GPT-5.4 mini: 200K-Token Latency Optimization for Real-Time Support

Complete Analysis: 201,000 tokens for GPT-5.4 mini
⚡ 90% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 mini model with 90% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.008250 (rounded ~ $0.01) Total Cost
201,000 Total Tokens
7 minutes, 10.32 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
▼
▼
Use Batch API (50% discount)
90%
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

$0.008250 Total Cost
$0.003750 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
201,000Total Tokens
$0.000041Cost per 1K
24,363,636Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

7m 10s 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

$0.008250 (rounded ~ $0.01)
Total Cost
⚡ 90% 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) $0.038625 (rounded ~ $0.04) Input: $0.037500 (rounded ~ $0.04)
Output: $0.001125
Optimized Cost $0.008250 (rounded ~ $0.01) Input: $0.037500 (rounded ~ $0.04)
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.030375 78.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.037500 (rounded ~ $0.04)
  • Output Cost: $0.001125
  • Total Cost: $0.008250 (rounded ~ $0.01)
  • Cost per 1K tokens: $0.000041
  • Tokens per dollar: 24,363,636 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: 7 minutes, 10.32 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

The gold standard for high-volumelatency-sensitive support operations requiring efficientrapid response generation.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 90%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Gemini 3.1 Flash Lite
Google
 $0.002750 Best Value ↓ 66.7% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.003475 ↓ 57.9% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.003475 ↓ 57.9% cheaper
#4 Mistral Large 3
Mistral AI
 $0.005125 (rounded ~ $0.01) ↓ 37.9% cheaper
#5 Gemini 3.8 Flash
Google
 $0.008063 (rounded ~ $0.01) ↓ 2.3% cheaper
#6 Claude Haiku 4.5
Anthropic
 $0.010750 ↑ 30.3% more
#7 GPT-5.6 Luna
OpenAI
 $0.011000 ↑ 33.3% more
#8 Gemini 3.6 Flash
Google
 $0.016125 (rounded ~ $0.02) ↑ 95.5% more
#9 Gemini 3.5 Flash
Google
 $0.016500 (rounded ~ $0.02) ↑ 100% more
#10 Claude Sonnet 5
Anthropic
 $0.021500 (rounded ~ $0.02) ↑ 160.6% more
#11 Gemini 3.1 Flash
Google
 $0.022000 (rounded ~ $0.02) ↑ 166.7% more
#12 GPT-5.6 Terra
OpenAI
 $0.027500 (rounded ~ $0.03) ↑ 233.3% more
#13 Claude Sonnet 4.6
Anthropic
 $0.032250 (rounded ~ $0.03) ↑ 290.9% more
#14 Claude Opus 4.7
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 551.5% more
#15 Claude Opus 5
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 551.5% more
#16 Claude Opus 4.8
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 551.5% more
#17 Claude Opus 4.6
Anthropic
 $0.053750 (rounded ~ $0.05) ↑ 551.5% more
#18 GPT-5.4
OpenAI
 $0.055000 (rounded ~ $0.06) ↑ 566.7% more
#19 GPT-5.4 Thinking
OpenAI
 $0.055000 (rounded ~ $0.06) ↑ 566.7% more
#20 Gemini 2.5 Pro
Google
 $0.055000 (rounded ~ $0.06) ↑ 566.7% more
#21 GPT-5.5 Instant
OpenAI
 $0.055000 (rounded ~ $0.06) ↑ 566.7% more
#22 GPT-5.6 Sol
OpenAI
 $0.055000 (rounded ~ $0.06) ↑ 566.7% more
#23 Claude Fable 5.1
Anthropic
 $0.073750 (rounded ~ $0.07) ↑ 793.9% more
#24 Claude Mythos 5.1
Anthropic
 $0.073750 (rounded ~ $0.07) ↑ 793.9% more
#25 Grok 4.3
xAI
 $0.080000 ↑ 869.7% more
#26 Grok 4.20 Beta
xAI
 $0.080000 ↑ 869.7% more
#27 Gemini 3.1 Pro
Google
 $0.085000 (rounded ~ $0.09) ↑ 930.3% more
#28 Claude Fable 5
Anthropic
 $0.107500 (rounded ~ $0.11) ↑ 1203% more
#29 Claude Mythos 5
Anthropic
 $0.107500 (rounded ~ $0.11) ↑ 1203% more
#30 GPT-5.5
OpenAI
 $0.212500 (rounded ~ $0.21) ↑ 2475.8% more
#31 GPT-6 Astra
OpenAI
 $0.430000 ↑ 5112.1% more
#32 GPT-6 Astra
OpenAI
 $0.430000 ↑ 5112.1% more
🏆

Gemini 3.1 Flash Lite
Google

$0.002750
vs GPT-5.4 mini: ↓ 66.7%
🥈

Gemini 3.5 Flash-Lite
Google

$0.003475
vs GPT-5.4 mini: ↓ 57.9%
🥉

Gemini 2.5 Flash
Google

$0.003475
vs GPT-5.4 mini: ↓ 57.9%
#4

Mistral Large 3
Mistral AI

$0.005125 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 37.9%
#5

Gemini 3.8 Flash
Google

$0.008063 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 2.3%
#6

Claude Haiku 4.5
Anthropic

$0.010750
vs GPT-5.4 mini: ↑ 30.3%
#7

GPT-5.6 Luna
OpenAI

$0.011000
vs GPT-5.4 mini: ↑ 33.3%
#8

Gemini 3.6 Flash
Google

$0.016125 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 95.5%
#9

Gemini 3.5 Flash
Google

$0.016500 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 100%
#10

Claude Sonnet 5
Anthropic

$0.021500 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 160.6%
#11

Gemini 3.1 Flash
Google

$0.022000 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 166.7%
#12

GPT-5.6 Terra
OpenAI

$0.027500 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 233.3%
#13

Claude Sonnet 4.6
Anthropic

$0.032250 (rounded ~ $0.03)
vs GPT-5.4 mini: ↑ 290.9%
#14

Claude Opus 4.7
Anthropic

$0.053750 (rounded ~ $0.05)
vs GPT-5.4 mini: ↑ 551.5%
#15

Claude Opus 5
Anthropic

$0.053750 (rounded ~ $0.05)
vs GPT-5.4 mini: ↑ 551.5%
#16

Claude Opus 4.8
Anthropic

$0.053750 (rounded ~ $0.05)
vs GPT-5.4 mini: ↑ 551.5%
#17

Claude Opus 4.6
Anthropic

$0.053750 (rounded ~ $0.05)
vs GPT-5.4 mini: ↑ 551.5%
#18

GPT-5.4
OpenAI

$0.055000 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 566.7%
#19

GPT-5.4 Thinking
OpenAI

$0.055000 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 566.7%
#20

Gemini 2.5 Pro
Google

$0.055000 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 566.7%
#21

GPT-5.5 Instant
OpenAI

$0.055000 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 566.7%
#22

GPT-5.6 Sol
OpenAI

$0.055000 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 566.7%
#23

Claude Fable 5.1
Anthropic

$0.073750 (rounded ~ $0.07)
vs GPT-5.4 mini: ↑ 793.9%
#24

Claude Mythos 5.1
Anthropic

$0.073750 (rounded ~ $0.07)
vs GPT-5.4 mini: ↑ 793.9%
#25

Grok 4.3
xAI

$0.080000
vs GPT-5.4 mini: ↑ 869.7%
#26

Grok 4.20 Beta
xAI

$0.080000
vs GPT-5.4 mini: ↑ 869.7%
#27

Gemini 3.1 Pro
Google

$0.085000 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 930.3%
#28

Claude Fable 5
Anthropic

$0.107500 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 1203%
#29

Claude Mythos 5
Anthropic

$0.107500 (rounded ~ $0.11)
vs GPT-5.4 mini: ↑ 1203%
#30

GPT-5.5
OpenAI

$0.212500 (rounded ~ $0.21)
vs GPT-5.4 mini: ↑ 2475.8%
#31

GPT-6 Astra
OpenAI

$0.430000
vs GPT-5.4 mini: ↑ 5112.1%
#32

GPT-6 Astra
OpenAI

$0.430000
vs GPT-5.4 mini: ↑ 5112.1%
✨ 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.

Optimizing for High-Volume Speed

When scaling support infrastructure to handle millions of conversations, latency is often the primary bottleneck. GPT-5.4 mini is optimized for high-throughput, low-latency performance, making it the ideal candidate for standard, high-volume customer interactions where speed directly impacts user satisfaction scores. It provides the perfect balance for routine inquiries, status updates, and basic troubleshooting.

Enterprises often find that routing 90% of their traffic through a high-efficiency model like GPT-5.4 mini allows them to maintain a consistent user experience while managing massive token volumes—up to 1 billion tokens monthly—without ballooning their cloud infrastructure budget. Its architecture allows for rapid, parallel processing, which is essential for concurrent user streams.

Performance Tuning for Production

  • Throughput Management: The model is designed to handle high concurrency, ensuring that your support dashboard remains responsive even during peak traffic periods or marketing campaigns.
  • Context Window Utilization: With a 400K context window, it can hold long, multi-turn conversations in memory, reducing the need for constant session re-contextualization and improving flow.</
  • Implementation Strategy: We recommend pairing this model with a robust RAG caching layer. By caching frequent support snippets, you can minimize input token usage while maximizing the speed of common resolution pathways.

For infra teams focused on building resilient, fast, and cost-effective AI support layers, GPT-5.4 mini delivers the necessary performance to keep operations running smoothly at scale.

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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