Mistral OCR 3 vs Gemini 3.1 Flash Lite for 100,000 Pages Monthly

Mistral OCR 3 vs Gemini 3.1 Flash Lite
Complete Comparison: 100,000 input tokens × 500 output tokens
Comparison Mode
🖼️ 100000 Images ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 100000 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Mistral OCR 3
Mistral AI
Gemini 3.1 Flash Lite
Google
Calculation Results (Current Inputs) (100000 images, 20% cached)
Input Tokens N/A (Special Pricing) 100,000
Output Tokens N/A (Special Pricing) 500
Cost Breakdown
Input Cost N/A (Special Pricing) $3.231250 (rounded ~ $3.23)
Output Cost N/A (Special Pricing) $0.000188
Unit Cost (Audio/OCR) $0.100000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.100000 Best Value $2.649813 Most Expensive
Processing Time 5 minutes, 35.18 seconds Fastest 14 hours, 38 minutes, 54.69 seconds Slowest
Tokens per Second N/A (Special Pricing) 1,000
Time to First Token 200ms Worst 80ms Best
Cost per 1K tokens N/A (Special Pricing) $0.000051
Tokens per Dollar N/A (Special Pricing) 19,511,003
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) N/A (Special Pricing) $0.062500 (rounded ~ $0.06)
Output Cost / 1M (Base) N/A (Special Pricing) $0.375000 (rounded ~ $0.38)
Input Cost / 1M (Optimized) N/A (Special Pricing) $0.031250 (rounded ~ $0.03)
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) N/A (Special Pricing) $0.187500 (rounded ~ $0.19)
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
100000
✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
OCR Support ✓ Supported ✓ Supported
Caching Support
20
✗ 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)
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

$0.001000 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
100,500Total Tokens
$0.000010Cost per 1K
100,500,000Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

5m 35s 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) ⚡ 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 100,000 input tokens and 500 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $0.100000
  • Total Cost: $0.100000
  • Cost per 1K tokens: $0.000995
  • Tokens per dollar: 1,005,000 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: 5 minutes, 35.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Choose Mistral OCR 3 for high-fidelity table and handwriting extraction; choose Gemini 3.1 Flash Lite for broad document analysis and integration-heavy pipelines.

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 →

Gemini 3.1 Flash Lite Google 1000000

$2.649813
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 100000 Image (Medium) ⚡ 20% 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) $3.231438 (rounded ~ $3.23) Input: $3.231250 (rounded ~ $3.23)
Output: $0.000188
Optimized Cost $2.649813 Input: $3.231250 (rounded ~ $3.23)
Output: $0.000188
Unit: $0.000000
Fees: $0.000000
Total Savings $0.581625 (rounded ~ $0.58) 18.0% 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 100,000 input tokens and 500 output tokens:

  • Input Cost: $3.231250 (rounded ~ $3.23)
  • Output Cost: $0.000188
  • Total Cost: $2.649813
  • Cost per 1K tokens: $0.000051
  • Tokens per dollar: 19,511,003 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 80ms time to first token:

  • Processing Time: 14 hours, 38 minutes, 54.69 seconds
  • Latency: 80 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 980 tokens/second (temperature-adjusted)

Best Use Cases

Choose Mistral OCR 3 for high-fidelity table and handwriting extraction; choose Gemini 3.1 Flash Lite for broad document analysis and integration-heavy pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 Flash Lite. 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: 100,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 100000 (Medium Resolution)
Rank AI Model & Provider Total Cost vs Mistral OCR 3 vs Gemini 3.1 Flash Lite
🏆 Mistral Small 3
Mistral AI
 $1.059888 Best Value ↑ 959.9% more ↓ 60% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $2.649813 ↑ 2549.8% more Same price
🥉 Gemini 2.5 Flash
Google
 $3.179863 ↑ 3079.9% more ↑ 20% more
#4 Mistral Large 3
Mistral AI
 $5.299688 ↑ 5199.7% more ↑ 100% more
#5 GPT-5.4 mini
OpenAI
 $7.949438 ↑ 7849.4% more ↑ 200% more
#6 o4-mini Deep Research
OpenAI
 $10.599000 ↑ 10499% more ↑ 300% more
#7 Claude Haiku 4.5
Anthropic
 $10.599125 ↑ 10499.1% more ↑ 300% more
#8 o4-mini
OpenAI
 $11.658900 (rounded ~ $11.66) ↑ 11558.9% more ↑ 340% more
#9 Grok 4.3
xAI
 $13.248438 (rounded ~ $13.25) ↑ 13148.4% more ↑ 400% more
#10 Gemini 3.5 Flash
Google
 $15.898875 (rounded ~ $15.90) ↑ 15798.9% more ↑ 500% more
#11 GPT-5.3 Codex Spark
OpenAI
 $18.549125 ↑ 18449.1% more ↑ 600% more
#12 GPT-5.3 Instant
OpenAI
 $18.549125 ↑ 18449.1% more ↑ 600% more
#13 Gemini 3.1 Flash
Google
 $21.198500 (rounded ~ $21.20) ↑ 21098.5% more ↑ 700% more
#14 Claude Sonnet 4.6
Anthropic
 $31.797375 (rounded ~ $31.80) ↑ 31697.4% more ↑ 1100% more
#15 Claude Opus 4.7
Anthropic
 $52.995625 (rounded ~ $53.00) ↑ 52895.6% more ↑ 1900% more
#16 Claude Opus 4.8
Anthropic
 $52.995625 (rounded ~ $53.00) ↑ 52895.6% more ↑ 1900% more
#17 Claude Opus 4.6
Anthropic
 $52.995625 (rounded ~ $53.00) ↑ 52895.6% more ↑ 1900% more
#18 Gemini 2.5 Pro
Google
 $52.996250 (rounded ~ $53.00) ↑ 52896.3% more ↑ 1900% more
#19 GPT-5.5 Instant
OpenAI
 $52.996250 (rounded ~ $53.00) ↑ 52896.3% more ↑ 1900% more
#20 Gemini 3.1 Pro
Google
 $84.792500 (rounded ~ $84.79) ↑ 84692.5% more ↑ 3099.9% more
#21 o3 Deep Research
OpenAI
 $105.990000 ↑ 105890% more ↑ 3899.9% more
#22 GPT-5.4
OpenAI
 $105.990625 ↑ 105890.6% more ↑ 3899.9% more
#23 GPT-5.4 Thinking
OpenAI
 $105.990625 ↑ 105890.6% more ↑ 3899.9% more
#24 o3 Pro
OpenAI
 $211.980000 ↑ 211880% more ↑ 7899.8% more
#25 GPT-5.5
OpenAI
 $211.981250 (rounded ~ $211.98) ↑ 211881.3% more ↑ 7899.9% more
#26 GPT-5.2 Pro
OpenAI
 $222.589500 ↑ 222489.5% more ↑ 8300.2% more
#27 GPT-5.2 Pro
OpenAI
 $222.589500 ↑ 222489.5% more ↑ 8300.2% more
🏆

Mistral Small 3
Mistral AI

$1.059888
vs Mistral OCR 3: ↑ 959.9%
vs Gemini 3.1 Flash Lite: ↓ 60%
🥈

Gemini 3.1 Flash Lite
Google

$2.649813
vs Mistral OCR 3: ↑ 2549.8%
vs Gemini 3.1 Flash Lite: Same
🥉

Gemini 2.5 Flash
Google

$3.179863
vs Mistral OCR 3: ↑ 3079.9%
vs Gemini 3.1 Flash Lite: ↑ 20%
#4

Mistral Large 3
Mistral AI

$5.299688
vs Mistral OCR 3: ↑ 5199.7%
vs Gemini 3.1 Flash Lite: ↑ 100%
#5

GPT-5.4 mini
OpenAI

$7.949438
vs Mistral OCR 3: ↑ 7849.4%
vs Gemini 3.1 Flash Lite: ↑ 200%
#6

o4-mini Deep Research
OpenAI

$10.599000
vs Mistral OCR 3: ↑ 10499%
vs Gemini 3.1 Flash Lite: ↑ 300%
#7

Claude Haiku 4.5
Anthropic

$10.599125
vs Mistral OCR 3: ↑ 10499.1%
vs Gemini 3.1 Flash Lite: ↑ 300%
#8

o4-mini
OpenAI

$11.658900 (rounded ~ $11.66)
vs Mistral OCR 3: ↑ 11558.9%
vs Gemini 3.1 Flash Lite: ↑ 340%
#9

Grok 4.3
xAI

$13.248438 (rounded ~ $13.25)
vs Mistral OCR 3: ↑ 13148.4%
vs Gemini 3.1 Flash Lite: ↑ 400%
#10

Gemini 3.5 Flash
Google

$15.898875 (rounded ~ $15.90)
vs Mistral OCR 3: ↑ 15798.9%
vs Gemini 3.1 Flash Lite: ↑ 500%
#11

GPT-5.3 Codex Spark
OpenAI

$18.549125
vs Mistral OCR 3: ↑ 18449.1%
vs Gemini 3.1 Flash Lite: ↑ 600%
#12

GPT-5.3 Instant
OpenAI

$18.549125
vs Mistral OCR 3: ↑ 18449.1%
vs Gemini 3.1 Flash Lite: ↑ 600%
#13

Gemini 3.1 Flash
Google

$21.198500 (rounded ~ $21.20)
vs Mistral OCR 3: ↑ 21098.5%
vs Gemini 3.1 Flash Lite: ↑ 700%
#14

Claude Sonnet 4.6
Anthropic

$31.797375 (rounded ~ $31.80)
vs Mistral OCR 3: ↑ 31697.4%
vs Gemini 3.1 Flash Lite: ↑ 1100%
#15

Claude Opus 4.7
Anthropic

$52.995625 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52895.6%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#16

Claude Opus 4.8
Anthropic

$52.995625 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52895.6%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#17

Claude Opus 4.6
Anthropic

$52.995625 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52895.6%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#18

Gemini 2.5 Pro
Google

$52.996250 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52896.3%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#19

GPT-5.5 Instant
OpenAI

$52.996250 (rounded ~ $53.00)
vs Mistral OCR 3: ↑ 52896.3%
vs Gemini 3.1 Flash Lite: ↑ 1900%
#20

Gemini 3.1 Pro
Google

$84.792500 (rounded ~ $84.79)
vs Mistral OCR 3: ↑ 84692.5%
vs Gemini 3.1 Flash Lite: ↑ 3099.9%
#21

o3 Deep Research
OpenAI

$105.990000
vs Mistral OCR 3: ↑ 105890%
vs Gemini 3.1 Flash Lite: ↑ 3899.9%
#22

GPT-5.4
OpenAI

$105.990625
vs Mistral OCR 3: ↑ 105890.6%
vs Gemini 3.1 Flash Lite: ↑ 3899.9%
#23

GPT-5.4 Thinking
OpenAI

$105.990625
vs Mistral OCR 3: ↑ 105890.6%
vs Gemini 3.1 Flash Lite: ↑ 3899.9%
#24

o3 Pro
OpenAI

$211.980000
vs Mistral OCR 3: ↑ 211880%
vs Gemini 3.1 Flash Lite: ↑ 7899.8%
#25

GPT-5.5
OpenAI

$211.981250 (rounded ~ $211.98)
vs Mistral OCR 3: ↑ 211881.3%
vs Gemini 3.1 Flash Lite: ↑ 7899.9%
#26

GPT-5.2 Pro
OpenAI

$222.589500
vs Mistral OCR 3: ↑ 222489.5%
vs Gemini 3.1 Flash Lite: ↑ 8300.2%
#27

GPT-5.2 Pro
OpenAI

$222.589500
vs Mistral OCR 3: ↑ 222489.5%
vs Gemini 3.1 Flash Lite: ↑ 8300.2%
✨ 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 digitizing legacy archives at a scale of 100,000 pages per month, selecting the right OCR engine is a decision between specialized focus and multimodal versatility. Mistral OCR 3 has emerged as a high-fidelity, structure-aware model specifically optimized for converting document layouts—including complex tables and handwritten annotations—directly into structured Markdown and HTML. Its architectural efficiency makes it particularly strong for archival scenarios where document quality is inconsistent and structure preservation is paramount for downstream retrieval-augmented generation (RAG) pipelines.

Conversely, Gemini 3.1 Flash Lite represents a highly efficient, multimodal-native approach. While Mistral OCR 3 focuses heavily on the parsing of document semantics, Gemini 3.1 Flash Lite leverages a broader multimodal training set, which can be advantageous if your archival pipeline also requires classifying non-textual elements or understanding document-based images alongside the text. Gemini’s strength lies in its speed and its integration into wider agentic workflows, where extracted data needs to trigger immediate business logic or cross-document analysis.

For high-volume archival tasks, choose Mistral OCR 3 if your primary bottleneck is structural fidelity—such as reconstructing multi-row tables or parsing messy handwriting—where accuracy directly reduces the need for human-in-the-loop review. Opt for Gemini 3.1 Flash Lite if your workflow is more heterogeneous, requiring a model that seamlessly shifts between reading text, analyzing document images, and integrating with other Google-ecosystem AI tools. Both models offer significant scaling benefits, but your choice should hinge on whether your documents require structural parsing or broad visual reasoning.

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.