⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium)
⚡ 50% Cached
📊 Batch API
🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
📄
OCR Support
✗ Not Available
⚡
Caching
✓ Available
90% savings
💰
Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$1.906125 (rounded ~ $1.91)
Input: $1.905000 (rounded ~ $1.91)
Output: $0.001125
Optimized Cost
$1.048875 (rounded ~ $1.05)
Input: $1.905000 (rounded ~ $1.91)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.857250 (rounded ~ $0.86)
45.0% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
Multimodal Input Details
🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 5,000,000 input tokens and 1,000 output tokens:
- Input Cost: $1.905000 (rounded ~ $1.91)
- Output Cost: $0.001125
- Total Cost: $1.048875 (rounded ~ $1.05)
- Cost per 1K tokens: $0.000103
- Tokens per dollar: 9,687,522 tokens
- Context Window: 400000 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 180ms time to first token:
- Processing Time: 5 hours, 45 minutes, 28.62 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 490 tokens/second (temperature-adjusted)
Best Use Cases
High-volumecost-optimized invoice parsing for standardized and semi-structured documents.
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.4 mini. 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 →
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 10000 Image (Medium)
⚡ 50% Cached
📊 Batch API
🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
📄
OCR Support
✗ Not Available
⚡
Caching
✓ Available
90% savings
💰
Total Cost Calculation (from Plugin)
Base Cost (No Optimizations)
$3.812250 (rounded ~ $3.81)
Input: $3.810000
Output: $0.002250
Optimized Cost
$2.097750 (rounded ~ $2.10)
Input: $3.810000
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings
$1.714500 (rounded ~ $1.71)
45.0% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
5,160,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
Multimodal Input Details
🖼️ Images
Count: 10000
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 5,000,000 input tokens and 1,000 output tokens:
- Input Cost: $3.810000
- Output Cost: $0.002250
- Total Cost: $2.097750 (rounded ~ $2.10)
- Cost per 1K tokens: $0.000206
- Tokens per dollar: 4,843,761 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 850 tokens per second and 90ms time to first token:
- Processing Time: 3 hours, 23 minutes, 13.38 seconds
- Latency: 90 milliseconds to first token
- Base Throughput: 850 tokens/second
- Effective Throughput: 833 tokens/second (temperature-adjusted)
Best Use Cases
High-volumecost-optimized invoice parsing for standardized and semi-structured documents.
Want this applied to YOUR actual stack?
This calculator shows the math for Gemini 3.5 Flash. 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 →
🔍
No Alternatives Found
No other models in the registry support all your current input parameters.
Try adjusting some parameters to see more options.
Remove Images
Remove Video
Remove Audio
Remove OCR
Remove Tools
✨ 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.
Efficiency in Document Extraction
Choosing between GPT-5.4 mini and Gemini 3.5 Flash for invoice extraction boils down to your specific tolerance for latency and the nature of your document variance. Both models are built for high-throughput, cost-sensitive environments where processing 10,000 invoices efficiently is the primary operational goal.
GPT-5.4 mini is often the preferred choice for teams already deeply integrated into the OpenAI ecosystem, offering consistent performance and predictable behavior across standardized invoice templates. Its reasoning capabilities are tuned to handle basic structural extraction reliably without the higher costs of larger frontier models.
Conversely, Gemini 3.5 Flash shines in multi-modal scenarios where your invoices may come in various formats, including poor-quality scans or mobile-captured images. Its native multi-modal capabilities provide a robust fallback for handling visual artifacts that might otherwise require pre-processing. For recruiters or operations teams building automated workflows, Gemini 3.5 Flash can often reduce the need for upstream image enhancement, potentially lowering total pipeline complexity.
When selecting your model, audit your document variety. If your incoming invoices are highly standardized, the efficiency of GPT-5.4 mini is hard to beat. However, if your pipeline faces a high volume of diverse, noisy documents, Gemini 3.5 Flash provides the visual robustness needed to minimize human-in-the-loop verification steps.
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.
