Cost per 1K Tokens: GPT-5.4 for 10K Context Code IDE Suggestions

Complete Analysis: 12,000 tokens for GPT-5.4
⚡ 90% Cached

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

⚡ Caching Optimized (up to 90% savings)
$0.034750 (rounded ~ $0.03) Total Cost
12,000 Total Tokens
30.18 seconds Processing Time
400 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-5.4
OpenAIMax Context: 1,024,000 tokens
$2.5 / $15 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
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

$0.002500 Input Cost
$0.030000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
12,000Total Tokens
$0.002896Cost per 1K
345,324Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

30.18s Processing Time
420 Tokens/Second
210ms Time to First Token
400 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 OpenAI 1024000

$0.034750 (rounded ~ $0.03)
Total Cost
⚡ 90% Cached
👁️
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) $0.055000 (rounded ~ $0.06) Input: $0.025000 (rounded ~ $0.03)
Output: $0.030000
Optimized Cost $0.034750 (rounded ~ $0.03) Input: $0.025000 (rounded ~ $0.03)
Output: $0.030000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.020250 36.8% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.025000 (rounded ~ $0.03)
  • Output Cost: $0.030000
  • Total Cost: $0.034750 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.002896
  • Tokens per dollar: 345,324 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 30.18 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 400 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for IDEs needing context for code suggestionsoffering a balance of capability and cost efficiency for understanding complex code snippets.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 2,000
Cached Tokens: 90%
Rank AI Model & Provider Total Cost vs GPT-5.4
🏆 DeepSeek V4 Flash
DeepSeek
$0.000693 Best Value ↓ 98% cheaper
🥈 Ministral 3 (14B)
Mistral AI
$0.000780 ↓ 97.8% cheaper
🥉 Mistral Small 3
Mistral AI
$0.000790 ↓ 97.7% cheaper
#4 Voxtral Small 24B
Mistral AI
$0.000790 ↓ 97.7% cheaper
#5 Devstral Small 2
Mistral AI
$0.000790 ↓ 97.7% cheaper
#6 Nemotron 3 Super
Mistral AI
$0.002210 ↓ 93.6% cheaper
#7 Devstral 2
Mistral AI
$0.002560 ↓ 92.6% cheaper
#8 DeepSeek V4 Pro
DeepSeek
$0.002567 ↓ 92.6% cheaper
#9 Grok Code Fast 1
xAI
$0.003380 ↓ 90.3% cheaper
#10 Gemini 3.1 Flash Lite
Google
$0.003475 ↓ 90% cheaper
#11 Mistral Large 3
Mistral AI
$0.003950 ↓ 88.6% cheaper
#12 Gemini 2.5 Flash
Google
$0.005570 (rounded ~ $0.01) ↓ 84% cheaper
#13 Gemini 3.1 Flash
Google
$0.006950 (rounded ~ $0.01) ↓ 80% cheaper
#14 Grok 4.3
xAI
$0.007375 (rounded ~ $0.01) ↓ 78.8% cheaper
#15 Kimi K2.5
Moonshot AI
$0.007518 (rounded ~ $0.01) ↓ 78.4% cheaper
#16 o4-mini Deep Research
OpenAI
$0.009900 ↓ 71.5% cheaper
#17 Kimi K2.6
Moonshot AI
$0.010404 ↓ 70.1% cheaper
#18 GPT-5.4 mini
OpenAI
$0.010425 ↓ 70% cheaper
#19 o4-mini
OpenAI
$0.010890 ↓ 68.7% cheaper
#20 Claude Haiku 4.5
Anthropic
$0.011900 (rounded ~ $0.01) ↓ 65.8% cheaper
#21 Magistral Medium
Mistral AI
$0.013800 (rounded ~ $0.01) ↓ 60.3% cheaper
#22 Grok 4.20 Beta
xAI
$0.015800 (rounded ~ $0.02) ↓ 54.5% cheaper
#23 Gemini 3.5 Flash
Google
$0.020850 ↓ 40% cheaper
#24 Gemini 2.5 Pro
Google
$0.022375 (rounded ~ $0.02) ↓ 35.6% cheaper
#25 Gemini 3.1 Pro
Google
$0.027800 (rounded ~ $0.03) ↓ 20% cheaper
#26 GPT-5.3 Codex Spark
OpenAI
$0.031325 (rounded ~ $0.03) ↓ 9.9% cheaper
#27 GPT-5.3 Instant
OpenAI
$0.031325 (rounded ~ $0.03) ↓ 9.9% cheaper
#28 GPT-5.4 Thinking
OpenAI
$0.034750 (rounded ~ $0.03) Same price
#29 Claude Sonnet 4.6
Anthropic
$0.035700 (rounded ~ $0.04) ↑ 2.7% more
#30 Claude Opus 4.7
Anthropic
$0.059500 ↑ 71.2% more
#31 Claude Opus 4.8
Anthropic
$0.059500 ↑ 71.2% more
#32 Claude Opus 4.6
Anthropic
$0.059500 ↑ 71.2% more
#33 GPT-5.5
OpenAI
$0.069500 ↑ 100% more
#34 GPT-5.5 Instant
OpenAI
$0.069500 ↑ 100% more
#35 o3 Deep Research
OpenAI
$0.099000 (rounded ~ $0.10) ↑ 184.9% more
#36 o3 Pro
OpenAI
$0.198000 (rounded ~ $0.20) ↑ 469.8% more
#37 GPT-5.2 Pro
OpenAI
$0.375900 (rounded ~ $0.38) ↑ 981.7% more
#38 GPT-5.2 Pro
OpenAI
$0.375900 (rounded ~ $0.38) ↑ 981.7% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.000693
vs GPT-5.4: ↓ 98%
🥈

Ministral 3 (14B)
Mistral AI

$0.000780
vs GPT-5.4: ↓ 97.8%
🥉

Mistral Small 3
Mistral AI

$0.000790
vs GPT-5.4: ↓ 97.7%
#4

Voxtral Small 24B
Mistral AI

$0.000790
vs GPT-5.4: ↓ 97.7%
#5

Devstral Small 2
Mistral AI

$0.000790
vs GPT-5.4: ↓ 97.7%
#6

Nemotron 3 Super
Mistral AI

$0.002210
vs GPT-5.4: ↓ 93.6%
#7

Devstral 2
Mistral AI

$0.002560
vs GPT-5.4: ↓ 92.6%
#8

DeepSeek V4 Pro
DeepSeek

$0.002567
vs GPT-5.4: ↓ 92.6%
#9

Grok Code Fast 1
xAI

$0.003380
vs GPT-5.4: ↓ 90.3%
#10

Gemini 3.1 Flash Lite
Google

$0.003475
vs GPT-5.4: ↓ 90%
#11

Mistral Large 3
Mistral AI

$0.003950
vs GPT-5.4: ↓ 88.6%
#12

Gemini 2.5 Flash
Google

$0.005570 (rounded ~ $0.01)
vs GPT-5.4: ↓ 84%
#13

Gemini 3.1 Flash
Google

$0.006950 (rounded ~ $0.01)
vs GPT-5.4: ↓ 80%
#14

Grok 4.3
xAI

$0.007375 (rounded ~ $0.01)
vs GPT-5.4: ↓ 78.8%
#15

Kimi K2.5
Moonshot AI

$0.007518 (rounded ~ $0.01)
vs GPT-5.4: ↓ 78.4%
#16

o4-mini Deep Research
OpenAI

$0.009900
vs GPT-5.4: ↓ 71.5%
#17

Kimi K2.6
Moonshot AI

$0.010404
vs GPT-5.4: ↓ 70.1%
#18

GPT-5.4 mini
OpenAI

$0.010425
vs GPT-5.4: ↓ 70%
#19

o4-mini
OpenAI

$0.010890
vs GPT-5.4: ↓ 68.7%
#20

Claude Haiku 4.5
Anthropic

$0.011900 (rounded ~ $0.01)
vs GPT-5.4: ↓ 65.8%
#21

Magistral Medium
Mistral AI

$0.013800 (rounded ~ $0.01)
vs GPT-5.4: ↓ 60.3%
#22

Grok 4.20 Beta
xAI

$0.015800 (rounded ~ $0.02)
vs GPT-5.4: ↓ 54.5%
#23

Gemini 3.5 Flash
Google

$0.020850
vs GPT-5.4: ↓ 40%
#24

Gemini 2.5 Pro
Google

$0.022375 (rounded ~ $0.02)
vs GPT-5.4: ↓ 35.6%
#25

Gemini 3.1 Pro
Google

$0.027800 (rounded ~ $0.03)
vs GPT-5.4: ↓ 20%
#26

GPT-5.3 Codex Spark
OpenAI

$0.031325 (rounded ~ $0.03)
vs GPT-5.4: ↓ 9.9%
#27

GPT-5.3 Instant
OpenAI

$0.031325 (rounded ~ $0.03)
vs GPT-5.4: ↓ 9.9%
#28

GPT-5.4 Thinking
OpenAI

$0.034750 (rounded ~ $0.03)
vs GPT-5.4: Same
#29

Claude Sonnet 4.6
Anthropic

$0.035700 (rounded ~ $0.04)
vs GPT-5.4: ↑ 2.7%
#30

Claude Opus 4.7
Anthropic

$0.059500
vs GPT-5.4: ↑ 71.2%
#31

Claude Opus 4.8
Anthropic

$0.059500
vs GPT-5.4: ↑ 71.2%
#32

Claude Opus 4.6
Anthropic

$0.059500
vs GPT-5.4: ↑ 71.2%
#33

GPT-5.5
OpenAI

$0.069500
vs GPT-5.4: ↑ 100%
#34

GPT-5.5 Instant
OpenAI

$0.069500
vs GPT-5.4: ↑ 100%
#35

o3 Deep Research
OpenAI

$0.099000 (rounded ~ $0.10)
vs GPT-5.4: ↑ 184.9%
#36

o3 Pro
OpenAI

$0.198000 (rounded ~ $0.20)
vs GPT-5.4: ↑ 469.8%
#37

GPT-5.2 Pro
OpenAI

$0.375900 (rounded ~ $0.38)
vs GPT-5.4: ↑ 981.7%
#38

GPT-5.2 Pro
OpenAI

$0.375900 (rounded ~ $0.38)
vs GPT-5.4: ↑ 981.7%
✨ 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.

Evaluating GPT-5.4 for Code Generation IDEs

For translation agencies looking to embed advanced AI capabilities into developer tools, understanding the cost-per-token for sophisticated code generation is a key consideration. GPT-5.4 is engineered with a substantial context window, allowing it to process extensive code segments and provide more nuanced, context-aware inline suggestions. This model excels at complex reasoning, making it a strong candidate for generating syntactically correct and contextually relevant code completions that enhance developer productivity.

When selecting an AI model for code generation tasks within an IDE, it’s vital to look beyond just the token price. Evaluate the model’s aptitude for comprehending intricate programming logic, its ability to maintain coherence across longer code snippets, and its overall impact on development workflow efficiency. GPT-5.4’s advanced reasoning capabilities can lead to more accurate suggestions, reducing debugging time and accelerating the coding process.

This analysis highlights the per-token cost efficiency of GPT-5.4 for code generation. Its capacity to handle large contexts means it can support sophisticated features like intelligent code refactoring and predictive coding, offering a compelling value proposition for agencies aiming to provide cutting-edge tools to their development teams. Consider its performance alongside factors like API latency and the maturity of the OpenAI ecosystem.

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.