100K-Token Newsletter Personalization: GPT-5.4 mini at Enterprise Scale

Complete Analysis: 102,000 tokens for GPT-5.4 mini
⚡ 25% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 mini model with 25% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.016781 (rounded ~ $0.02) Total Cost
102,000 Total Tokens
3 minutes, 38.46 seconds Processing Time
467 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-5.4 mini

OpenAIMax Context: 400,000 tokens
$0.75 / $4.5 per 1M tokens
25%
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

$0.016781 Total Cost
$0.014063 Input Cost
$0.002250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000165Cost per 1K
6,078,212Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

3m 38s 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

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

GPT-5.4 mini OpenAI

$0.016781 (rounded ~ $0.02)
Total Cost
⚡ 25% 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) $0.021000 (rounded ~ $0.02) Input: $0.018750 (rounded ~ $0.02)
Output: $0.002250
Optimized Cost $0.016781 (rounded ~ $0.02) Input: $0.018750 (rounded ~ $0.02)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000
Total Savings $0.004219 20.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.018750 (rounded ~ $0.02)
  • Output Cost: $0.002250
  • Total Cost: $0.016781 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000165
  • Tokens per dollar: 6,078,212 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: 3 minutes, 38.46 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

High-volumerepetitive text generation like newsletter personalization where speed and cost-efficiency are prioritized over deep reasoning.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 25%
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Claude Haiku 5.5
Anthropic
 $0.004375 Best Value ↓ 73.9% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.004375 ↓ 73.9% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.004475 ↓ 73.3% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.005594 (rounded ~ $0.01) ↓ 66.7% cheaper
#5 Nemotron 3 Super
NVIDIA
 $0.006223 (rounded ~ $0.01) ↓ 62.9% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.007063 (rounded ~ $0.01) ↓ 57.9% cheaper
#7 Gemini 2.5 Flash
Google
 $0.007063 (rounded ~ $0.01) ↓ 57.9% cheaper
#8 Mistral Large 3
Mistral AI
 $0.010438 ↓ 37.8% cheaper
#9 Gemini 3.8 Flash
Google
 $0.016406 (rounded ~ $0.02) ↓ 2.2% cheaper
#10 Gemini 3.6 Flash
Google
 $0.016406 (rounded ~ $0.02) ↓ 2.2% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.021875 (rounded ~ $0.02) ↑ 30.4% more
#12 Gemini 3.1 Flash
Google
 $0.022375 (rounded ~ $0.02) ↑ 33.3% more
#13 Mistral Large 4
Mistral AI
 $0.028440 (rounded ~ $0.03) ↑ 69.5% more
#14 GPT-5.3 Codex Spark
OpenAI
 $0.040906 ↑ 143.8% more
#15 GPT-5.3 Instant
OpenAI
 $0.040906 ↑ 143.8% more
#16 Claude Sonnet 5.5
Anthropic
 $0.043125 (rounded ~ $0.04) ↑ 157% more
#17 Claude Sonnet 5
Anthropic
 $0.043750 (rounded ~ $0.04) ↑ 160.7% more
#18 Gemini 4 Argon
Google
 $0.043750 (rounded ~ $0.04) ↑ 160.7% more
#19 GPT-5.6 Terra
OpenAI
 $0.044750 (rounded ~ $0.04) ↑ 166.7% more
#20 Gemini 2.5 Pro
Google
 $0.058438 (rounded ~ $0.06) ↑ 248.2% more
#21 Claude Sonnet 4.6
Anthropic
 $0.065625 (rounded ~ $0.07) ↑ 291.1% more
#22 Grok 4.3
xAI
 $0.081500 (rounded ~ $0.08) ↑ 385.7% more
#23 Grok 4.20 Beta
xAI
 $0.081500 (rounded ~ $0.08) ↑ 385.7% more
#24 Claude Opus 5.5
Anthropic
 $0.086250 (rounded ~ $0.09) ↑ 414% more
#25 GPT-6.1 Sol
OpenAI
 $0.087500 (rounded ~ $0.09) ↑ 421.4% more
#26 GPT-6 Sol
OpenAI
 $0.087500 (rounded ~ $0.09) ↑ 421.4% more
#27 GPT-5.6 Sol
OpenAI
 $0.087500 (rounded ~ $0.09) ↑ 421.4% more
#28 Gemini 3.1 Pro
Google
 $0.089500 ↑ 433.3% more
#29 Claude Opus 4.7
Anthropic
 $0.109375 ↑ 551.8% more
#30 Claude Opus 5
Anthropic
 $0.109375 ↑ 551.8% more
#31 Claude Opus 4.8
Anthropic
 $0.109375 ↑ 551.8% more
#32 Claude Opus 4.6
Anthropic
 $0.109375 ↑ 551.8% more
#33 GPT-5.4
OpenAI
 $0.111875 (rounded ~ $0.11) ↑ 566.7% more
#34 GPT-5.4 Thinking
OpenAI
 $0.111875 (rounded ~ $0.11) ↑ 566.7% more
#35 GPT-5.5 Instant
OpenAI
 $0.111875 (rounded ~ $0.11) ↑ 566.7% more
#36 Claude Fable 5.1
Anthropic
 $0.214063 (rounded ~ $0.21) ↑ 1175.6% more
#37 Claude Mythos 5.1
Anthropic
 $0.214063 (rounded ~ $0.21) ↑ 1175.6% more
#38 Claude Fable 5
Anthropic
 $0.218750 (rounded ~ $0.22) ↑ 1203.5% more
#39 Claude Mythos 5
Anthropic
 $0.218750 (rounded ~ $0.22) ↑ 1203.5% more
#40 GPT-5.5
OpenAI
 $0.223750 (rounded ~ $0.22) ↑ 1233.3% more
#41 GPT-6 Astra
OpenAI
 $0.437500 (rounded ~ $0.44) ↑ 2507.1% more
#42 GPT-5.2 Pro
OpenAI
 $0.490875 ↑ 2825.1% more
#43 GPT-5.2 Pro
OpenAI
 $0.490875 ↑ 2825.1% more
🏆

Claude Haiku 5.5
Anthropic

$0.004375
vs GPT-5.4 mini: ↓ 73.9%
🥈

GPT-6 Luna
OpenAI

$0.004375
vs GPT-5.4 mini: ↓ 73.9%
🥉

GPT-5.6 Luna
OpenAI

$0.004475
vs GPT-5.4 mini: ↓ 73.3%
#4

Gemini 3.1 Flash Lite
Google

$0.005594 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 66.7%
#5

Nemotron 3 Super
NVIDIA

$0.006223 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 62.9%
#6

Gemini 3.5 Flash-Lite
Google

$0.007063 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 57.9%
#7

Gemini 2.5 Flash
Google

$0.007063 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 57.9%
#8

Mistral Large 3
Mistral AI

$0.010438
vs GPT-5.4 mini: ↓ 37.8%
#9

Gemini 3.8 Flash
Google

$0.016406 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 2.2%
#10

Gemini 3.6 Flash
Google

$0.016406 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 2.2%
#11

Claude Haiku 4.5
Anthropic

$0.021875 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 30.4%
#12

Gemini 3.1 Flash
Google

$0.022375 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 33.3%
#13

Mistral Large 4
Mistral AI

$0.028440 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 69.5%
#14

GPT-5.3 Codex Spark
OpenAI

$0.040906
vs GPT-5.4 mini: ↑ 143.8%
#15

GPT-5.3 Instant
OpenAI

$0.040906
vs GPT-5.4 mini: ↑ 143.8%
#16

Claude Sonnet 5.5
Anthropic

$0.043125 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 157%
#17

Claude Sonnet 5
Anthropic

$0.043750 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 160.7%
#18

Gemini 4 Argon
Google

$0.043750 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 160.7%
#19

GPT-5.6 Terra
OpenAI

$0.044750 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 166.7%
#20

Gemini 2.5 Pro
Google

$0.058438 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 248.2%
#21

Claude Sonnet 4.6
Anthropic

$0.065625 (rounded ~ $0.07)
vs GPT-5.4 mini: ↑ 291.1%
#22

Grok 4.3
xAI

$0.081500 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 385.7%
#23

Grok 4.20 Beta
xAI

$0.081500 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 385.7%
#24

Claude Opus 5.5
Anthropic

$0.086250 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 414%
#25

GPT-6.1 Sol
OpenAI

$0.087500 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 421.4%
#26

GPT-6 Sol
OpenAI

$0.087500 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 421.4%
#27

GPT-5.6 Sol
OpenAI

$0.087500 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 421.4%
#28

Gemini 3.1 Pro
Google

$0.089500
vs GPT-5.4 mini: ↑ 433.3%
#29

Claude Opus 4.7
Anthropic

$0.109375
vs GPT-5.4 mini: ↑ 551.8%
#30

Claude Opus 5
Anthropic

$0.109375
vs GPT-5.4 mini: ↑ 551.8%
#31

Claude Opus 4.8
Anthropic

$0.109375
vs GPT-5.4 mini: ↑ 551.8%
#32

Claude Opus 4.6
Anthropic

$0.109375
vs GPT-5.4 mini: ↑ 551.8%
#33

GPT-5.4
OpenAI

$0.111875 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 566.7%
#34

GPT-5.4 Thinking
OpenAI

$0.111875 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 566.7%
#35

GPT-5.5 Instant
OpenAI

$0.111875 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 566.7%
#36

Claude Fable 5.1
Anthropic

$0.214063 (rounded ~ $0.21)
vs GPT-5.4 mini: ↑ 1175.6%
#37

Claude Mythos 5.1
Anthropic

$0.214063 (rounded ~ $0.21)
vs GPT-5.4 mini: ↑ 1175.6%
#38

Claude Fable 5
Anthropic

$0.218750 (rounded ~ $0.22)
vs GPT-5.4 mini: ↑ 1203.5%
#39

Claude Mythos 5
Anthropic

$0.218750 (rounded ~ $0.22)
vs GPT-5.4 mini: ↑ 1203.5%
#40

GPT-5.5
OpenAI

$0.223750 (rounded ~ $0.22)
vs GPT-5.4 mini: ↑ 1233.3%
#41

GPT-6 Astra
OpenAI

$0.437500 (rounded ~ $0.44)
vs GPT-5.4 mini: ↑ 2507.1%
#42

GPT-5.2 Pro
OpenAI

$0.490875
vs GPT-5.4 mini: ↑ 2825.1%
#43

GPT-5.2 Pro
OpenAI

$0.490875
vs GPT-5.4 mini: ↑ 2825.1%
✨ 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 a 20-person startup, the challenge of sending 10,000+ personalized newsletters isn’t just about content—it is about architectural efficiency. When processing hundreds of thousands of tokens per run, opting for an optimized model like GPT-5.4 mini ensures you can maintain high throughput without hitting the cost ceilings associated with frontier models.

GPT-5.4 mini is engineered for high-frequency tasks where latency and cost-per-token are critical constraints. For newsletter personalization, where the prompt structure is often consistent (e.g., injecting user-specific interests into a standardized template), this model provides the ideal balance of reasoning capability and operational speed. It effectively handles structured data extraction and personalized copy generation without the overhead of larger, more reasoning-intensive models that are better suited for complex, multi-step analysis.

Architecting your pipeline for this scale requires more than just API calls. By batching your personalization requests, you can maximize throughput while keeping latency low. Implementing a semantic cache in front of your newsletter generation pipeline is a recommended practice to avoid re-processing identical user segments or repeated content chunks. This approach ensures that your startup can scale to 100 million tokens monthly while maintaining a lean infrastructure, keeping focus on core product innovation rather than managing bloated AI spend. This model serves as the backbone for high-volume text automation where consistency and speed drive engagement.

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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