Claude Sonnet 5.5 Pricing for Ecommerce Product Descriptions at 390K Tokens

Complete Analysis: 630,000 tokens for Claude Sonnet 5.5
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for Anthropic's Claude Sonnet 5.5 model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.702375 (rounded ~ $0.70) Total Cost
630,000 Total Tokens
37 minutes, 27.18 seconds Processing Time
280 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Claude Sonnet 5.5

AnthropicMax Context: 1,000,000 tokens
$2 / $10 per 1M tokens
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

$0.097500 Input Cost
$0.600000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
630,000Total Tokens
$0.001115Cost per 1K
896,957Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

37m 27s Processing Time
300 Tokens/Second
300ms Time to First Token
280 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


📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

Claude Sonnet 5.5 Anthropic 1000000

$0.702375 (rounded ~ $0.70)
Total Cost
⚡ 50% 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) $0.795000 (rounded ~ $0.80) Input: $0.195000 (rounded ~ $0.20)
Output: $0.600000
Optimized Cost $0.702375 (rounded ~ $0.70) Input: $0.195000 (rounded ~ $0.20)
Output: $0.600000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.092625 (rounded ~ $0.09) 11.7% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 390,000 input tokens and 240,000 output tokens:

  • Input Cost: $0.195000 (rounded ~ $0.20)
  • Output Cost: $0.600000
  • Total Cost: $0.702375 (rounded ~ $0.70)
  • Cost per 1K tokens: $0.001115
  • Tokens per dollar: 896,957 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 300ms time to first token:

  • Processing Time: 37 minutes, 27.18 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for generating high-qualitybrand-aligned ecommerce content where structured output and long-term consistency are top priorities.

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✨ Market Recommendations AI Model Registry

← Back to Claude Sonnet 5.5
📋 Active Input Parameters
Input Tokens: 390,000
Output Tokens: 240,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5
🏆 Nemotron 3 Super
NVIDIA
$0.065288 (rounded ~ $0.07) Best Value ↓ 90.7% cheaper
🥈 GPT-5.6 Luna
OpenAI
$0.082725 (rounded ~ $0.08) ↓ 88.2% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.103406 (rounded ~ $0.10) ↓ 85.3% cheaper
#4 GPT-6 Luna
OpenAI
$0.111450 (rounded ~ $0.11) ↓ 84.1% cheaper
#5 Gemini 3.5 Flash-Lite
Google
$0.166088 (rounded ~ $0.17) ↓ 76.4% cheaper
#6 Gemini 2.5 Flash
Google
$0.166088 (rounded ~ $0.17) ↓ 76.4% cheaper
#7 Gemini 3.8 Flash
Google
$0.265219 (rounded ~ $0.27) ↓ 62.2% cheaper
#8 Gemini 3.6 Flash
Google
$0.265219 (rounded ~ $0.27) ↓ 62.2% cheaper
#9 Mistral Large 4
Mistral AI
$0.323730 (rounded ~ $0.32) ↓ 53.9% cheaper
#10 Claude Haiku 5.5
Anthropic
$0.353625 (rounded ~ $0.35) ↓ 49.7% cheaper
#11 Claude Sonnet 5
Anthropic
$0.707250 (rounded ~ $0.71) ↑ 0.7% more
#12 Gemini 4 Argon
Google
$0.707250 (rounded ~ $0.71) ↑ 0.7% more
#13 Gemini 3.1 Flash
Google
$0.827250 (rounded ~ $0.83) ↑ 17.8% more
#14 GPT-5.6 Terra
OpenAI
$0.827250 (rounded ~ $0.83) ↑ 17.8% more
#15 Claude Sonnet 4.6
Anthropic
$1.060875 ↑ 51% more
#16 Grok 4.3
xAI
$1.389000 ↑ 97.8% more
#17 Grok 4.20 Beta
xAI
$1.389000 ↑ 97.8% more
#18 Claude Opus 5.5
Anthropic
$1.404750 (rounded ~ $1.40) ↑ 100% more
#19 GPT-5.6 Sol
OpenAI
$1.414500 (rounded ~ $1.41) ↑ 101.4% more
#20 Claude Opus 4.7
Anthropic
$1.768125 (rounded ~ $1.77) ↑ 151.7% more
#21 Claude Opus 5
Anthropic
$1.768125 (rounded ~ $1.77) ↑ 151.7% more
#22 Claude Opus 4.8
Anthropic
$1.768125 (rounded ~ $1.77) ↑ 151.7% more
#23 Claude Opus 4.6
Anthropic
$1.768125 (rounded ~ $1.77) ↑ 151.7% more
#24 Gemini 2.5 Pro
Google
$2.068125 (rounded ~ $2.07) ↑ 194.4% more
#25 GPT-6.1 Sol
OpenAI
$2.229000 (rounded ~ $2.23) ↑ 217.4% more
#26 GPT-6 Sol
OpenAI
$2.229000 (rounded ~ $2.23) ↑ 217.4% more
#27 Gemini 3.1 Pro
Google
$2.589000 ↑ 268.6% more
#28 GPT-5.4
OpenAI
$3.236250 (rounded ~ $3.24) ↑ 360.8% more
#29 GPT-5.4 Thinking
OpenAI
$3.236250 (rounded ~ $3.24) ↑ 360.8% more
#30 Claude Fable 5.1
Anthropic
$3.499688 ↑ 398.3% more
#31 Claude Mythos 5.1
Anthropic
$3.499688 ↑ 398.3% more
#32 Claude Fable 5
Anthropic
$3.536250 (rounded ~ $3.54) ↑ 403.5% more
#33 Claude Mythos 5
Anthropic
$3.536250 (rounded ~ $3.54) ↑ 403.5% more
#34 GPT-5.5
OpenAI
$6.472500 (rounded ~ $6.47) ↑ 821.5% more
#35 GPT-6 Astra
OpenAI
$14.145000 (rounded ~ $14.15) ↑ 1913.9% more
#36 GPT-6 Astra
OpenAI
$14.145000 (rounded ~ $14.15) ↑ 1913.9% more
🏆

Nemotron 3 Super
NVIDIA

$0.065288 (rounded ~ $0.07)
vs Claude Sonnet 5.5: ↓ 90.7%
🥈

GPT-5.6 Luna
OpenAI

$0.082725 (rounded ~ $0.08)
vs Claude Sonnet 5.5: ↓ 88.2%
🥉

Gemini 3.1 Flash Lite
Google

$0.103406 (rounded ~ $0.10)
vs Claude Sonnet 5.5: ↓ 85.3%
#4

GPT-6 Luna
OpenAI

$0.111450 (rounded ~ $0.11)
vs Claude Sonnet 5.5: ↓ 84.1%
#5

Gemini 3.5 Flash-Lite
Google

$0.166088 (rounded ~ $0.17)
vs Claude Sonnet 5.5: ↓ 76.4%
#6

Gemini 2.5 Flash
Google

$0.166088 (rounded ~ $0.17)
vs Claude Sonnet 5.5: ↓ 76.4%
#7

Gemini 3.8 Flash
Google

$0.265219 (rounded ~ $0.27)
vs Claude Sonnet 5.5: ↓ 62.2%
#8

Gemini 3.6 Flash
Google

$0.265219 (rounded ~ $0.27)
vs Claude Sonnet 5.5: ↓ 62.2%
#9

Mistral Large 4
Mistral AI

$0.323730 (rounded ~ $0.32)
vs Claude Sonnet 5.5: ↓ 53.9%
#10

Claude Haiku 5.5
Anthropic

$0.353625 (rounded ~ $0.35)
vs Claude Sonnet 5.5: ↓ 49.7%
#11

Claude Sonnet 5
Anthropic

$0.707250 (rounded ~ $0.71)
vs Claude Sonnet 5.5: ↑ 0.7%
#12

Gemini 4 Argon
Google

$0.707250 (rounded ~ $0.71)
vs Claude Sonnet 5.5: ↑ 0.7%
#13

Gemini 3.1 Flash
Google

$0.827250 (rounded ~ $0.83)
vs Claude Sonnet 5.5: ↑ 17.8%
#14

GPT-5.6 Terra
OpenAI

$0.827250 (rounded ~ $0.83)
vs Claude Sonnet 5.5: ↑ 17.8%
#15

Claude Sonnet 4.6
Anthropic

$1.060875
vs Claude Sonnet 5.5: ↑ 51%
#16

Grok 4.3
xAI

$1.389000
vs Claude Sonnet 5.5: ↑ 97.8%
#17

Grok 4.20 Beta
xAI

$1.389000
vs Claude Sonnet 5.5: ↑ 97.8%
#18

Claude Opus 5.5
Anthropic

$1.404750 (rounded ~ $1.40)
vs Claude Sonnet 5.5: ↑ 100%
#19

GPT-5.6 Sol
OpenAI

$1.414500 (rounded ~ $1.41)
vs Claude Sonnet 5.5: ↑ 101.4%
#20

Claude Opus 4.7
Anthropic

$1.768125 (rounded ~ $1.77)
vs Claude Sonnet 5.5: ↑ 151.7%
#21

Claude Opus 5
Anthropic

$1.768125 (rounded ~ $1.77)
vs Claude Sonnet 5.5: ↑ 151.7%
#22

Claude Opus 4.8
Anthropic

$1.768125 (rounded ~ $1.77)
vs Claude Sonnet 5.5: ↑ 151.7%
#23

Claude Opus 4.6
Anthropic

$1.768125 (rounded ~ $1.77)
vs Claude Sonnet 5.5: ↑ 151.7%
#24

Gemini 2.5 Pro
Google

$2.068125 (rounded ~ $2.07)
vs Claude Sonnet 5.5: ↑ 194.4%
#25

GPT-6.1 Sol
OpenAI

$2.229000 (rounded ~ $2.23)
vs Claude Sonnet 5.5: ↑ 217.4%
#26

GPT-6 Sol
OpenAI

$2.229000 (rounded ~ $2.23)
vs Claude Sonnet 5.5: ↑ 217.4%
#27

Gemini 3.1 Pro
Google

$2.589000
vs Claude Sonnet 5.5: ↑ 268.6%
#28

GPT-5.4
OpenAI

$3.236250 (rounded ~ $3.24)
vs Claude Sonnet 5.5: ↑ 360.8%
#29

GPT-5.4 Thinking
OpenAI

$3.236250 (rounded ~ $3.24)
vs Claude Sonnet 5.5: ↑ 360.8%
#30

Claude Fable 5.1
Anthropic

$3.499688
vs Claude Sonnet 5.5: ↑ 398.3%
#31

Claude Mythos 5.1
Anthropic

$3.499688
vs Claude Sonnet 5.5: ↑ 398.3%
#32

Claude Fable 5
Anthropic

$3.536250 (rounded ~ $3.54)
vs Claude Sonnet 5.5: ↑ 403.5%
#33

Claude Mythos 5
Anthropic

$3.536250 (rounded ~ $3.54)
vs Claude Sonnet 5.5: ↑ 403.5%
#34

GPT-5.5
OpenAI

$6.472500 (rounded ~ $6.47)
vs Claude Sonnet 5.5: ↑ 821.5%
#35

GPT-6 Astra
OpenAI

$14.145000 (rounded ~ $14.15)
vs Claude Sonnet 5.5: ↑ 1913.9%
#36

GPT-6 Astra
OpenAI

$14.145000 (rounded ~ $14.15)
vs Claude Sonnet 5.5: ↑ 1913.9%
✨ 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.

For UX designers managing large-scale product catalog enrichment, generating consistent, high-converting product descriptions is a critical workflow. Claude Sonnet 5.5 has emerged as a top contender for this task due to its exceptional ability to maintain brand voice across thousands of variations without the hallucination issues often found in smaller, less dense models. When synthesizing research into product copy, consistency is paramount; this model excels at following complex style guides and structured formatting constraints, ensuring that the generated output is ready for CMS injection without significant manual post-editing.

Beyond basic text generation, the model’s sophisticated reasoning allows it to interpret nuanced feature lists—such as technical specifications or material compositions—and translate them into consumer-friendly benefits. For teams prototyping an automated pipeline, the model’s reliability in structured output (JSON or Markdown) makes it an excellent choice for integration into existing content management systems. While the volume of 390K tokens for a batch of 300 descriptions represents a significant data footprint, the quality of instruction following often reduces the need for iterative re-prompting, which is a common hidden cost in content automation. UX designers should consider this model when the priority is high-fidelity, on-brand copy that requires minimal human oversight in the final review stages.

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.