 @ $2.00/1k, 0 @ $1.50/1k)
📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 25,000 input tokens and 5,000 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Total Cost: $0.001000
  • Cost per 1K tokens: $0.000000
  • Tokens per dollar: 0 tokens
  • Context Window: 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: 0.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 0 tokens/second (temperature-adjusted)

Best Use Cases

High-fidelity extraction of text from weathered manuscripts.

✨ Market Recommendations AI Model Registry

← Back to Mistral OCR 3
📋 Active Input Parameters
Input Tokens: 25,000
Output Tokens: 5,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Images: 100 (High Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Mistral OCR 3
🏆 Mistral Small 3
Mistral AI
$0.002244 (rounded ~ 0.00) Best Value ↑ 124.4% more
🥈 Gemini 3.1 Flash Lite
Google
$0.004738 (rounded ~ 0.00) ↑ 373.8% more
🥉 o4-mini Deep Research
OpenAI
$0.023688 (rounded ~ 0.02) ↑ 2268.8% more
#4 o4-mini
OpenAI
$0.026057 (rounded ~ 0.03) ↑ 2505.7% more
#5 Mistral Large 3
Mistral AI
$0.045876 (rounded ~ 0.05) ↑ 4487.6% more
#6 GPT-5.3 Codex Spark
OpenAI
$0.050204 ↑ 4920.4% more
#7 Grok 5
xAI
$0.074814 (rounded ~ 0.07) ↑ 7381.4% more
#8 Gemini 3.1 Pro
Google
$0.104752 (rounded ~ 0.10) ↑ 10375.2% more
#9 GPT-5.4 Thinking
OpenAI
$0.130940 ↑ 12994% more
#10 Claude Sonnet 4.6
Anthropic
$0.147324 (rounded ~ 0.15) ↑ 14632.4% more
#11 o3 Deep Research
OpenAI
$0.236880 (rounded ~ 0.24) ↑ 23588% more
#12 Claude Opus 4.6
Anthropic
$0.245540 (rounded ~ 0.25) ↑ 24454% more
#13 o3 Pro
OpenAI
$0.473760 (rounded ~ 0.47) ↑ 47276% more
#14 GPT-5.2 Pro
OpenAI
$0.602448 (rounded ~ 0.60) ↑ 60144.8% more
#15 GPT-5.2 Pro
OpenAI
$0.602448 (rounded ~ 0.60) ↑ 60144.8% more
🏆

Mistral Small 3
Mistral AI

$0.002244 (rounded ~ 0.00)
vs Mistral OCR 3: ↑ 124.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.004738 (rounded ~ 0.00)
vs Mistral OCR 3: ↑ 373.8%
🥉

o4-mini Deep Research
OpenAI

$0.023688 (rounded ~ 0.02)
vs Mistral OCR 3: ↑ 2268.8%
#4

o4-mini
OpenAI

$0.026057 (rounded ~ 0.03)
vs Mistral OCR 3: ↑ 2505.7%
#5

Mistral Large 3
Mistral AI

$0.045876 (rounded ~ 0.05)
vs Mistral OCR 3: ↑ 4487.6%
#6

GPT-5.3 Codex Spark
OpenAI

$0.050204
vs Mistral OCR 3: ↑ 4920.4%
#7

Grok 5
xAI

$0.074814 (rounded ~ 0.07)
vs Mistral OCR 3: ↑ 7381.4%
#8

Gemini 3.1 Pro
Google

$0.104752 (rounded ~ 0.10)
vs Mistral OCR 3: ↑ 10375.2%
#9

GPT-5.4 Thinking
OpenAI

$0.130940
vs Mistral OCR 3: ↑ 12994%
#10

Claude Sonnet 4.6
Anthropic

$0.147324 (rounded ~ 0.15)
vs Mistral OCR 3: ↑ 14632.4%
#11

o3 Deep Research
OpenAI

$0.236880 (rounded ~ 0.24)
vs Mistral OCR 3: ↑ 23588%
#12

Claude Opus 4.6
Anthropic

$0.245540 (rounded ~ 0.25)
vs Mistral OCR 3: ↑ 24454%
#13

o3 Pro
OpenAI

$0.473760 (rounded ~ 0.47)
vs Mistral OCR 3: ↑ 47276%
#14

GPT-5.2 Pro
OpenAI

$0.602448 (rounded ~ 0.60)
vs Mistral OCR 3: ↑ 60144.8%
#15

GPT-5.2 Pro
OpenAI

$0.602448 (rounded ~ 0.60)
vs Mistral OCR 3: ↑ 60144.8%
✨ 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.

High-fidelity extraction of text from weathered manuscripts.

Estimate the operational costs for 2026 enterprise AI deployments using latest tokenomics.

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.