COST OPTIMIZATION: GPT-5.4 mini for 400,000-Token Bulk Content Generation

Complete Analysis: 400,800 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
$0.042150 (rounded ~ $0.04) Total Cost
400,800 Total Tokens
14 minutes, 17.89 seconds Processing Time
467 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

$0.042150 Total Cost
$0.037500 Input Cost
$0.000900 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
400,800Total Tokens
$0.000105Cost per 1K
9,508,897Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

14m 17s 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

GPT-5.4 mini OpenAI

$0.042150 (rounded ~ $0.04)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 400,000 tokens. Budgeting mode active.
⚡ 50% 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) $0.075900 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.000900
Optimized Cost $0.042150 (rounded ~ $0.04) Input: $0.075000 (rounded ~ $0.08)
Output: $0.000900
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 44.5% 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 800 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.000900
  • Total Cost: $0.042150 (rounded ~ $0.04)
  • Cost per 1K tokens: $0.000105
  • Tokens per dollar: 9,508,897 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: 14 minutes, 17.89 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Perfect for high-throughputrepetitive content generation tasks requiring low latency and cost-effective scaling.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 400,000
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Gemini 3.1 Flash Lite
Google
 $0.014050 (rounded ~ $0.01) Best Value ↓ 66.7% cheaper
🥈 Nemotron 3 Super
NVIDIA
 $0.016664 (rounded ~ $0.02) ↓ 60.5% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.017000 (rounded ~ $0.02) ↓ 59.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.017000 (rounded ~ $0.02) ↓ 59.7% cheaper
#5 Gemini 3.8 Flash
Google
 $0.042000 (rounded ~ $0.04) ↓ 0.4% cheaper
#6 GPT-5.6 Luna
OpenAI
 $0.056200 (rounded ~ $0.06) ↑ 33.3% more
#7 Gemini 3.6 Flash
Google
 $0.084000 (rounded ~ $0.08) ↑ 99.3% more
#8 Gemini 3.5 Flash
Google
 $0.084300 (rounded ~ $0.08) ↑ 100% more
#9 Claude Sonnet 5
Anthropic
 $0.112000 (rounded ~ $0.11) ↑ 165.7% more
#10 Gemini 3.1 Flash
Google
 $0.112400 (rounded ~ $0.11) ↑ 166.7% more
#11 GPT-5.6 Terra
OpenAI
 $0.140500 ↑ 233.3% more
#12 Claude Sonnet 4.6
Anthropic
 $0.168000 (rounded ~ $0.17) ↑ 298.6% more
#13 Claude Opus 4.7
Anthropic
 $0.280000 ↑ 564.3% more
#14 Claude Opus 5
Anthropic
 $0.280000 ↑ 564.3% more
#15 Claude Opus 4.8
Anthropic
 $0.280000 ↑ 564.3% more
#16 Claude Opus 4.6
Anthropic
 $0.280000 ↑ 564.3% more
#17 Gemini 2.5 Pro
Google
 $0.281000 (rounded ~ $0.28) ↑ 566.7% more
#18 GPT-5.6 Sol
OpenAI
 $0.281000 (rounded ~ $0.28) ↑ 566.7% more
#19 Grok 4.3
xAI
 $0.443200 (rounded ~ $0.44) ↑ 951.5% more
#20 Grok 4.20 Beta
xAI
 $0.443200 (rounded ~ $0.44) ↑ 951.5% more
#21 Gemini 3.1 Pro
Google
 $0.447200 (rounded ~ $0.45) ↑ 961% more
#22 Claude Fable 5.1
Anthropic
 $0.522500 (rounded ~ $0.52) ↑ 1139.6% more
#23 Claude Mythos 5.1
Anthropic
 $0.522500 (rounded ~ $0.52) ↑ 1139.6% more
#24 GPT-5.4
OpenAI
 $0.559000 (rounded ~ $0.56) ↑ 1226.2% more
#25 GPT-5.4 Thinking
OpenAI
 $0.559000 (rounded ~ $0.56) ↑ 1226.2% more
#26 Claude Fable 5
Anthropic
 $0.560000 ↑ 1228.6% more
#27 Claude Mythos 5
Anthropic
 $0.560000 ↑ 1228.6% more
#28 GPT-5.5
OpenAI
 $1.118000 (rounded ~ $1.12) ↑ 2552.4% more
#29 GPT-6 Astra
OpenAI
 $2.240000 ↑ 5214.4% more
#30 GPT-6 Astra
OpenAI
 $2.240000 ↑ 5214.4% more
🏆

Gemini 3.1 Flash Lite
Google

$0.014050 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 66.7%
🥈

Nemotron 3 Super
NVIDIA

$0.016664 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 60.5%
🥉

Gemini 3.5 Flash-Lite
Google

$0.017000 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 59.7%
#4

Gemini 2.5 Flash
Google

$0.017000 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 59.7%
#5

Gemini 3.8 Flash
Google

$0.042000 (rounded ~ $0.04)
vs GPT-5.4 mini: ↓ 0.4%
#6

GPT-5.6 Luna
OpenAI

$0.056200 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 33.3%
#7

Gemini 3.6 Flash
Google

$0.084000 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 99.3%
#8

Gemini 3.5 Flash
Google

$0.084300 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 100%
#9

Claude Sonnet 5
Anthropic

$0.112000 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 165.7%
#10

Gemini 3.1 Flash
Google

$0.112400 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 166.7%
#11

GPT-5.6 Terra
OpenAI

$0.140500
vs GPT-5.4 mini: ↑ 233.3%
#12

Claude Sonnet 4.6
Anthropic

$0.168000 (rounded ~ $0.17)
vs GPT-5.4 mini: ↑ 298.6%
#13

Claude Opus 4.7
Anthropic

$0.280000
vs GPT-5.4 mini: ↑ 564.3%
#14

Claude Opus 5
Anthropic

$0.280000
vs GPT-5.4 mini: ↑ 564.3%
#15

Claude Opus 4.8
Anthropic

$0.280000
vs GPT-5.4 mini: ↑ 564.3%
#16

Claude Opus 4.6
Anthropic

$0.280000
vs GPT-5.4 mini: ↑ 564.3%
#17

Gemini 2.5 Pro
Google

$0.281000 (rounded ~ $0.28)
vs GPT-5.4 mini: ↑ 566.7%
#18

GPT-5.6 Sol
OpenAI

$0.281000 (rounded ~ $0.28)
vs GPT-5.4 mini: ↑ 566.7%
#19

Grok 4.3
xAI

$0.443200 (rounded ~ $0.44)
vs GPT-5.4 mini: ↑ 951.5%
#20

Grok 4.20 Beta
xAI

$0.443200 (rounded ~ $0.44)
vs GPT-5.4 mini: ↑ 951.5%
#21

Gemini 3.1 Pro
Google

$0.447200 (rounded ~ $0.45)
vs GPT-5.4 mini: ↑ 961%
#22

Claude Fable 5.1
Anthropic

$0.522500 (rounded ~ $0.52)
vs GPT-5.4 mini: ↑ 1139.6%
#23

Claude Mythos 5.1
Anthropic

$0.522500 (rounded ~ $0.52)
vs GPT-5.4 mini: ↑ 1139.6%
#24

GPT-5.4
OpenAI

$0.559000 (rounded ~ $0.56)
vs GPT-5.4 mini: ↑ 1226.2%
#25

GPT-5.4 Thinking
OpenAI

$0.559000 (rounded ~ $0.56)
vs GPT-5.4 mini: ↑ 1226.2%
#26

Claude Fable 5
Anthropic

$0.560000
vs GPT-5.4 mini: ↑ 1228.6%
#27

Claude Mythos 5
Anthropic

$0.560000
vs GPT-5.4 mini: ↑ 1228.6%
#28

GPT-5.5
OpenAI

$1.118000 (rounded ~ $1.12)
vs GPT-5.4 mini: ↑ 2552.4%
#29

GPT-6 Astra
OpenAI

$2.240000
vs GPT-5.4 mini: ↑ 5214.4%
#30

GPT-6 Astra
OpenAI

$2.240000
vs GPT-5.4 mini: ↑ 5214.4%
✨ 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.

Maximizing Efficiency in High-Volume Content Pipelines

Efficiency is the primary driver when scaling to 400,000-token batches for routine content tasks. For many social media and e-commerce teams, the goal is not merely intelligence but consistent throughput. In this scenario, GPT-5.4 mini emerges as a powerful tool for teams optimizing for high-frequency, repetitive content generation tasks like product descriptions.

The strength of this model lies in its ability to maintain high speed while adhering to standard constraints. When you are generating thousands of descriptions, you don’t necessarily need the deepest reasoning capabilities of frontier models; you need a model that executes instructions with low latency and high predictability. GPT-5.4 mini is engineered to minimize the friction often associated with bulk generation, making it an ideal candidate for pipelines where you need to balance quality output against the operational demands of massive, recurring batches.

Because this model is highly optimized for performance, it fits well into workflows where you are feeding structured data and expecting a clean, uniform output format. It handles the bulk aspect of content generation gracefully, ensuring that your automated systems don’t experience the bottlenecks that can occur with larger, more compute-heavy models. For teams that have already refined their prompt engineering and are looking to scale, this model provides the reliable, predictable output necessary to maintain a constant stream of content across multiple brand accounts without overcomplicating your technical infrastructure.

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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