Cost per 1M Tokens: GPT-5.4 mini for Automated Marketing A/B Testing

Complete Analysis: 1,004,000 tokens for GPT-5.4 mini
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 mini model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.107625 (rounded ~ $0.11) Total Cost
1,004,000 Total Tokens
36 minutes, 8.82 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)
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.

Calculate Token Costs

$0.107625 Total Cost
$0.093750 Input Cost
$0.004500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,004,000Total Tokens
$0.000107Cost per 1K
9,328,688Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

36m 8s 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

$0.107625 (rounded ~ $0.11)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 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) $0.192000 (rounded ~ $0.19) Input: $0.187500 (rounded ~ $0.19)
Output: $0.004500
Optimized Cost $0.107625 (rounded ~ $0.11) Input: $0.187500 (rounded ~ $0.19)
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.084375 (rounded ~ $0.08) 43.9% 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 4,000 output tokens:

  • Input Cost: $0.187500 (rounded ~ $0.19)
  • Output Cost: $0.004500
  • Total Cost: $0.107625 (rounded ~ $0.11)
  • Cost per 1K tokens: $0.000107
  • Tokens per dollar: 9,328,688 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: 36 minutes, 8.82 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 463 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volume marketing automationsubject line generationand high-throughput A/B testing where latency and efficiency are paramount.

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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.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 4,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Grok 4.20 Beta
xAI
 $0.281000 (rounded ~ $0.28) Best Value ↑ 161.1% more
🥈 Gemini 2.5 Pro
Google
 $0.717500 (rounded ~ $0.72) ↑ 566.7% more
🥉 Gemini 3.1 Pro
Google
 $1.136000 (rounded ~ $1.14) ↑ 955.5% more
#4 GPT-5.4
OpenAI
 $1.420000 ↑ 1219.4% more
#5 GPT-5.4 Thinking
OpenAI
 $1.420000 ↑ 1219.4% more
#6 GPT-5.4 Thinking
OpenAI
 $1.420000 ↑ 1219.4% more
🏆

Grok 4.20 Beta
xAI

$0.281000 (rounded ~ $0.28)
vs GPT-5.4 mini: ↑ 161.1%
🥈

Gemini 2.5 Pro
Google

$0.717500 (rounded ~ $0.72)
vs GPT-5.4 mini: ↑ 566.7%
🥉

Gemini 3.1 Pro
Google

$1.136000 (rounded ~ $1.14)
vs GPT-5.4 mini: ↑ 955.5%
#4

GPT-5.4
OpenAI

$1.420000
vs GPT-5.4 mini: ↑ 1219.4%
#5

GPT-5.4 Thinking
OpenAI

$1.420000
vs GPT-5.4 mini: ↑ 1219.4%
#6

GPT-5.4 Thinking
OpenAI

$1.420000
vs GPT-5.4 mini: ↑ 1219.4%
✨ 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.

Scale Efficiency for Automated Marketing A/B Testing

In the high-cadence world of newsletter growth, generating 20 variations of every subject line and call-to-action is essential for performance optimization. GPT-5.4 mini serves as a specialized workhorse for this specific high-volume workload. Its architecture is tuned for tasks where speed is as critical as reasoning quality.

For research-heavy publishers, this model offers a distinct advantage in maintaining brand voice across thousands of iterations. While larger “frontier” models might offer slightly more creative flair, the GPT-5.4 mini demonstrates remarkable consistency in structured output, ensuring that automated experiments remain valid and clean for analysis.

  • Latency Considerations: The reduced parameter count of the mini-tier models allows for near-instantaneous generation, which is vital when running real-time personalization engines for 50,000 subscribers.
  • Tool Integration: It maintains robust support for function calling, allowing it to interface directly with your ESP (Email Service Provider) to inject variants into live campaigns.

Deploying this model for massive marketing automation allows publishers to reserve their premium model credits for deep investigative research and long-form synthesis.

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.