GPT-5.4 Cost for 500,000-Token Research Batch

GPT-5.4 has been replaced by GPT-5.5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: 515,000 tokens for GPT-5.4
⚡ 20% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 model with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$1.193750 (rounded ~ $1.19) Total Cost
515,000 Total Tokens
21 minutes, 52.20 seconds Processing Time
393 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)
20%
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

$1.193750 Total Cost
$1.000000 Input Cost
$0.168750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
515,000Total Tokens
$0.002318Cost per 1K
431,414Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

21m 52s Processing Time
420 Tokens/Second
210ms Time to First Token
393 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 🏔️ Context Cliff

$1.193750 (rounded ~ $1.19)
Total Cost
⚡ 20% 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) $1.418750 (rounded ~ $1.42) Input: $1.250000
Output: $0.168750 (rounded ~ $0.17)
Optimized Cost $1.193750 (rounded ~ $1.19) Input: $1.250000
Output: $0.168750 (rounded ~ $0.17)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 15.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 15,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.168750 (rounded ~ $0.17)
  • Total Cost: $1.193750 (rounded ~ $1.19)
  • Cost per 1K tokens: $0.002318
  • Tokens per dollar: 431,414 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: 21 minutes, 52.20 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for repetitivehigh-volume research drafting and summarization tasks.

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.

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 15,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.4
🏆 Gemini 3.1 Flash Lite
Google
 $0.031250 (rounded ~ $0.03) Best Value ↓ 97.4% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.040125 ↓ 96.6% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.040125 ↓ 96.6% cheaper
#4 Gemini 3.8 Flash
Google
 $0.090938 ↓ 92.4% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.125000 (rounded ~ $0.13) ↓ 89.5% cheaper
#6 Gemini 3.6 Flash
Google
 $0.181875 (rounded ~ $0.18) ↓ 84.8% cheaper
#7 Gemini 3.5 Flash
Google
 $0.187500 (rounded ~ $0.19) ↓ 84.3% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.242500 (rounded ~ $0.24) ↓ 79.7% cheaper
#9 Gemini 3.1 Flash
Google
 $0.250000 ↓ 79.1% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.312500 (rounded ~ $0.31) ↓ 73.8% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.363750 (rounded ~ $0.36) ↓ 69.5% cheaper
#12 Claude Opus 4.7
Anthropic
 $0.606250 (rounded ~ $0.61) ↓ 49.2% cheaper
#13 Claude Opus 5
Anthropic
 $0.606250 (rounded ~ $0.61) ↓ 49.2% cheaper
#14 Claude Opus 4.8
Anthropic
 $0.606250 (rounded ~ $0.61) ↓ 49.2% cheaper
#15 Claude Opus 4.6
Anthropic
 $0.606250 (rounded ~ $0.61) ↓ 49.2% cheaper
#16 Gemini 2.5 Pro
Google
 $0.625000 (rounded ~ $0.63) ↓ 47.6% cheaper
#17 GPT-5.6 Sol
OpenAI
 $0.625000 (rounded ~ $0.63) ↓ 47.6% cheaper
#18 Grok 4.3
xAI
 $0.880000 ↓ 26.3% cheaper
#19 Grok 4.20 Beta
xAI
 $0.880000 ↓ 26.3% cheaper
#20 Gemini 3.1 Pro
Google
 $0.955000 (rounded ~ $0.96) ↓ 20% cheaper
#21 GPT-5.4 Thinking
OpenAI
 $1.193750 (rounded ~ $1.19) Same price
#22 Claude Fable 5.1
Anthropic
 $1.193750 (rounded ~ $1.19) Same price
#23 Claude Mythos 5.1
Anthropic
 $1.193750 (rounded ~ $1.19) Same price
#24 Claude Fable 5
Anthropic
 $1.212500 (rounded ~ $1.21) ↑ 1.6% more
#25 Claude Mythos 5
Anthropic
 $1.212500 (rounded ~ $1.21) ↑ 1.6% more
#26 GPT-5.5
OpenAI
 $2.387500 (rounded ~ $2.39) ↑ 100% more
#27 GPT-6 Astra
OpenAI
 $4.850000 ↑ 306.3% more
#28 GPT-6 Astra
OpenAI
 $4.850000 ↑ 306.3% more
🏆

Gemini 3.1 Flash Lite
Google

$0.031250 (rounded ~ $0.03)
vs GPT-5.4: ↓ 97.4%
🥈

Gemini 3.5 Flash-Lite
Google

$0.040125
vs GPT-5.4: ↓ 96.6%
🥉

Gemini 2.5 Flash
Google

$0.040125
vs GPT-5.4: ↓ 96.6%
#4

Gemini 3.8 Flash
Google

$0.090938
vs GPT-5.4: ↓ 92.4%
#5

GPT-5.6 Luna
OpenAI

$0.125000 (rounded ~ $0.13)
vs GPT-5.4: ↓ 89.5%
#6

Gemini 3.6 Flash
Google

$0.181875 (rounded ~ $0.18)
vs GPT-5.4: ↓ 84.8%
#7

Gemini 3.5 Flash
Google

$0.187500 (rounded ~ $0.19)
vs GPT-5.4: ↓ 84.3%
#8

Claude Sonnet 5
Anthropic

$0.242500 (rounded ~ $0.24)
vs GPT-5.4: ↓ 79.7%
#9

Gemini 3.1 Flash
Google

$0.250000
vs GPT-5.4: ↓ 79.1%
#10

GPT-5.6 Terra
OpenAI

$0.312500 (rounded ~ $0.31)
vs GPT-5.4: ↓ 73.8%
#11

Claude Sonnet 4.6
Anthropic

$0.363750 (rounded ~ $0.36)
vs GPT-5.4: ↓ 69.5%
#12

Claude Opus 4.7
Anthropic

$0.606250 (rounded ~ $0.61)
vs GPT-5.4: ↓ 49.2%
#13

Claude Opus 5
Anthropic

$0.606250 (rounded ~ $0.61)
vs GPT-5.4: ↓ 49.2%
#14

Claude Opus 4.8
Anthropic

$0.606250 (rounded ~ $0.61)
vs GPT-5.4: ↓ 49.2%
#15

Claude Opus 4.6
Anthropic

$0.606250 (rounded ~ $0.61)
vs GPT-5.4: ↓ 49.2%
#16

Gemini 2.5 Pro
Google

$0.625000 (rounded ~ $0.63)
vs GPT-5.4: ↓ 47.6%
#17

GPT-5.6 Sol
OpenAI

$0.625000 (rounded ~ $0.63)
vs GPT-5.4: ↓ 47.6%
#18

Grok 4.3
xAI

$0.880000
vs GPT-5.4: ↓ 26.3%
#19

Grok 4.20 Beta
xAI

$0.880000
vs GPT-5.4: ↓ 26.3%
#20

Gemini 3.1 Pro
Google

$0.955000 (rounded ~ $0.96)
vs GPT-5.4: ↓ 20%
#21

GPT-5.4 Thinking
OpenAI

$1.193750 (rounded ~ $1.19)
vs GPT-5.4: Same
#22

Claude Fable 5.1
Anthropic

$1.193750 (rounded ~ $1.19)
vs GPT-5.4: Same
#23

Claude Mythos 5.1
Anthropic

$1.193750 (rounded ~ $1.19)
vs GPT-5.4: Same
#24

Claude Fable 5
Anthropic

$1.212500 (rounded ~ $1.21)
vs GPT-5.4: ↑ 1.6%
#25

Claude Mythos 5
Anthropic

$1.212500 (rounded ~ $1.21)
vs GPT-5.4: ↑ 1.6%
#26

GPT-5.5
OpenAI

$2.387500 (rounded ~ $2.39)
vs GPT-5.4: ↑ 100%
#27

GPT-6 Astra
OpenAI

$4.850000
vs GPT-5.4: ↑ 306.3%
#28

GPT-6 Astra
OpenAI

$4.850000
vs GPT-5.4: ↑ 306.3%
✨ 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 High-Volume Research Workflows

For solo founders and researchers managing large-scale literature reviews, the primary challenge is maintaining coherence across extensive document sets. GPT-5.4 offers a balanced approach for these 500,000-token batches, providing robust reasoning capabilities that handle complex synthesis without the overhead of more specialized, compute-heavy reasoning models.

When drafting long-form content, the ability to maintain context is vital. GPT-5.4 excels in tasks requiring structural adherence and factual grounding, making it a reliable choice for drafting literature reviews where maintaining the logical flow of academic arguments is paramount. Its architecture is particularly well-suited for summarizing dense, multi-source research materials into coherent, actionable summaries.

When to choose this model:

  • For high-volume drafting tasks where consistent output structure is more important than extreme-depth reasoning.
  • When balancing budget constraints with the need for a frontier-class model capable of handling large input contexts (up to 1M tokens) efficiently.

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 currently costs $2.50 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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