Cheapest Model for 10,000 Personalized Email Intros (400K-Token Batches)

Complete Analysis: 480,000 tokens for GPT-5.4 mini
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 mini model with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.138000 (rounded ~ $0.14) Total Cost
480,000 Total Tokens
17 minutes, 16.98 seconds Processing Time
463 Effective Tokens/Sec

Click Recalculate to update after making changes

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)
40%
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

$0.138000 Total Cost
$0.045000 Input Cost
$0.090000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
480,000Total Tokens
$0.000288Cost per 1K
3,478,261Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

17m 16s Processing Time
500 Tokens/Second
180ms Time to First Token
463 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

GPT-5.4 mini OpenAI

$0.138000 (rounded ~ $0.14)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 40% 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) $0.165000 (rounded ~ $0.17) Input: $0.075000 (rounded ~ $0.08)
Output: $0.090000
Optimized Cost $0.138000 (rounded ~ $0.14) Input: $0.075000 (rounded ~ $0.08)
Output: $0.090000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.027000 (rounded ~ $0.03) 16.4% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 400,000 input tokens and 80,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.090000
  • Total Cost: $0.138000 (rounded ~ $0.14)
  • Cost per 1K tokens: $0.000288
  • Tokens per dollar: 3,478,261 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: 17 minutes, 16.98 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 463 tokens/second (temperature-adjusted)

Best Use Cases

Mid-tier personalization requiring high logic and tool use without the price tag of pro-tier models.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 400,000
Output Tokens: 80,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Gemini 3.1 Flash Lite
Google
 $0.046000 (rounded ~ $0.05) Best Value ↓ 66.7% cheaper
🥈 Gemini 2.5 Flash
Google
 $0.069200 ↓ 49.9% cheaper
🥉 Grok 4.3
xAI
 $0.130000 ↓ 5.8% cheaper
#4 Grok 4.20 Beta
xAI
 $0.248000 (rounded ~ $0.25) ↑ 79.7% more
#5 Gemini 3.5 Flash
Google
 $0.276000 (rounded ~ $0.28) ↑ 100% more
#6 Gemini 3.1 Flash
Google
 $0.368000 (rounded ~ $0.37) ↑ 166.7% more
#7 Claude Sonnet 4.6
Anthropic
 $0.492000 (rounded ~ $0.49) ↑ 256.5% more
#8 Claude Opus 4.7
Anthropic
 $0.820000 ↑ 494.2% more
#9 Claude Opus 4.8
Anthropic
 $0.820000 ↑ 494.2% more
#10 Claude Opus 4.6
Anthropic
 $0.820000 ↑ 494.2% more
#11 Gemini 2.5 Pro
Google
 $0.920000 ↑ 566.7% more
#12 Gemini 3.1 Pro
Google
 $1.232000 (rounded ~ $1.23) ↑ 792.8% more
#13 GPT-5.4
OpenAI
 $1.540000 ↑ 1015.9% more
#14 GPT-5.4 Thinking
OpenAI
 $1.540000 ↑ 1015.9% more
#15 GPT-5.5
OpenAI
 $3.080000 ↑ 2131.9% more
#16 GPT-5.5
OpenAI
 $3.080000 ↑ 2131.9% more
🏆

Gemini 3.1 Flash Lite
Google

$0.046000 (rounded ~ $0.05)
vs GPT-5.4 mini: ↓ 66.7%
🥈

Gemini 2.5 Flash
Google

$0.069200
vs GPT-5.4 mini: ↓ 49.9%
🥉

Grok 4.3
xAI

$0.130000
vs GPT-5.4 mini: ↓ 5.8%
#4

Grok 4.20 Beta
xAI

$0.248000 (rounded ~ $0.25)
vs GPT-5.4 mini: ↑ 79.7%
#5

Gemini 3.5 Flash
Google

$0.276000 (rounded ~ $0.28)
vs GPT-5.4 mini: ↑ 100%
#6

Gemini 3.1 Flash
Google

$0.368000 (rounded ~ $0.37)
vs GPT-5.4 mini: ↑ 166.7%
#7

Claude Sonnet 4.6
Anthropic

$0.492000 (rounded ~ $0.49)
vs GPT-5.4 mini: ↑ 256.5%
#8

Claude Opus 4.7
Anthropic

$0.820000
vs GPT-5.4 mini: ↑ 494.2%
#9

Claude Opus 4.8
Anthropic

$0.820000
vs GPT-5.4 mini: ↑ 494.2%
#10

Claude Opus 4.6
Anthropic

$0.820000
vs GPT-5.4 mini: ↑ 494.2%
#11

Gemini 2.5 Pro
Google

$0.920000
vs GPT-5.4 mini: ↑ 566.7%
#12

Gemini 3.1 Pro
Google

$1.232000 (rounded ~ $1.23)
vs GPT-5.4 mini: ↑ 792.8%
#13

GPT-5.4
OpenAI

$1.540000
vs GPT-5.4 mini: ↑ 1015.9%
#14

GPT-5.4 Thinking
OpenAI

$1.540000
vs GPT-5.4 mini: ↑ 1015.9%
#15

GPT-5.5
OpenAI

$3.080000
vs GPT-5.4 mini: ↑ 2131.9%
#16

GPT-5.5
OpenAI

$3.080000
vs GPT-5.4 mini: ↑ 2131.9%
✨ 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 Subscriber Engagement with Efficiency

Producing personalized content for a 10,000-subscriber list involves significant token throughput, especially when providing the model with historical viewer data and individual preferences. GPT-5.4 mini represents the modern “small-but-mighty” model class, offering a sophisticated reasoning engine that far exceeds its predecessors. For YouTube creators, this model provides enough logical depth to synthesize disparate data points—like a subscriber’s favorite video and their specific comment history—into a cohesive, three-sentence introduction that feels personally written.

  • Optimized for high-accuracy text generation in bulk.
  • Supports complex tool-calling for live YouTube data integration.

The 400,000-token context window is a strategic sweet spot for batch processing. It allows for a substantial amount of reference material to be injected into each prompt, ensuring that the personalization feels authentic rather than generic. While larger models exist, this mini variant is often the most sensible choice for text-heavy workloads where the goal is high accuracy in tone and detail without the overhead of frontier-class reasoning. It integrates seamlessly with standard marketing automation tools and offers robust function calling if your newsletter pipeline needs to pull live data from the YouTube API during the generation process. This makes it a reliable workhorse for producers who need to automate the boring parts of audience building while maintaining a strictly personal touch.

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.