GPT-5.4 Mini Cost for 100K-Token Knowledge Base RAG

Complete Analysis: 101,000 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)
$0.045750 (rounded ~ $0.05) Total Cost
101,000 Total Tokens
3 minutes, 28.24 seconds Processing Time
485 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)
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

$0.045750 Total Cost
$0.037500 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
101,000Total Tokens
$0.000453Cost per 1K
2,207,650Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 28s Processing Time
500 Tokens/Second
180ms Time to First Token
485 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

$0.045750 (rounded ~ $0.05)
Total Cost
⚡ 50% Cached 🔧 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) $0.079500 Input: $0.075000 (rounded ~ $0.08)
Output: $0.004500
Optimized Cost $0.045750 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.004500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 42.5% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.004500
  • Total Cost: $0.045750 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000453
  • Tokens per dollar: 2,207,650 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, 28.24 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

Routine internal Q&A and policy lookups where speed and low cost are prioritized.

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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: 100,000
Output Tokens: 1,000
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Mistral Small 3
Mistral AI
 $0.005800 (rounded ~ $0.01) Best Value ↓ 87.3% cheaper
🥈 Grok Code Fast 1
xAI
 $0.012500 (rounded ~ $0.01) ↓ 72.7% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.015250 (rounded ~ $0.02) ↓ 66.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.019000 (rounded ~ $0.02) ↓ 58.5% cheaper
#5 Mistral Large 3
Mistral AI
 $0.029000 ↓ 36.6% cheaper
#6 Gemini 3.1 Flash
Google
 $0.030500 ↓ 33.3% cheaper
#7 Kimi K2.5
Moonshot AI
 $0.038100 (rounded ~ $0.04) ↓ 16.7% cheaper
#8 o4-mini Deep Research
OpenAI
 $0.059000 (rounded ~ $0.06) ↑ 29% more
#9 Kimi K2.6
Moonshot AI
 $0.059575 ↑ 30.2% more
#10 Claude Haiku 4.5
Anthropic
 $0.060000 ↑ 31.1% more
#11 o4-mini
OpenAI
 $0.064900 (rounded ~ $0.06) ↑ 41.9% more
#12 Grok 4.3
xAI
 $0.071250 (rounded ~ $0.07) ↑ 55.7% more
#13 Gemini 2.5 Pro
Google
 $0.078750 (rounded ~ $0.08) ↑ 72.1% more
#14 Gemini 3.5 Flash
Google
 $0.091500 (rounded ~ $0.09) ↑ 100% more
#15 GPT-5.3 Codex Spark
OpenAI
 $0.110250 ↑ 141% more
#16 GPT-5.3 Instant
OpenAI
 $0.110250 ↑ 141% more
#17 Grok 4.20 Beta
xAI
 $0.116000 (rounded ~ $0.12) ↑ 153.6% more
#18 Gemini 3.1 Pro
Google
 $0.122000 (rounded ~ $0.12) ↑ 166.7% more
#19 GPT-5.4
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 233.3% more
#20 GPT-5.4 Thinking
OpenAI
 $0.152500 (rounded ~ $0.15) ↑ 233.3% more
#21 Claude Sonnet 4.6
Anthropic
 $0.180000 ↑ 293.4% more
#22 Claude Opus 4.7
Anthropic
 $0.300000 ↑ 555.7% more
#23 Claude Opus 4.8
Anthropic
 $0.300000 ↑ 555.7% more
#24 Claude Opus 4.6
Anthropic
 $0.300000 ↑ 555.7% more
#25 GPT-5.5
OpenAI
 $0.305000 (rounded ~ $0.31) ↑ 566.7% more
#26 GPT-5.5 Instant
OpenAI
 $0.305000 (rounded ~ $0.31) ↑ 566.7% more
#27 o3 Deep Research
OpenAI
 $0.590000 ↑ 1189.6% more
#28 o3 Pro
OpenAI
 $1.180000 ↑ 2479.2% more
#29 GPT-5.2 Pro
OpenAI
 $1.323000 (rounded ~ $1.32) ↑ 2791.8% more
#30 GPT-5.2 Pro
OpenAI
 $1.323000 (rounded ~ $1.32) ↑ 2791.8% more
🏆

Mistral Small 3
Mistral AI

$0.005800 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 87.3%
🥈

Grok Code Fast 1
xAI

$0.012500 (rounded ~ $0.01)
vs GPT-5.4 mini: ↓ 72.7%
🥉

Gemini 3.1 Flash Lite
Google

$0.015250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 66.7%
#4

Gemini 2.5 Flash
Google

$0.019000 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 58.5%
#5

Mistral Large 3
Mistral AI

$0.029000
vs GPT-5.4 mini: ↓ 36.6%
#6

Gemini 3.1 Flash
Google

$0.030500
vs GPT-5.4 mini: ↓ 33.3%
#7

Kimi K2.5
Moonshot AI

$0.038100 (rounded ~ $0.04)
vs GPT-5.4 mini: ↓ 16.7%
#8

o4-mini Deep Research
OpenAI

$0.059000 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 29%
#9

Kimi K2.6
Moonshot AI

$0.059575
vs GPT-5.4 mini: ↑ 30.2%
#10

Claude Haiku 4.5
Anthropic

$0.060000
vs GPT-5.4 mini: ↑ 31.1%
#11

o4-mini
OpenAI

$0.064900 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 41.9%
#12

Grok 4.3
xAI

$0.071250 (rounded ~ $0.07)
vs GPT-5.4 mini: ↑ 55.7%
#13

Gemini 2.5 Pro
Google

$0.078750 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 72.1%
#14

Gemini 3.5 Flash
Google

$0.091500 (rounded ~ $0.09)
vs GPT-5.4 mini: ↑ 100%
#15

GPT-5.3 Codex Spark
OpenAI

$0.110250
vs GPT-5.4 mini: ↑ 141%
#16

GPT-5.3 Instant
OpenAI

$0.110250
vs GPT-5.4 mini: ↑ 141%
#17

Grok 4.20 Beta
xAI

$0.116000 (rounded ~ $0.12)
vs GPT-5.4 mini: ↑ 153.6%
#18

Gemini 3.1 Pro
Google

$0.122000 (rounded ~ $0.12)
vs GPT-5.4 mini: ↑ 166.7%
#19

GPT-5.4
OpenAI

$0.152500 (rounded ~ $0.15)
vs GPT-5.4 mini: ↑ 233.3%
#20

GPT-5.4 Thinking
OpenAI

$0.152500 (rounded ~ $0.15)
vs GPT-5.4 mini: ↑ 233.3%
#21

Claude Sonnet 4.6
Anthropic

$0.180000
vs GPT-5.4 mini: ↑ 293.4%
#22

Claude Opus 4.7
Anthropic

$0.300000
vs GPT-5.4 mini: ↑ 555.7%
#23

Claude Opus 4.8
Anthropic

$0.300000
vs GPT-5.4 mini: ↑ 555.7%
#24

Claude Opus 4.6
Anthropic

$0.300000
vs GPT-5.4 mini: ↑ 555.7%
#25

GPT-5.5
OpenAI

$0.305000 (rounded ~ $0.31)
vs GPT-5.4 mini: ↑ 566.7%
#26

GPT-5.5 Instant
OpenAI

$0.305000 (rounded ~ $0.31)
vs GPT-5.4 mini: ↑ 566.7%
#27

o3 Deep Research
OpenAI

$0.590000
vs GPT-5.4 mini: ↑ 1189.6%
#28

o3 Pro
OpenAI

$1.180000
vs GPT-5.4 mini: ↑ 2479.2%
#29

GPT-5.2 Pro
OpenAI

$1.323000 (rounded ~ $1.32)
vs GPT-5.4 mini: ↑ 2791.8%
#30

GPT-5.2 Pro
OpenAI

$1.323000 (rounded ~ $1.32)
vs GPT-5.4 mini: ↑ 2791.8%
✨ 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.

For internal teams managing a 100K-token knowledge base, cost efficiency is often the priority. GPT-5.4 Mini offers a balanced performance profile, making it a strong contender for high-frequency internal Q&A where you need reliable, fast answers without the overhead of flagship reasoning models. By utilizing this model, developers can maintain responsiveness for employee queries while keeping operational expenses predictable. The model’s context window is well-suited for retrieving and synthesizing information from mid-sized document sets, ensuring that your RAG pipeline remains fast and lean. For teams focused on deploying internal support chatbots that handle routine employee questions—such as HR policies or IT troubleshooting—this model provides excellent value. Its ability to process text efficiently means you can scale your query volume without disproportionately increasing your API spend. We recommend this for teams that prioritize low-latency and cost-effective throughput over the absolute highest-tier reasoning capabilities. Since RAG systems often require consistent, low-latency performance, this model’s lightweight footprint ensures that your infrastructure budget can be allocated to other critical components like vector database indexing and re-ranking pipelines. It is an ideal entry point for developers building their first production-grade internal Q&A system.

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.