Cheapest Model for 350K-Token Product Description Generation

Complete Analysis: 350,800 tokens for GPT-5.4 mini
⚡ 30% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-5.4 mini model with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.048806 (rounded ~ $0.05) Total Cost
350,800 Total Tokens
12 minutes, 30.89 seconds Processing Time
467 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)
30%
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

$0.045938 Input Cost
$0.000900 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
350,800Total Tokens
$0.000139Cost per 1K
7,187,604Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

12m 30s Processing Time
500 Tokens/Second
180ms Time to First Token
467 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

$0.048806 (rounded ~ $0.05)
Total Cost
⚡ 30% Cached 📊 Batch API
👁️
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) $0.066525 (rounded ~ $0.07) Input: $0.065625 (rounded ~ $0.07)
Output: $0.000900
Optimized Cost $0.048806 (rounded ~ $0.05) Input: $0.065625 (rounded ~ $0.07)
Output: $0.000900
Unit: $0.000000
Fees: $0.000000
Total Savings $0.017719 (rounded ~ $0.02) 26.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 350,000 input tokens and 800 output tokens:

  • Input Cost: $0.065625 (rounded ~ $0.07)
  • Output Cost: $0.000900
  • Total Cost: $0.048806 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000139
  • Tokens per dollar: 7,187,604 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: 12 minutes, 30.89 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 467 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for bulkrepetitive SEO content generation and standard product attribute extraction where efficiency and low per-token cost are the priorities.

Want this applied to YOUR actual stack?

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✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 mini
📋 Active Input Parameters
Input Tokens: 350,000
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Rank AI Model & Provider Total Cost vs GPT-5.4 mini
🏆 Gemini 3.1 Flash Lite
Google
$0.016269 (rounded ~ $0.02) Best Value ↓ 66.7% cheaper
🥈 Nemotron 3 Super
NVIDIA
$0.019327 ↓ 60.4% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.019663 ↓ 59.7% cheaper
#4 Gemini 2.5 Flash
Google
$0.019663 ↓ 59.7% cheaper
#5 Gemini 3.8 Flash
Google
$0.048656 (rounded ~ $0.05) ↓ 0.3% cheaper
#6 Claude Haiku 4.5
Anthropic
$0.064875 (rounded ~ $0.06) ↑ 32.9% more
#7 GPT-5.6 Luna
OpenAI
$0.065075 (rounded ~ $0.07) ↑ 33.3% more
#8 Gemini 3.6 Flash
Google
$0.097313 (rounded ~ $0.10) ↑ 99.4% more
#9 Gemini 3.5 Flash
Google
$0.097613 (rounded ~ $0.10) ↑ 100% more
#10 Claude Sonnet 5
Anthropic
$0.129750 ↑ 165.8% more
#11 Gemini 3.1 Flash
Google
$0.130150 ↑ 166.7% more
#12 GPT-5.6 Terra
OpenAI
$0.162688 (rounded ~ $0.16) ↑ 233.3% more
#13 Claude Sonnet 4.6
Anthropic
$0.194625 (rounded ~ $0.19) ↑ 298.8% more
#14 Claude Opus 4.7
Anthropic
$0.324375 (rounded ~ $0.32) ↑ 564.6% more
#15 Claude Opus 5
Anthropic
$0.324375 (rounded ~ $0.32) ↑ 564.6% more
#16 Claude Opus 4.8
Anthropic
$0.324375 (rounded ~ $0.32) ↑ 564.6% more
#17 Claude Opus 4.6
Anthropic
$0.324375 (rounded ~ $0.32) ↑ 564.6% more
#18 Gemini 2.5 Pro
Google
$0.325375 (rounded ~ $0.33) ↑ 566.7% more
#19 GPT-5.5 Instant
OpenAI
$0.325375 (rounded ~ $0.33) ↑ 566.7% more
#20 GPT-5.6 Sol
OpenAI
$0.325375 (rounded ~ $0.33) ↑ 566.7% more
#21 Grok 4.3
xAI
$0.514200 (rounded ~ $0.51) ↑ 953.6% more
#22 Grok 4.20 Beta
xAI
$0.514200 (rounded ~ $0.51) ↑ 953.6% more
#23 Gemini 3.1 Pro
Google
$0.518200 (rounded ~ $0.52) ↑ 961.7% more
#24 Claude Fable 5.1
Anthropic
$0.629063 ↑ 1188.9% more
#25 Claude Mythos 5.1
Anthropic
$0.629063 ↑ 1188.9% more
#26 GPT-5.4
OpenAI
$0.647750 (rounded ~ $0.65) ↑ 1227.2% more
#27 GPT-5.4 Thinking
OpenAI
$0.647750 (rounded ~ $0.65) ↑ 1227.2% more
#28 Claude Fable 5
Anthropic
$0.648750 (rounded ~ $0.65) ↑ 1229.2% more
#29 Claude Mythos 5
Anthropic
$0.648750 (rounded ~ $0.65) ↑ 1229.2% more
#30 GPT-5.5
OpenAI
$1.295500 (rounded ~ $1.30) ↑ 2554.4% more
#31 GPT-6 Astra
OpenAI
$2.595000 (rounded ~ $2.60) ↑ 5216.9% more
#32 GPT-6 Astra
OpenAI
$2.595000 (rounded ~ $2.60) ↑ 5216.9% more
🏆

Gemini 3.1 Flash Lite
Google

$0.016269 (rounded ~ $0.02)
vs GPT-5.4 mini: ↓ 66.7%
🥈

Nemotron 3 Super
NVIDIA

$0.019327
vs GPT-5.4 mini: ↓ 60.4%
🥉

Gemini 3.5 Flash-Lite
Google

$0.019663
vs GPT-5.4 mini: ↓ 59.7%
#4

Gemini 2.5 Flash
Google

$0.019663
vs GPT-5.4 mini: ↓ 59.7%
#5

Gemini 3.8 Flash
Google

$0.048656 (rounded ~ $0.05)
vs GPT-5.4 mini: ↓ 0.3%
#6

Claude Haiku 4.5
Anthropic

$0.064875 (rounded ~ $0.06)
vs GPT-5.4 mini: ↑ 32.9%
#7

GPT-5.6 Luna
OpenAI

$0.065075 (rounded ~ $0.07)
vs GPT-5.4 mini: ↑ 33.3%
#8

Gemini 3.6 Flash
Google

$0.097313 (rounded ~ $0.10)
vs GPT-5.4 mini: ↑ 99.4%
#9

Gemini 3.5 Flash
Google

$0.097613 (rounded ~ $0.10)
vs GPT-5.4 mini: ↑ 100%
#10

Claude Sonnet 5
Anthropic

$0.129750
vs GPT-5.4 mini: ↑ 165.8%
#11

Gemini 3.1 Flash
Google

$0.130150
vs GPT-5.4 mini: ↑ 166.7%
#12

GPT-5.6 Terra
OpenAI

$0.162688 (rounded ~ $0.16)
vs GPT-5.4 mini: ↑ 233.3%
#13

Claude Sonnet 4.6
Anthropic

$0.194625 (rounded ~ $0.19)
vs GPT-5.4 mini: ↑ 298.8%
#14

Claude Opus 4.7
Anthropic

$0.324375 (rounded ~ $0.32)
vs GPT-5.4 mini: ↑ 564.6%
#15

Claude Opus 5
Anthropic

$0.324375 (rounded ~ $0.32)
vs GPT-5.4 mini: ↑ 564.6%
#16

Claude Opus 4.8
Anthropic

$0.324375 (rounded ~ $0.32)
vs GPT-5.4 mini: ↑ 564.6%
#17

Claude Opus 4.6
Anthropic

$0.324375 (rounded ~ $0.32)
vs GPT-5.4 mini: ↑ 564.6%
#18

Gemini 2.5 Pro
Google

$0.325375 (rounded ~ $0.33)
vs GPT-5.4 mini: ↑ 566.7%
#19

GPT-5.5 Instant
OpenAI

$0.325375 (rounded ~ $0.33)
vs GPT-5.4 mini: ↑ 566.7%
#20

GPT-5.6 Sol
OpenAI

$0.325375 (rounded ~ $0.33)
vs GPT-5.4 mini: ↑ 566.7%
#21

Grok 4.3
xAI

$0.514200 (rounded ~ $0.51)
vs GPT-5.4 mini: ↑ 953.6%
#22

Grok 4.20 Beta
xAI

$0.514200 (rounded ~ $0.51)
vs GPT-5.4 mini: ↑ 953.6%
#23

Gemini 3.1 Pro
Google

$0.518200 (rounded ~ $0.52)
vs GPT-5.4 mini: ↑ 961.7%
#24

Claude Fable 5.1
Anthropic

$0.629063
vs GPT-5.4 mini: ↑ 1188.9%
#25

Claude Mythos 5.1
Anthropic

$0.629063
vs GPT-5.4 mini: ↑ 1188.9%
#26

GPT-5.4
OpenAI

$0.647750 (rounded ~ $0.65)
vs GPT-5.4 mini: ↑ 1227.2%
#27

GPT-5.4 Thinking
OpenAI

$0.647750 (rounded ~ $0.65)
vs GPT-5.4 mini: ↑ 1227.2%
#28

Claude Fable 5
Anthropic

$0.648750 (rounded ~ $0.65)
vs GPT-5.4 mini: ↑ 1229.2%
#29

Claude Mythos 5
Anthropic

$0.648750 (rounded ~ $0.65)
vs GPT-5.4 mini: ↑ 1229.2%
#30

GPT-5.5
OpenAI

$1.295500 (rounded ~ $1.30)
vs GPT-5.4 mini: ↑ 2554.4%
#31

GPT-6 Astra
OpenAI

$2.595000 (rounded ~ $2.60)
vs GPT-5.4 mini: ↑ 5216.9%
#32

GPT-6 Astra
OpenAI

$2.595000 (rounded ~ $2.60)
vs GPT-5.4 mini: ↑ 5216.9%
✨ 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.

As e-commerce operations scale, the cost of generating product descriptions can quickly become a significant overhead. For store owners looking to optimize their margins without sacrificing basic SEO requirements, GPT-5.4 mini has emerged as a go-to solution. It provides a strategic balance for standard, routine content tasks where the complexity of the output is lower, but the requirement for reliability and speed is constant.

GPT-5.4 mini is specifically engineered for high-volume, straightforward reasoning tasks. Unlike frontier-tier models that may be overkill for generating standard product specs, tags, or SEO metadata, this model is lean. It manages to deliver functional, high-quality descriptions that meet search engine requirements while operating at an efficiency level that keeps API bills manageable. It is particularly effective for businesses that rely on template-based descriptions or need to process large, repetitive batches of inventory data.

When planning a 350K-token run, the value proposition is clear: you are paying for the performance you actually need rather than the intelligence headroom you don’t. By leveraging GPT-5.4 mini for these baseline tasks, you can allocate your larger budget toward high-impact marketing copy or complex brand storytelling that actually requires the reasoning depth of frontier-class models. For the typical indie hacker or small-to-mid-sized store owner, this model represents the sweet spot between operational sustainability and production-ready output quality.

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.