5M Tokens Monthly: Personalized Newsletter Automation for 10,000 Subscribers

GPT-5.4 mini vs Claude Haiku 4.6
Complete Comparison: 5,000,000 input tokens × 1,000 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 mini
OpenAI
Claude Haiku 4.6
Anthropic
Calculation Results (Current Inputs) (20% cached)
Input Tokens 5,000,000 5,000,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.937500 (rounded ~ $0.94)Worst $0.312500 (rounded ~ $0.31)Best
Output Cost $0.001125Worst $0.000313Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.769875 Most Expensive $0.256563 (rounded ~ $0.26) Best Value
Processing Time 2 hours, 58 minutes, 22.32 seconds Slowest 1 hour, 44 minutes, 55.56 seconds Fastest
Tokens per Second 500Slowest 850Fastest
Time to First Token 180ms Worst 75ms Best
Cost per 1K tokens $0.000154Worst $0.000051Best
Tokens per Dollar 6,495,860Worst Value 19,492,326Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.187500 (rounded ~ $0.19)Worst $0.062500 (rounded ~ $0.06)Best
Output Cost / 1M (Base) $1.125000 (rounded ~ $1.13)Worst $0.312500 (rounded ~ $0.31)Best
Input Cost / 1M (Optimized) $0.093750 (rounded ~ $0.09)Worst
Optimizations: 50.0% batch
$0.031250 (rounded ~ $0.03)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.562500 (rounded ~ $0.56)Worst
Optimizations: 50.0% batch
$0.156250 (rounded ~ $0.16)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
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.

Select AI Model

GPT-5.4 mini
OpenAIMax Context: 400,000 tokens
$0.75 / $4.5 per 1M tokens
▼
▼
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

$0.769875 Total Cost
$0.750000 Input Cost
$0.001125 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
5,001,000Total Tokens
$0.000154Cost per 1K
6,495,860Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

178m 22s Processing Time
500 Tokens/Second
180ms Time to First Token
467 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 mini OpenAI

$0.769875
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 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) $0.938625 (rounded ~ $0.94) Input: $0.937500 (rounded ~ $0.94)
Output: $0.001125
Optimized Cost $0.769875 Input: $0.937500 (rounded ~ $0.94)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.168750 (rounded ~ $0.17) 18.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.937500 (rounded ~ $0.94)
  • Output Cost: $0.001125
  • Total Cost: $0.769875
  • Cost per 1K tokens: $0.000154
  • Tokens per dollar: 6,495,860 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: 2 hours, 58 minutes, 22.32 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

High-volume personalized text generation where latency and cost-efficiency are critical for scalable newsletter automation.

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.

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Claude Haiku 4.6 Anthropic

$0.256563 (rounded ~ $0.26)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 200,000 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) $0.312813 (rounded ~ $0.31) Input: $0.312500 (rounded ~ $0.31)
Output: $0.000313
Optimized Cost $0.256563 (rounded ~ $0.26) Input: $0.312500 (rounded ~ $0.31)
Output: $0.000313
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 18.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 5,000,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.312500 (rounded ~ $0.31)
  • Output Cost: $0.000313
  • Total Cost: $0.256563 (rounded ~ $0.26)
  • Cost per 1K tokens: $0.000051
  • Tokens per dollar: 19,492,326 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 75ms time to first token:

  • Processing Time: 1 hour, 44 minutes, 55.56 seconds
  • Latency: 75 milliseconds to first token
  • Base Throughput: 850 tokens/second
  • Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

High-volume personalized text generation where latency and cost-efficiency are critical for scalable newsletter automation.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Haiku 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 mini
📋 Active Input Parameters
Input Tokens: 5,000,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
🔍
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.

Scaling personalized newsletters for 10,000 subscribers requires balancing granular content relevance with strict operational efficiency. When generating a unique introduction for every single reader, your infrastructure faces a constant throughput challenge. You are not just generating text; you are managing a high-concurrency pipeline where latency spikes can derail your entire delivery schedule. The choice of model often comes down to this specific trade-off: reasoning depth versus raw generation speed.

GPT-5.4 mini and Claude Haiku 4.6 represent the current frontier for this workload. Both models are optimized for high-volume, low-latency text tasks, making them ideal for the repetitive yet nuanced work of personalized intro generation. GPT-5.4 mini tends to excel when the newsletter requires complex reasoning or sophisticated integration with structured data inputs, allowing it to maintain a coherent voice even when drawing from diverse user attributes. Conversely, Claude Haiku 4.6 is frequently favored for its exceptional brevity and speed, often outperforming in scenarios where the goal is to get the content out the door with minimal delay.

For most data analysts, the decision rests on the nature of the personalization. If your newsletters rely on intricate multi-step reasoning, prioritizing the reasoning capabilities of the OpenAI model is often the better path. If your priority is strictly minimizing the time-to-delivery for 10,000 concurrent requests, the Anthropic model’s speed profile makes it a compelling candidate. Ultimately, testing both models against your specific prompt structure is essential to finding the right balance of voice and velocity.

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.

Related model pricing

GPT-5.4 mini currently costs $0.75 / $4.50 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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