Volume-Led: GPT-5.4 mini Cost for 1 Million Meeting Summaries Monthly

Complete Analysis: 21,000 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
$0.003188 Total Cost
21,000 Total Tokens
44.28 seconds Processing Time
476 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

$0.003188 Total Cost
$0.001875 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
21,000Total Tokens
$0.000152Cost per 1K
6,588,235Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

44.28s Processing Time
500 Tokens/Second
180ms Time to First Token
476 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

$0.003188
Total Cost
⚡ 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) $0.004875 Input: $0.003750
Output: $0.001125
Optimized Cost $0.003188 Input: $0.003750
Output: $0.001125
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001688 34.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 20,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.003750
  • Output Cost: $0.001125
  • Total Cost: $0.003188
  • Cost per 1K tokens: $0.000152
  • Tokens per dollar: 6,588,235 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: 44.28 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second (temperature-adjusted)

Best Use Cases

High-volumeefficient summarization of long meeting transcripts where cost-per-call and reasoning consistency are the main priorities.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 20,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Mistral Small 3
Mistral AI
 $0.000350 Best Value ↓ 89% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.001063 ↓ 66.7% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.001450 ↓ 54.5% cheaper
#4 Gemini 2.5 Flash
Google
 $0.001450 ↓ 54.5% cheaper
#5 Mistral Large 3
Mistral AI
 $0.001750 ↓ 45.1% cheaper
#6 Gemini 3.8 Flash
Google
 $0.003000 ↓ 5.9% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.003750 ↑ 17.6% more
#8 Claude Haiku 4.5
Anthropic
 $0.004000 ↑ 25.5% more
#9 o4-mini
OpenAI
 $0.004125 ↑ 29.4% more
#10 Gemini 3.1 Flash
Google
 $0.004250 ↑ 33.3% more
#11 GPT-5.6 Luna
OpenAI
 $0.004250 ↑ 33.3% more
#12 Gemini 3.6 Flash
Google
 $0.006000 (rounded ~ $0.01) ↑ 88.2% more
#13 Gemini 3.5 Flash
Google
 $0.006375 (rounded ~ $0.01) ↑ 100% more
#14 Claude Sonnet 5
Anthropic
 $0.008000 (rounded ~ $0.01) ↑ 151% more
#15 GPT-5.3 Codex Spark
OpenAI
 $0.008313 (rounded ~ $0.01) ↑ 160.8% more
#16 GPT-5.3 Instant
OpenAI
 $0.008313 (rounded ~ $0.01) ↑ 160.8% more
#17 GPT-5.6 Terra
OpenAI
 $0.010625 ↑ 233.3% more
#18 Gemini 2.5 Pro
Google
 $0.011875 (rounded ~ $0.01) ↑ 272.5% more
#19 Claude Sonnet 4.6
Anthropic
 $0.012000 (rounded ~ $0.01) ↑ 276.5% more
#20 Grok 4.3
xAI
 $0.013000 (rounded ~ $0.01) ↑ 307.8% more
#21 Grok 4.20 Beta
xAI
 $0.013000 (rounded ~ $0.01) ↑ 307.8% more
#22 Gemini 3.1 Pro
Google
 $0.017000 (rounded ~ $0.02) ↑ 433.3% more
#23 Claude Opus 4.7
Anthropic
 $0.020000 ↑ 527.5% more
#24 Claude Opus 5
Anthropic
 $0.020000 ↑ 527.5% more
#25 Claude Opus 4.8
Anthropic
 $0.020000 ↑ 527.5% more
#26 Claude Opus 4.6
Anthropic
 $0.020000 ↑ 527.5% more
#27 GPT-5.4
OpenAI
 $0.021250 (rounded ~ $0.02) ↑ 566.7% more
#28 GPT-5.4 Thinking
OpenAI
 $0.021250 (rounded ~ $0.02) ↑ 566.7% more
#29 GPT-5.5 Instant
OpenAI
 $0.021250 (rounded ~ $0.02) ↑ 566.7% more
#30 GPT-5.6 Sol
OpenAI
 $0.021250 (rounded ~ $0.02) ↑ 566.7% more
#31 o3 Deep Research
OpenAI
 $0.037500 (rounded ~ $0.04) ↑ 1076.5% more
#32 Claude Fable 5.1
Anthropic
 $0.038125 (rounded ~ $0.04) ↑ 1096.1% more
#33 Claude Mythos 5.1
Anthropic
 $0.038125 (rounded ~ $0.04) ↑ 1096.1% more
#34 Claude Fable 5
Anthropic
 $0.040000 ↑ 1154.9% more
#35 Claude Mythos 5
Anthropic
 $0.040000 ↑ 1154.9% more
#36 GPT-5.5
OpenAI
 $0.042500 (rounded ~ $0.04) ↑ 1233.3% more
#37 o3 Pro
OpenAI
 $0.075000 (rounded ~ $0.08) ↑ 2252.9% more
#38 GPT-6 Astra
OpenAI
 $0.080000 ↑ 2409.8% more
#39 GPT-5.2 Pro
OpenAI
 $0.099750 ↑ 3029.4% more
#40 GPT-5.2 Pro
OpenAI
 $0.099750 ↑ 3029.4% more
🏆

Mistral Small 3
Mistral AI

$0.000350
vs GPT-5.4 mini: ↓ 89%
🥈

Gemini 3.1 Flash Lite
Google

$0.001063
vs GPT-5.4 mini: ↓ 66.7%
🥉

Gemini 3.5 Flash-Lite
Google

$0.001450
vs GPT-5.4 mini: ↓ 54.5%
#4

Gemini 2.5 Flash
Google

$0.001450
vs GPT-5.4 mini: ↓ 54.5%
#5

Mistral Large 3
Mistral AI

$0.001750
vs GPT-5.4 mini: ↓ 45.1%
#6

Gemini 3.8 Flash
Google

$0.003000
vs GPT-5.4 mini: ↓ 5.9%
#7

o4-mini Deep Research
OpenAI

$0.003750
vs GPT-5.4 mini: ↑ 17.6%
#8

Claude Haiku 4.5
Anthropic

$0.004000
vs GPT-5.4 mini: ↑ 25.5%
#9

o4-mini
OpenAI

$0.004125
vs GPT-5.4 mini: ↑ 29.4%
#10

Gemini 3.1 Flash
Google

$0.004250
vs GPT-5.4 mini: ↑ 33.3%
#11

GPT-5.6 Luna
OpenAI

$0.004250
vs GPT-5.4 mini: ↑ 33.3%
#12

Gemini 3.6 Flash
Google

$0.006000 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 88.2%
#13

Gemini 3.5 Flash
Google

$0.006375 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 100%
#14

Claude Sonnet 5
Anthropic

$0.008000 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 151%
#15

GPT-5.3 Codex Spark
OpenAI

$0.008313 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 160.8%
#16

GPT-5.3 Instant
OpenAI

$0.008313 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 160.8%
#17

GPT-5.6 Terra
OpenAI

$0.010625
vs GPT-5.4 mini: ↑ 233.3%
#18

Gemini 2.5 Pro
Google

$0.011875 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 272.5%
#19

Claude Sonnet 4.6
Anthropic

$0.012000 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 276.5%
#20

Grok 4.3
xAI

$0.013000 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 307.8%
#21

Grok 4.20 Beta
xAI

$0.013000 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 307.8%
#22

Gemini 3.1 Pro
Google

$0.017000 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 433.3%
#23

Claude Opus 4.7
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 527.5%
#24

Claude Opus 5
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 527.5%
#25

Claude Opus 4.8
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 527.5%
#26

Claude Opus 4.6
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 527.5%
#27

GPT-5.4
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 566.7%
#28

GPT-5.4 Thinking
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 566.7%
#29

GPT-5.5 Instant
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 566.7%
#30

GPT-5.6 Sol
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 566.7%
#31

o3 Deep Research
OpenAI

$0.037500 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 1076.5%
#32

Claude Fable 5.1
Anthropic

$0.038125 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 1096.1%
#33

Claude Mythos 5.1
Anthropic

$0.038125 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 1096.1%
#34

Claude Fable 5
Anthropic

$0.040000
vs GPT-5.4 mini: ↑ 1154.9%
#35

Claude Mythos 5
Anthropic

$0.040000
vs GPT-5.4 mini: ↑ 1154.9%
#36

GPT-5.5
OpenAI

$0.042500 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 1233.3%
#37

o3 Pro
OpenAI

$0.075000 (rounded ~ $0.08)
vs GPT-5.4 mini: ↑ 2252.9%
#38

GPT-6 Astra
OpenAI

$0.080000
vs GPT-5.4 mini: ↑ 2409.8%
#39

GPT-5.2 Pro
OpenAI

$0.099750
vs GPT-5.4 mini: ↑ 3029.4%
#40

GPT-5.2 Pro
OpenAI

$0.099750
vs GPT-5.4 mini: ↑ 3029.4%
✨ 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.

Scaling Intelligent Summarization

As EdTech platforms scale to support millions of students, the economics of AI-driven post-meeting summarization become a central engineering challenge. Generating concise, accurate, and age-appropriate summaries for 1 million meetings monthly requires a model that strikes an optimal balance between reasoning capabilities and cost-efficiency.

GPT-5.4 mini is positioned as a high-performance workhorse for structured extraction tasks. For meeting summaries, the primary requirement is the ability to parse long transcripts, identify key learning outcomes, and distill actionable next steps without the overhead associated with larger, more expensive frontier models. Its reasoning capabilities are specifically tuned to follow precise instructions, ensuring that summaries remain consistent, safe, and aligned with pedagogical standards across diverse subjects.

From an architectural perspective, utilizing a compact yet capable model allows for high-concurrency processing, which is essential for end-of-class workflows when thousands of sessions conclude simultaneously. By offloading summarization to GPT-5.4 mini, teams can preserve higher-tier models for complex student-AI interactions, such as personalized tutoring or adaptive feedback loops. This tiered strategy not only optimizes your budget but also minimizes latency, providing users with instant summaries immediately following their sessions. For product managers evaluating deployment, the key success factor is defining clear system prompts and few-shot examples that leverage the model’s strengths in structured output generation, ensuring that meeting notes remain a high-value, low-friction asset for every user.

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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