Claude Sonnet 5 vs GPT-5-5 Pro for 1,000 Storyboard Frames Monthly

Claude Sonnet 5 vs GPT-5.5 Pro
Complete Comparison: 1,000,000 input tokens × 2,000 output tokens
Comparison Mode
🖼️ 1000 Images ⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 1000 Images, 50% Cached.

🖼️ Multimodal Input ⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 5
Anthropic
GPT-5.5 Pro
OpenAI
Calculation Results (Current Inputs) (1000 images, 50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.758000 (rounded ~ $0.76)Best $11.370000Worst
Output Cost $0.005000 (rounded ~ $0.01)Best $0.090000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.421900 (rounded ~ $0.42) Best Value $11.460000 Most Expensive
Processing Time 58 minutes, 51.18 seconds Fastest 1 hour, 19 minutes, 37.42 seconds Slowest
Tokens per Second 460Fastest 340Slowest
Time to First Token 195ms Best 260ms Worst
Cost per 1K tokens $0.000278Best $0.007549 (rounded ~ $0.01)Worst
Tokens per Dollar 3,598,009Best Value 132,461Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Best $7.500000Worst
Output Cost / 1M (Base) $2.500000Best $45.000000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$22.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support
1000
✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✗ Not Supported requested
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Sonnet 5
AnthropicMax Context: 1,000,000 tokens
$2 / $10 per 1M tokens
Use Batch API (50% discount)
50%
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

$0.379000 Input Cost
$0.005000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,518,000Total Tokens
$0.000278Cost per 1K
3,598,009Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

58m 51s Processing Time
460 Tokens/Second
195ms Time to First Token
430 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.

Claude Sonnet 5 Anthropic 1000000

$0.421900 (rounded ~ $0.42)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 50% 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
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.763000 (rounded ~ $0.76) Input: $0.758000 (rounded ~ $0.76)
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.421900 (rounded ~ $0.42) Input: $0.758000 (rounded ~ $0.76)
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.341100 (rounded ~ $0.34) 44.7% 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 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.758000 (rounded ~ $0.76)
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.421900 (rounded ~ $0.42)
  • Cost per 1K tokens: $0.000278
  • Tokens per dollar: 3,598,009 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 460 tokens per second and 195ms time to first token:

  • Processing Time: 58 minutes, 51.18 seconds
  • Latency: 195 milliseconds to first token
  • Base Throughput: 460 tokens/second
  • Effective Throughput: 430 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5 for creative narrative and style consistency; use GPT-5-5 Pro for high-volume automated prompt engineering and tool-integrated video production pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 5. 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 →

GPT-5.5 Pro OpenAI 1000000

$11.460000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🖼️ 1000 Image (Medium) ⚡ 50% 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) $11.460000 Input: $11.370000
Output: $0.090000
Optimized Cost $11.460000 Input: $11.370000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000

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 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $11.370000
  • Output Cost: $0.090000
  • Total Cost: $11.460000
  • Cost per 1K tokens: $0.007549 (rounded ~ $0.01)
  • Tokens per dollar: 132,461 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

  • Processing Time: 1 hour, 19 minutes, 37.42 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5 for creative narrative and style consistency; use GPT-5-5 Pro for high-volume automated prompt engineering and tool-integrated video production pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5 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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 5
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Images: 1000 (Medium Resolution)
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5 vs GPT-5.5 Pro
🏆 Gemini 3.5 Flash-Lite
Google
$0.063785 (rounded ~ $0.06) Best Value ↓ 84.9% cheaper ↓ 99.4% cheaper
🥈 Gemini 3.8 Flash
Google
$0.158213 (rounded ~ $0.16) ↓ 62.5% cheaper ↓ 98.6% cheaper
🥉 Gemini 3.6 Flash
Google
$0.316425 (rounded ~ $0.32) ↓ 25% cheaper ↓ 97.2% cheaper
#4 Gemini 2.5 Pro
Google
$1.057250 (rounded ~ $1.06) ↑ 150.6% more ↓ 90.8% cheaper
#5 GPT-5.4
OpenAI
$2.107000 (rounded ~ $2.11) ↑ 399.4% more ↓ 81.6% cheaper
#6 GPT-5.4 Thinking
OpenAI
$2.107000 (rounded ~ $2.11) ↑ 399.4% more ↓ 81.6% cheaper
#7 GPT-6 Astra
OpenAI
$8.438000 (rounded ~ $8.44) ↑ 1900% more ↓ 26.4% cheaper
#8 GPT-6 Astra
OpenAI
$8.438000 (rounded ~ $8.44) ↑ 1900% more ↓ 26.4% cheaper
🏆

Gemini 3.5 Flash-Lite
Google

$0.063785 (rounded ~ $0.06)
vs Claude Sonnet 5: ↓ 84.9%
vs GPT-5.5 Pro: ↓ 99.4%
🥈

Gemini 3.8 Flash
Google

$0.158213 (rounded ~ $0.16)
vs Claude Sonnet 5: ↓ 62.5%
vs GPT-5.5 Pro: ↓ 98.6%
🥉

Gemini 3.6 Flash
Google

$0.316425 (rounded ~ $0.32)
vs Claude Sonnet 5: ↓ 25%
vs GPT-5.5 Pro: ↓ 97.2%
#4

Gemini 2.5 Pro
Google

$1.057250 (rounded ~ $1.06)
vs Claude Sonnet 5: ↑ 150.6%
vs GPT-5.5 Pro: ↓ 90.8%
#5

GPT-5.4
OpenAI

$2.107000 (rounded ~ $2.11)
vs Claude Sonnet 5: ↑ 399.4%
vs GPT-5.5 Pro: ↓ 81.6%
#6

GPT-5.4 Thinking
OpenAI

$2.107000 (rounded ~ $2.11)
vs Claude Sonnet 5: ↑ 399.4%
vs GPT-5.5 Pro: ↓ 81.6%
#7

GPT-6 Astra
OpenAI

$8.438000 (rounded ~ $8.44)
vs Claude Sonnet 5: ↑ 1900%
vs GPT-5.5 Pro: ↓ 26.4%
#8

GPT-6 Astra
OpenAI

$8.438000 (rounded ~ $8.44)
vs Claude Sonnet 5: ↑ 1900%
vs GPT-5.5 Pro: ↓ 26.4%
✨ 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.

Optimizing Video Storyboarding Workflows

For freelance copywriters tasked with video storyboarding, the transition from script to visual concept is where the most time is lost. Effectively managing 1,000 storyboard frames monthly requires not just raw processing power, but models that understand cinematic language, pacing, and visual continuity.

Claude Sonnet 5 stands out for its sophisticated handling of creative nuance. When developing scene descriptions that need to evoke specific moods or camera angles, its reasoning capabilities ensure that the output remains consistent throughout a narrative arc. It excels at interpreting complex, multi-layered story requirements without deviating from the established artistic tone, making it ideal for deep creative work.

Conversely, GPT-5-5 Pro offers a distinct advantage in high-volume, tool-integrated workflows. If your pipeline involves chaining multiple agents to generate prompts, refine them based on visual feedback, and organize them into a structured script, this model’s ability to orchestrate complex tasks is superior. It is particularly effective for copywriters who need to iterate rapidly, leveraging its robust vision capabilities to analyze draft frames and suggest immediate refinements.

Choosing between them often boils down to your creative process. If your focus is on the precision and literary quality of your scene descriptions, Claude is the preferred partner. If you are building a scalable, automated engine that integrates with external image generation tools to handle the heavy lifting, the robust ecosystem around GPT-5-5 Pro provides the necessary infrastructure to scale your production without sacrificing creative control.

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.