🖼️ 1000 Image (Medium)
⚡ 20% Cached
📊 Batch API
🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
📄
OCR Support
✗ Not 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 2,000,000 input tokens and 1,000 output tokens:
- Input Cost: $0.000000
- Output Cost: $0.000000
- Unit Cost: $67.000000
- Total Cost: $67.000000
- Cost per 1K tokens: $0.033483 (rounded ~ $0.03)
- Tokens per dollar: 29,866 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: 27 minutes, 47.68 seconds
- Latency: 50 milliseconds to first token
- Base Throughput: 1,200 tokens/second
Best Use Cases
Use Nano Banana Pro for high-fidelity visual generation and brand consistency; use GPT-5.4 Mini for high-volumelogic-heavy scene descriptions and rapid iteration.
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.
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⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium)
⚡ 20% 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)
$0.472875 (rounded ~ $0.47)
Input: $0.471750 (rounded ~ $0.47)
Output: $0.001125
Optimized Cost
$0.387960 (rounded ~ $0.39)
Input: $0.471750 (rounded ~ $0.47)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.084915 (rounded ~ $0.08)
18.0% discount
Advanced Cost Breakdown (from Plugin)
🖼️ Multimodal Input
$0.000000
516,000 tokens
📊 Batch API
50.0% off
Asynchronous processing discount
Multimodal Input Details
🖼️ Images
Count: 1000
Resolution: Medium
Tokens: 516,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 2,000,000 input tokens and 1,000 output tokens:
- Input Cost: $0.471750 (rounded ~ $0.47)
- Output Cost: $0.001125
- Total Cost: $0.387960 (rounded ~ $0.39)
- Cost per 1K tokens: $0.000154
- Tokens per dollar: 6,487,782 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: 1 hour, 29 minutes, 46.56 seconds
- Latency: 180 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
Use Nano Banana Pro for high-fidelity visual generation and brand consistency; use GPT-5.4 Mini for high-volumelogic-heavy scene descriptions and rapid iteration.
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 →
🔍
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.
For freelance copywriters and creative directors, storyboarding is the bridge between a script and production. Choosing the right AI model for this stage depends on whether you prioritize image fidelity and brand consistency or rapid iteration and logic-driven scene descriptions. Nano Banana Pro stands out for professional image generation, offering advanced control over visual aesthetics, 4K rendering, and text accuracy, which is vital when your storyboard needs to look like a high-end pitch deck. Its ability to maintain character consistency across multiple frames makes it a strong contender for visual-heavy projects where you need to see the scene before committing to a camera setup.
GPT-5.4 Mini, by contrast, is engineered for speed and agentic workflows. While it handles vision inputs with high accuracy, its strength lies in the synergy between scene description and logic. If your storyboarding process involves generating complex technical instructions, dialogue cues, or scene-by-scene timing breakdowns, the model excels at structuring these narratives efficiently. It is the better choice for high-volume pipelines where you need to churn through dozens of drafts per hour without sacrificing coherence. While Nano Banana Pro is the specialized tool for the visual artist, GPT-5.4 Mini is the indispensable partner for the copywriter who needs to keep the creative momentum moving at scale. For the best workflow, many professionals use a combination: GPT-5.4 Mini to flesh out the scene dynamics and Nano Banana Pro to render the final frame assets.
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.
