Per-Request Cost: GPT-5.4-mini for 10K-Token Code Suggestions at 100M-Token Monthly Scale

GPT-5.4 has been replaced by GPT-5.5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current GPT-5.5 pricing →  ·  All recent pricing changes

Complete Analysis: 10,500 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
$0.001594 Total Cost
10,500 Total Tokens
21.60 seconds Processing Time
490 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

$0.000938 Input Cost
$0.000563 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
10,500Total Tokens
$0.000152Cost per 1K
6,588,235Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

21.60s Processing Time
500 Tokens/Second
180ms Time to First Token
490 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

$0.001594
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) $0.002438 Input: $0.001875
Output: $0.000563
Optimized Cost $0.001594 Input: $0.001875
Output: $0.000563
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000844 34.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.001875
  • Output Cost: $0.000563
  • Total Cost: $0.001594
  • 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: 21.60 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 490 tokens/second (temperature-adjusted)

Best Use Cases

High-throughput inline code suggestions and boilerplate generation in IDEs.

Want this applied to YOUR actual stack?

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: 10,000
Output Tokens: 500
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
$0.000175 Best Value ↓ 89% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.000531 ↓ 66.7% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.000725 ↓ 54.5% cheaper
#4 Gemini 2.5 Flash
Google
$0.000725 ↓ 54.5% cheaper
#5 Mistral Large 3
Mistral AI
$0.000875 ↓ 45.1% cheaper
#6 Gemini 3.8 Flash
Google
$0.001500 ↓ 5.9% cheaper
#7 o4-mini Deep Research
OpenAI
$0.001875 ↑ 17.6% more
#8 Claude Haiku 4.5
Anthropic
$0.002000 ↑ 25.5% more
#9 o4-mini
OpenAI
$0.002063 ↑ 29.4% more
#10 Gemini 3.1 Flash
Google
$0.002125 ↑ 33.3% more
#11 GPT-5.6 Luna
OpenAI
$0.002125 ↑ 33.3% more
#12 Gemini 3.6 Flash
Google
$0.003000 ↑ 88.2% more
#13 Gemini 3.5 Flash
Google
$0.003188 ↑ 100% more
#14 Claude Sonnet 5
Anthropic
$0.004000 ↑ 151% more
#15 GPT-5.3 Codex Spark
OpenAI
$0.004156 ↑ 160.8% more
#16 GPT-5.3 Instant
OpenAI
$0.004156 ↑ 160.8% more
#17 GPT-5.6 Terra
OpenAI
$0.005313 (rounded ~ $0.01) ↑ 233.3% more
#18 Gemini 2.5 Pro
Google
$0.005938 (rounded ~ $0.01) ↑ 272.5% more
#19 Claude Sonnet 4.6
Anthropic
$0.006000 (rounded ~ $0.01) ↑ 276.5% more
#20 Grok 4.3
xAI
$0.006500 (rounded ~ $0.01) ↑ 307.8% more
#21 Grok 4.20 Beta
xAI
$0.006500 (rounded ~ $0.01) ↑ 307.8% more
#22 Gemini 3.1 Pro
Google
$0.008500 (rounded ~ $0.01) ↑ 433.3% more
#23 Claude Opus 4.7
Anthropic
$0.010000 ↑ 527.5% more
#24 Claude Opus 5
Anthropic
$0.010000 ↑ 527.5% more
#25 Claude Opus 4.8
Anthropic
$0.010000 ↑ 527.5% more
#26 Claude Opus 4.6
Anthropic
$0.010000 ↑ 527.5% more
#27 GPT-5.4
OpenAI
$0.010625 ↑ 566.7% more
#28 GPT-5.4 Thinking
OpenAI
$0.010625 ↑ 566.7% more
#29 GPT-5.5 Instant
OpenAI
$0.010625 ↑ 566.7% more
#30 GPT-5.6 Sol
OpenAI
$0.010625 ↑ 566.7% more
#31 o3 Deep Research
OpenAI
$0.018750 (rounded ~ $0.02) ↑ 1076.5% more
#32 Claude Fable 5.1
Anthropic
$0.019063 ↑ 1096.1% more
#33 Claude Mythos 5.1
Anthropic
$0.019063 ↑ 1096.1% more
#34 Claude Fable 5
Anthropic
$0.020000 ↑ 1154.9% more
#35 Claude Mythos 5
Anthropic
$0.020000 ↑ 1154.9% more
#36 GPT-5.5
OpenAI
$0.021250 (rounded ~ $0.02) ↑ 1233.3% more
#37 o3 Pro
OpenAI
$0.037500 (rounded ~ $0.04) ↑ 2252.9% more
#38 GPT-6 Astra
OpenAI
$0.040000 ↑ 2409.8% more
#39 GPT-5.2 Pro
OpenAI
$0.049875 ↑ 3029.4% more
#40 GPT-5.2 Pro
OpenAI
$0.049875 ↑ 3029.4% more
🏆

Mistral Small 3
Mistral AI

$0.000175
vs GPT-5.4 mini: ↓ 89%
🥈

Gemini 3.1 Flash Lite
Google

$0.000531
vs GPT-5.4 mini: ↓ 66.7%
🥉

Gemini 3.5 Flash-Lite
Google

$0.000725
vs GPT-5.4 mini: ↓ 54.5%
#4

Gemini 2.5 Flash
Google

$0.000725
vs GPT-5.4 mini: ↓ 54.5%
#5

Mistral Large 3
Mistral AI

$0.000875
vs GPT-5.4 mini: ↓ 45.1%
#6

Gemini 3.8 Flash
Google

$0.001500
vs GPT-5.4 mini: ↓ 5.9%
#7

o4-mini Deep Research
OpenAI

$0.001875
vs GPT-5.4 mini: ↑ 17.6%
#8

Claude Haiku 4.5
Anthropic

$0.002000
vs GPT-5.4 mini: ↑ 25.5%
#9

o4-mini
OpenAI

$0.002063
vs GPT-5.4 mini: ↑ 29.4%
#10

Gemini 3.1 Flash
Google

$0.002125
vs GPT-5.4 mini: ↑ 33.3%
#11

GPT-5.6 Luna
OpenAI

$0.002125
vs GPT-5.4 mini: ↑ 33.3%
#12

Gemini 3.6 Flash
Google

$0.003000
vs GPT-5.4 mini: ↑ 88.2%
#13

Gemini 3.5 Flash
Google

$0.003188
vs GPT-5.4 mini: ↑ 100%
#14

Claude Sonnet 5
Anthropic

$0.004000
vs GPT-5.4 mini: ↑ 151%
#15

GPT-5.3 Codex Spark
OpenAI

$0.004156
vs GPT-5.4 mini: ↑ 160.8%
#16

GPT-5.3 Instant
OpenAI

$0.004156
vs GPT-5.4 mini: ↑ 160.8%
#17

GPT-5.6 Terra
OpenAI

$0.005313 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 233.3%
#18

Gemini 2.5 Pro
Google

$0.005938 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 272.5%
#19

Claude Sonnet 4.6
Anthropic

$0.006000 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 276.5%
#20

Grok 4.3
xAI

$0.006500 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 307.8%
#21

Grok 4.20 Beta
xAI

$0.006500 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 307.8%
#22

Gemini 3.1 Pro
Google

$0.008500 (rounded ~ $0.01)
vs GPT-5.4 mini: ↑ 433.3%
#23

Claude Opus 4.7
Anthropic

$0.010000
vs GPT-5.4 mini: ↑ 527.5%
#24

Claude Opus 5
Anthropic

$0.010000
vs GPT-5.4 mini: ↑ 527.5%
#25

Claude Opus 4.8
Anthropic

$0.010000
vs GPT-5.4 mini: ↑ 527.5%
#26

Claude Opus 4.6
Anthropic

$0.010000
vs GPT-5.4 mini: ↑ 527.5%
#27

GPT-5.4
OpenAI

$0.010625
vs GPT-5.4 mini: ↑ 566.7%
#28

GPT-5.4 Thinking
OpenAI

$0.010625
vs GPT-5.4 mini: ↑ 566.7%
#29

GPT-5.5 Instant
OpenAI

$0.010625
vs GPT-5.4 mini: ↑ 566.7%
#30

GPT-5.6 Sol
OpenAI

$0.010625
vs GPT-5.4 mini: ↑ 566.7%
#31

o3 Deep Research
OpenAI

$0.018750 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 1076.5%
#32

Claude Fable 5.1
Anthropic

$0.019063
vs GPT-5.4 mini: ↑ 1096.1%
#33

Claude Mythos 5.1
Anthropic

$0.019063
vs GPT-5.4 mini: ↑ 1096.1%
#34

Claude Fable 5
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 1154.9%
#35

Claude Mythos 5
Anthropic

$0.020000
vs GPT-5.4 mini: ↑ 1154.9%
#36

GPT-5.5
OpenAI

$0.021250 (rounded ~ $0.02)
vs GPT-5.4 mini: ↑ 1233.3%
#37

o3 Pro
OpenAI

$0.037500 (rounded ~ $0.04)
vs GPT-5.4 mini: ↑ 2252.9%
#38

GPT-6 Astra
OpenAI

$0.040000
vs GPT-5.4 mini: ↑ 2409.8%
#39

GPT-5.2 Pro
OpenAI

$0.049875
vs GPT-5.4 mini: ↑ 3029.4%
#40

GPT-5.2 Pro
OpenAI

$0.049875
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.

Optimizing Inline Code Suggestions for High-Volume IDEs

For enterprise-scale code generation, the balance between model speed and reasoning depth is critical. GPT-5.4-mini has emerged as a standout for inline code suggestions, where latency is the primary friction point for developers. Unlike larger, more compute-heavy models that can introduce perceptible delays during autocomplete, this model provides a snappy response time that maintains the developer’s flow state.

In high-volume environments where millions of suggestions are generated monthly, cost-efficiency is paramount. GPT-5.4-mini excels here by offering a compact parameter footprint without sacrificing the contextual awareness needed for multi-line code completions. It effectively manages large codebases by focusing on structural consistency and syntax accuracy, making it ideal for standard refactoring and boilerplate generation tasks.

When deploying at a scale of 100 million tokens per month, the economic advantage of using a dedicated ‘mini’ model becomes clear. However, recruiters and infra teams should note that while it is highly capable for routine coding, it may require occasional escalation to larger reasoning models for complex, multi-file architectural changes. By offloading 90% of standard suggestions to GPT-5.4-mini, engineering teams can significantly reduce overhead while maintaining developer productivity. This model’s integration into agentic workflows is particularly strong, allowing for sub-agent delegation where rapid, iterative changes are required. For platform leads, this represents a reliable, high-throughput solution that balances performance with budget discipline in production environments.

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.