Monthly Budget: Personalized Newsletters at 1M Tokens Monthly

GPT-5.4 vs Claude Sonnet 4.6
Complete Comparison: 1,000,000 input tokens × 500,000 output tokens
Comparison Mode
⚡ 20% Cached

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

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-5.4
OpenAI
Claude Sonnet 4.6
Anthropic
Calculation Results (Current Inputs) (20% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 500,000 500,000
Cost Breakdown
Input Cost $2.500000Worst $0.750000Best
Output Cost $5.625000 (rounded ~ $5.63)Worst $1.875000 (rounded ~ $1.88)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $7.675000 (rounded ~ $7.68) Most Expensive $2.490000 Best Value
Processing Time 1 hour, 3 minutes, 41.61 seconds Slowest 59 minutes, 26.85 seconds Fastest
Tokens per Second 420Slowest 450Fastest
Time to First Token 210ms Worst 200ms Best
Cost per 1K tokens $0.005117 (rounded ~ $0.01)Worst $0.001660Best
Tokens per Dollar 195,440Worst Value 602,410Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Worst $0.750000Best
Output Cost / 1M (Base) $11.250000Worst $3.750000Best
Input Cost / 1M (Optimized) $1.250000Worst
Optimizations: 50.0% batch
$0.375000 (rounded ~ $0.38)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $5.625000 (rounded ~ $5.63)Worst
Optimizations: 50.0% batch
$1.875000 (rounded ~ $1.88)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

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Second Model

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All other parameters will be preserved from the current comparison.

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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,024,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.4
OpenAIMax Context: 1,024,000 tokens
$2.5 / $15 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
▼
▼
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.

Calculate Token Costs

$7.675000 Total Cost
$2.000000 Input Cost
$5.625000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,500,000Total Tokens
$0.005117Cost per 1K
195,440Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

63m 41s Processing Time
420 Tokens/Second
210ms Time to First Token
393 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.

GPT-5.4 OpenAI 1024000 🏔️ Context Cliff

$7.675000 (rounded ~ $7.68)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,024,000 tokens. Budgeting mode active.
⚡ 20% Cached 📊 Batch API
👁️
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) $8.125000 (rounded ~ $8.13) Input: $2.500000
Output: $5.625000 (rounded ~ $5.63)
Optimized Cost $7.675000 (rounded ~ $7.68) Input: $2.500000
Output: $5.625000 (rounded ~ $5.63)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 5.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 500,000 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $5.625000 (rounded ~ $5.63)
  • Total Cost: $7.675000 (rounded ~ $7.68)
  • Cost per 1K tokens: $0.005117 (rounded ~ $0.01)
  • Tokens per dollar: 195,440 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 1 hour, 3 minutes, 41.61 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for mid-market healthcare SaaS platforms requiring high-volume personalization with a focus on either clinical structural accuracy or empathetic patient-facing tone.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. 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 →

Claude Sonnet 4.6 Anthropic 1000000

$2.490000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% Cached 📊 Batch API
👁️
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) $2.625000 (rounded ~ $2.63) Input: $0.750000
Output: $1.875000 (rounded ~ $1.88)
Optimized Cost $2.490000 Input: $0.750000
Output: $1.875000 (rounded ~ $1.88)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.135000 (rounded ~ $0.14) 5.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 500,000 output tokens:

  • Input Cost: $0.750000
  • Output Cost: $1.875000 (rounded ~ $1.88)
  • Total Cost: $2.490000
  • Cost per 1K tokens: $0.001660
  • Tokens per dollar: 602,410 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 59 minutes, 26.85 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for mid-market healthcare SaaS platforms requiring high-volume personalization with a focus on either clinical structural accuracy or empathetic patient-facing tone.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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 GPT-5.4
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 500,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Rank AI Model & Provider Total Cost vs GPT-5.4 vs Claude Sonnet 4.6
🏆 Grok 4.20 Beta
xAI
 $1.160000 Best Value ↓ 84.9% cheaper ↓ 53.4% cheaper
🥈 Gemini 2.5 Pro
Google
 $4.775000 (rounded ~ $4.78) ↓ 37.8% cheaper ↑ 91.8% more
🥉 Gemini 2.5 Pro
Google
 $4.775000 (rounded ~ $4.78) ↓ 37.8% cheaper ↑ 91.8% more
🏆

Grok 4.20 Beta
xAI

$1.160000
vs GPT-5.4: ↓ 84.9%
vs Claude Sonnet 4.6: ↓ 53.4%
🥈

Gemini 2.5 Pro
Google

$4.775000 (rounded ~ $4.78)
vs GPT-5.4: ↓ 37.8%
vs Claude Sonnet 4.6: ↑ 91.8%
🥉

Gemini 2.5 Pro
Google

$4.775000 (rounded ~ $4.78)
vs GPT-5.4: ↓ 37.8%
vs Claude Sonnet 4.6: ↑ 91.8%
✨ 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 Personalized Healthcare Newsletters

Scaling personalized communication for high-volume healthcare newsletters requires a balance between medical accuracy and operational throughput. When administrators automate 1M tokens monthly of personalized intros for 10,000 subscribers, the primary concern is maintaining HIPAA-compliant workflows while ensuring clinical terminology is handled with precision. Choosing between mid-tier frontier models allows teams to process significant data volumes without the prohibitive costs of top-tier reasoning models.

Claude Sonnet 4.6 is recognized for its sophisticated grasp of tone and context, which is vital for patient-facing engagement. It excels at following nuanced style guides, making it a strong candidate for newsletters that require a compassionate or professional brand voice. Its large context window allows for the ingestion of comprehensive patient history snippets to ensure personalization is relevant and safe.

Conversely, GPT-5.4 offers exceptional logic and instruction-following, crucial when intros must adhere to strict formatting for audit trails or include specific data points from electronic health records. It is a reliable workhorse for SaaS teams building automated pipelines that require high reliability and structured outputs. Administrators should evaluate these options based on their need for narrative fluidity versus structural rigidity. Both providers offer the security frameworks necessary for healthcare applications, but the final decision often rests on which model’s latent ‘personality’ better aligns with the organization’s patient communication strategy. Batch processing capabilities are a key consideration here to optimize the delivery of non-urgent content.

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 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.