Cheapest Model for 1,000 Marketing Images: Nano Banana Pro vs Mistral OCR 3

Nano Banana Pro vs Mistral OCR 3
Complete Comparison: 1,000 input tokens × 500 output tokens
Comparison Mode
🖼️ 1000 Images ⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 20% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Nano Banana Pro
Google
Mistral OCR 3
Mistral AI
Calculation Results (Current Inputs) (1000 images, 20% cached)
Input Tokens N/A (Special Pricing) N/A (Special Pricing)
Output Tokens N/A (Special Pricing) N/A (Special Pricing)
Cost Breakdown
Input Cost N/A (Special Pricing) N/A (Special Pricing)
Output Cost N/A (Special Pricing) N/A (Special Pricing)
Unit Cost (Audio/OCR) $67.000000 $0.100000
Service Fees $0.000000 $0.000000
Total Cost $67.000000 Most Expensive $0.100000 Best Value
Processing Time 1.43 seconds Fastest 5.18 seconds Slowest
Tokens per Second N/A (Special Pricing) N/A (Special Pricing)
Time to First Token 50ms Best 200ms Worst
Cost per 1K tokens N/A (Special Pricing) N/A (Special Pricing)
Tokens per Dollar N/A (Special Pricing) N/A (Special Pricing)
Cost per 1 Million Tokens (Informational)
Information not available - No token-based models in this comparison
Capabilities & Advanced Features
Images Support
1000
✓ Supported ✓ Supported
OCR Support ✗ Not Supported ✓ Supported
Caching Support
20
✗ Not Supported requested ✗ Not Supported requested
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✗ Not Supported
Scroll horizontally to see all data

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Select AI Model

Nano Banana Pro
GoogleMax Context: 4,096 tokens
$0.134 (std) / $0.24 (HD) / $0.48 (4K) per image
▼
▼
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

Calculate Token Costs

$67.000000 Total Cost
$0.000000 Input Cost
$0.000000 Output Cost
$67.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,500Total Tokens
$44.666667Cost per 1K
22Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1.43s Processing Time
1,200 Tokens/Second
50ms Time to First Token
1,200 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.

Nano Banana Pro Google

$67.000000
Total Cost
🖼️ 1000 Image (Medium) ⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $134.000000 Input: $0.000000
Output: $0.000000
Optimized Cost $67.000000 Input: $0.000000
Output: $0.000000
Unit: $67.000000
Fees: $0.000000
Total Savings $67.000000 50.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000 input tokens and 500 output tokens:

  • Input Cost: $0.000000
  • Output Cost: $0.000000
  • Unit Cost: $67.000000
  • Total Cost: $67.000000
  • Cost per 1K tokens: $44.666667 (rounded ~ $44.67)
  • Tokens per dollar: 22 tokens
  • Context Window: 4096 tokens
  • Thinking Source: (0 tokens)

Speed & Performance Analysis

With a processing speed of 1,200 tokens per second and 50ms time to first token:

  • Processing Time: 1.43 seconds
  • Latency: 50 milliseconds to first token
  • Base Throughput: 1,200 tokens/second

Best Use Cases

Ideal for marketing teams balancing creative visual generation with automated document-integrated design workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Nano Banana Pro. 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 →

Mistral OCR 3 Mistral AI

$0.100000
Total Cost
🖼️ 1000 Image (Medium) ⚡ 20% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available requested
📄
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 1,000 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: $0.066667 (rounded ~ $0.07)
  • Tokens per dollar: 15,000 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: 5.18 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 300 tokens/second

Best Use Cases

Ideal for marketing teams balancing creative visual generation with automated document-integrated design workflows.

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 →

✨ Market Recommendations AI Model Registry

← Back to Nano Banana Pro
📋 Active Input Parameters
Input Tokens: 1,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Images: 1000 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Nano Banana Pro vs Mistral OCR 3
🏆 Mistral Small 3
Mistral AI
 $0.010636 Best Value ↓ 100% cheaper ↓ 89.4% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.026684 (rounded ~ $0.03) ↓ 100% cheaper ↓ 73.3% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.032108 (rounded ~ $0.03) ↓ 100% cheaper ↓ 67.9% cheaper
#4 Mistral Large 3
Mistral AI
 $0.053430 (rounded ~ $0.05) ↓ 99.9% cheaper ↓ 46.6% cheaper
#5 GPT-5.4 mini
OpenAI
 $0.080051 ↓ 99.9% cheaper ↓ 19.9% cheaper
#6 o4-mini Deep Research
OpenAI
 $0.106485 (rounded ~ $0.11) ↓ 99.8% cheaper ↑ 6.5% more
#7 Claude Haiku 4.5
Anthropic
 $0.106610 (rounded ~ $0.11) ↓ 99.8% cheaper ↑ 6.6% more
#8 o4-mini
OpenAI
 $0.117134 (rounded ~ $0.12) ↓ 99.8% cheaper ↑ 17.1% more
#9 Grok 4.3
xAI
 $0.132794 (rounded ~ $0.13) ↓ 99.8% cheaper ↑ 32.8% more
#10 Gemini 3.5 Flash
Google
 $0.160103 ↓ 99.8% cheaper ↑ 60.1% more
#11 GPT-5.3 Codex Spark
OpenAI
 $0.187224 (rounded ~ $0.19) ↓ 99.7% cheaper ↑ 87.2% more
#12 GPT-5.3 Instant
OpenAI
 $0.187224 (rounded ~ $0.19) ↓ 99.7% cheaper ↑ 87.2% more
#13 Gemini 3.1 Flash
Google
 $0.213470 (rounded ~ $0.21) ↓ 99.7% cheaper ↑ 113.5% more
#14 Claude Sonnet 4.6
Anthropic
 $0.319830 ↓ 99.5% cheaper ↑ 219.8% more
#15 Claude Opus 4.7
Anthropic
 $0.533050 (rounded ~ $0.53) ↓ 99.2% cheaper ↑ 433.1% more
#16 Claude Opus 4.8
Anthropic
 $0.533050 (rounded ~ $0.53) ↓ 99.2% cheaper ↑ 433.1% more
#17 Claude Opus 4.6
Anthropic
 $0.533050 (rounded ~ $0.53) ↓ 99.2% cheaper ↑ 433.1% more
#18 Gemini 2.5 Pro
Google
 $0.533675 (rounded ~ $0.53) ↓ 99.2% cheaper ↑ 433.7% more
#19 GPT-5.5 Instant
OpenAI
 $0.533675 (rounded ~ $0.53) ↓ 99.2% cheaper ↑ 433.7% more
#20 Gemini 3.1 Pro
Google
 $0.852380 (rounded ~ $0.85) ↓ 98.7% cheaper ↑ 752.4% more
#21 o3 Deep Research
OpenAI
 $1.064850 (rounded ~ $1.06) ↓ 98.4% cheaper ↑ 964.9% more
#22 GPT-5.4
OpenAI
 $1.065475 (rounded ~ $1.07) ↓ 98.4% cheaper ↑ 965.5% more
#23 GPT-5.4 Thinking
OpenAI
 $1.065475 (rounded ~ $1.07) ↓ 98.4% cheaper ↑ 965.5% more
#24 o3 Pro
OpenAI
 $2.129700 ↓ 96.8% cheaper ↑ 2029.7% more
#25 GPT-5.5
OpenAI
 $2.130950 ↓ 96.8% cheaper ↑ 2031% more
#26 GPT-5.2 Pro
OpenAI
 $2.246685 (rounded ~ $2.25) ↓ 96.6% cheaper ↑ 2146.7% more
#27 GPT-5.2 Pro
OpenAI
 $2.246685 (rounded ~ $2.25) ↓ 96.6% cheaper ↑ 2146.7% more
🏆

Mistral Small 3
Mistral AI

$0.010636
vs Nano Banana Pro: ↓ 100%
vs Mistral OCR 3: ↓ 89.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.026684 (rounded ~ $0.03)
vs Nano Banana Pro: ↓ 100%
vs Mistral OCR 3: ↓ 73.3%
🥉

Gemini 2.5 Flash
Google

$0.032108 (rounded ~ $0.03)
vs Nano Banana Pro: ↓ 100%
vs Mistral OCR 3: ↓ 67.9%
#4

Mistral Large 3
Mistral AI

$0.053430 (rounded ~ $0.05)
vs Nano Banana Pro: ↓ 99.9%
vs Mistral OCR 3: ↓ 46.6%
#5

GPT-5.4 mini
OpenAI

$0.080051
vs Nano Banana Pro: ↓ 99.9%
vs Mistral OCR 3: ↓ 19.9%
#6

o4-mini Deep Research
OpenAI

$0.106485 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 99.8%
vs Mistral OCR 3: ↑ 6.5%
#7

Claude Haiku 4.5
Anthropic

$0.106610 (rounded ~ $0.11)
vs Nano Banana Pro: ↓ 99.8%
vs Mistral OCR 3: ↑ 6.6%
#8

o4-mini
OpenAI

$0.117134 (rounded ~ $0.12)
vs Nano Banana Pro: ↓ 99.8%
vs Mistral OCR 3: ↑ 17.1%
#9

Grok 4.3
xAI

$0.132794 (rounded ~ $0.13)
vs Nano Banana Pro: ↓ 99.8%
vs Mistral OCR 3: ↑ 32.8%
#10

Gemini 3.5 Flash
Google

$0.160103
vs Nano Banana Pro: ↓ 99.8%
vs Mistral OCR 3: ↑ 60.1%
#11

GPT-5.3 Codex Spark
OpenAI

$0.187224 (rounded ~ $0.19)
vs Nano Banana Pro: ↓ 99.7%
vs Mistral OCR 3: ↑ 87.2%
#12

GPT-5.3 Instant
OpenAI

$0.187224 (rounded ~ $0.19)
vs Nano Banana Pro: ↓ 99.7%
vs Mistral OCR 3: ↑ 87.2%
#13

Gemini 3.1 Flash
Google

$0.213470 (rounded ~ $0.21)
vs Nano Banana Pro: ↓ 99.7%
vs Mistral OCR 3: ↑ 113.5%
#14

Claude Sonnet 4.6
Anthropic

$0.319830
vs Nano Banana Pro: ↓ 99.5%
vs Mistral OCR 3: ↑ 219.8%
#15

Claude Opus 4.7
Anthropic

$0.533050 (rounded ~ $0.53)
vs Nano Banana Pro: ↓ 99.2%
vs Mistral OCR 3: ↑ 433.1%
#16

Claude Opus 4.8
Anthropic

$0.533050 (rounded ~ $0.53)
vs Nano Banana Pro: ↓ 99.2%
vs Mistral OCR 3: ↑ 433.1%
#17

Claude Opus 4.6
Anthropic

$0.533050 (rounded ~ $0.53)
vs Nano Banana Pro: ↓ 99.2%
vs Mistral OCR 3: ↑ 433.1%
#18

Gemini 2.5 Pro
Google

$0.533675 (rounded ~ $0.53)
vs Nano Banana Pro: ↓ 99.2%
vs Mistral OCR 3: ↑ 433.7%
#19

GPT-5.5 Instant
OpenAI

$0.533675 (rounded ~ $0.53)
vs Nano Banana Pro: ↓ 99.2%
vs Mistral OCR 3: ↑ 433.7%
#20

Gemini 3.1 Pro
Google

$0.852380 (rounded ~ $0.85)
vs Nano Banana Pro: ↓ 98.7%
vs Mistral OCR 3: ↑ 752.4%
#21

o3 Deep Research
OpenAI

$1.064850 (rounded ~ $1.06)
vs Nano Banana Pro: ↓ 98.4%
vs Mistral OCR 3: ↑ 964.9%
#22

GPT-5.4
OpenAI

$1.065475 (rounded ~ $1.07)
vs Nano Banana Pro: ↓ 98.4%
vs Mistral OCR 3: ↑ 965.5%
#23

GPT-5.4 Thinking
OpenAI

$1.065475 (rounded ~ $1.07)
vs Nano Banana Pro: ↓ 98.4%
vs Mistral OCR 3: ↑ 965.5%
#24

o3 Pro
OpenAI

$2.129700
vs Nano Banana Pro: ↓ 96.8%
vs Mistral OCR 3: ↑ 2029.7%
#25

GPT-5.5
OpenAI

$2.130950
vs Nano Banana Pro: ↓ 96.8%
vs Mistral OCR 3: ↑ 2031%
#26

GPT-5.2 Pro
OpenAI

$2.246685 (rounded ~ $2.25)
vs Nano Banana Pro: ↓ 96.6%
vs Mistral OCR 3: ↑ 2146.7%
#27

GPT-5.2 Pro
OpenAI

$2.246685 (rounded ~ $2.25)
vs Nano Banana Pro: ↓ 96.6%
vs Mistral OCR 3: ↑ 2146.7%
✨ 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 Your Visual Pipeline

For marketing teams scaling their visual content, the choice between Nano Banana Pro and Mistral OCR 3 often comes down to specific workflow requirements rather than raw output capability. As e-commerce and social media teams ramp up to 1,000 images per month, the need for consistent brand identity and high-fidelity product representations becomes the primary operational bottleneck. Both models support image generation, but they serve distinct roles in a modern marketing stack.

Model Strengths and Trade-offs

Nano Banana Pro is increasingly favored for creative marketing campaigns where style and aesthetic flexibility are paramount. Its architecture is tuned to handle the nuances of creative prompts, making it a strong choice for social media ads, lifestyle content, and hero imagery where artistic flair drives engagement. In contrast, Mistral OCR 3, while highly capable of image generation, often excels when your workflow requires tight integration between text-heavy document processing and visual assets. If your campaign involves creating visuals that must also contain accurate text, labels, or UI elements, the OCR-integrated capabilities of this model provide a significant advantage in reducing the need for manual post-editing.

Ultimately, the decision depends on whether your priority is creative versatility or functional integration. Evaluate how each model handles your brand’s specific style guide and technical requirements. For high-volume campaigns, testing both on a small batch of your recurring product shots will reveal which model aligns better with your design system and production speed needs.

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.