Claude Sonnet 5.5 vs GPT-6 Luna for 5,000 Product Descriptions

Claude Sonnet 5.5 vs GPT-6 Luna
Complete Comparison: 500 input tokens × 800 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 5.5
Anthropic
GPT-6 Luna
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500 500
Output Tokens 800 800
Cost Breakdown
Input Cost $0.000250Worst $0.000025Best
Output Cost $0.002000Worst $0.000200Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.002131 Most Expensive $0.000214 Best Value
Processing Time 4.82 seconds Slowest 3.49 seconds Fastest
Tokens per Second 300Slowest 420Fastest
Time to First Token 300ms Worst 90ms Best
Cost per 1K tokens $0.001639Worst $0.000164Best
Tokens per Dollar 609,971Worst Value 6,081,871Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Worst $0.050000Best
Output Cost / 1M (Base) $2.500000Worst $0.250000Best
Input Cost / 1M (Optimized) $0.250000Worst
Optimizations: 50.0% batch
$0.025000 (rounded ~ $0.03)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.250000Worst
Optimizations: 50.0% batch
$0.125000 (rounded ~ $0.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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

$0.000125 Input Cost
$0.002000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,300Total Tokens
$0.001639Cost per 1K
609,971Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

4.82s 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
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

Claude Sonnet 5.5 Anthropic 1000000

$0.002131
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) $0.002250 Input: $0.000250
Output: $0.002000
Optimized Cost $0.002131 Input: $0.000250
Output: $0.002000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000119 5.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000250
  • Output Cost: $0.002000
  • Total Cost: $0.002131
  • Cost per 1K tokens: $0.001639
  • Tokens per dollar: 609,971 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: 4.82 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Choose Sonnet 5.5 for creativecomplex brand voice tasksor GPT-6 Luna for high-volumestandardized ecommerce output.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 5.5. 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 →

GPT-6 Luna OpenAI 1050000

$0.000214
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) $0.000225 Input: $0.000025
Output: $0.000200
Optimized Cost $0.000214 Input: $0.000025
Output: $0.000200
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000011 5.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 500 input tokens and 800 output tokens:

  • Input Cost: $0.000025
  • Output Cost: $0.000200
  • Total Cost: $0.000214
  • Cost per 1K tokens: $0.000164
  • Tokens per dollar: 6,081,871 tokens
  • Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 90ms time to first token:

  • Processing Time: 3.49 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Choose Sonnet 5.5 for creativecomplex brand voice tasksor GPT-6 Luna for high-volumestandardized ecommerce output.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 Luna. 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 Claude Sonnet 5.5
📋 Active Input Parameters
Input Tokens: 500
Output Tokens: 800
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5 vs GPT-6 Luna
🏆 Ministral 3 (14B)
Mistral AI
$0.000054 Best Value ↓ 97.5% cheaper ↓ 74.9% cheaper
🥈 Voxtral Small 24B
Mistral AI
$0.000067 ↓ 96.9% cheaper ↓ 68.7% cheaper
🥉 Nemotron 3 Super
NVIDIA
$0.000185 ↓ 91.3% cheaper ↓ 13.6% cheaper
#4 Claude Haiku 5.5
Anthropic
$0.000214 ↓ 90% cheaper Same price
#5 GPT-6 Luna
OpenAI
$0.000214 ↓ 90% cheaper Same price
#6 GPT-5.6 Luna
OpenAI
$0.000254 ↓ 88.1% cheaper ↑ 18.7% more
#7 Gemini 3.1 Flash Lite
Google
$0.000317 ↓ 85.1% cheaper ↑ 48.4% more
#8 Mistral Large 3
Mistral AI
$0.000334 ↓ 84.3% cheaper ↑ 56.4% more
#9 Gemini 3.5 Flash-Lite
Google
$0.000521 ↓ 75.6% cheaper ↑ 143.6% more
#10 Gemini 2.5 Flash
Google
$0.000521 ↓ 75.6% cheaper ↑ 143.6% more
#11 Gemini 3.8 Flash
Google
$0.000802 ↓ 62.4% cheaper ↑ 275% more
#12 Gemini 3.6 Flash
Google
$0.000802 ↓ 62.4% cheaper ↑ 275% more
#13 Mistral Large 4
Mistral AI
$0.000930 ↓ 56.4% cheaper ↑ 334.9% more
#14 GPT-5.4 mini
OpenAI
$0.000952 ↓ 55.4% cheaper ↑ 345.2% more
#15 Claude Haiku 4.5
Anthropic
$0.001069 ↓ 49.9% cheaper ↑ 400% more
#16 Gemini 3.1 Flash
Google
$0.001269 ↓ 40.5% cheaper ↑ 493.6% more
#17 Grok 4.3
xAI
$0.001875 ↓ 12% cheaper ↑ 777.2% more
#18 Grok 4.20 Beta
xAI
$0.001875 ↓ 12% cheaper ↑ 777.2% more
#19 Claude Sonnet 5
Anthropic
$0.002138 ↑ 0.3% more ↑ 900% more
#20 Gemini 4 Argon
Google
$0.002138 ↑ 0.3% more ↑ 900% more
#21 GPT-5.6 Terra
OpenAI
$0.002538 ↑ 19.1% more ↑ 1087.1% more
#22 GPT-5.3 Codex Spark
OpenAI
$0.002920 ↑ 37% more ↑ 1266.2% more
#23 GPT-5.3 Instant
OpenAI
$0.002920 ↑ 37% more ↑ 1266.2% more
#24 Claude Sonnet 4.6
Anthropic
$0.003206 ↑ 50.4% more ↑ 1400% more
#25 Gemini 2.5 Pro
Google
$0.004172 ↑ 95.7% more ↑ 1851.8% more
#26 Claude Opus 5.5
Anthropic
$0.004263 ↑ 100% more ↑ 1894.2% more
#27 GPT-6.1 Sol
OpenAI
$0.004275 ↑ 100.6% more ↑ 1900% more
#28 GPT-6 Sol
OpenAI
$0.004275 ↑ 100.6% more ↑ 1900% more
#29 GPT-5.6 Sol
OpenAI
$0.004275 ↑ 100.6% more ↑ 1900% more
#30 Gemini 3.1 Pro
Google
$0.005075 (rounded ~ $0.01) ↑ 138.1% more ↑ 2274.3% more
#31 Claude Opus 4.7
Anthropic
$0.005344 (rounded ~ $0.01) ↑ 150.7% more ↑ 2400% more
#32 Claude Opus 5
Anthropic
$0.005344 (rounded ~ $0.01) ↑ 150.7% more ↑ 2400% more
#33 Claude Opus 4.8
Anthropic
$0.005344 (rounded ~ $0.01) ↑ 150.7% more ↑ 2400% more
#34 Claude Opus 4.6
Anthropic
$0.005344 (rounded ~ $0.01) ↑ 150.7% more ↑ 2400% more
#35 GPT-5.4
OpenAI
$0.006344 (rounded ~ $0.01) ↑ 197.7% more ↑ 2867.8% more
#36 GPT-5.4 Thinking
OpenAI
$0.006344 (rounded ~ $0.01) ↑ 197.7% more ↑ 2867.8% more
#37 GPT-5.5 Instant
OpenAI
$0.006344 (rounded ~ $0.01) ↑ 197.7% more ↑ 2867.8% more
#38 Claude Fable 5.1
Anthropic
$0.010641 ↑ 399.3% more ↑ 4878.1% more
#39 Claude Mythos 5.1
Anthropic
$0.010641 ↑ 399.3% more ↑ 4878.1% more
#40 Claude Fable 5
Anthropic
$0.010688 ↑ 401.5% more ↑ 4900% more
#41 Claude Mythos 5
Anthropic
$0.010688 ↑ 401.5% more ↑ 4900% more
#42 GPT-5.5
OpenAI
$0.012688 (rounded ~ $0.01) ↑ 495.3% more ↑ 5835.7% more
#43 GPT-6 Astra
OpenAI
$0.021375 (rounded ~ $0.02) ↑ 902.9% more ↑ 9900% more
#44 GPT-5.2 Pro
OpenAI
$0.035044 (rounded ~ $0.04) ↑ 1544.3% more ↑ 16294.7% more
#45 GPT-5.2 Pro
OpenAI
$0.035044 (rounded ~ $0.04) ↑ 1544.3% more ↑ 16294.7% more
🏆

Ministral 3 (14B)
Mistral AI

$0.000054
vs Claude Sonnet 5.5: ↓ 97.5%
vs GPT-6 Luna: ↓ 74.9%
🥈

Voxtral Small 24B
Mistral AI

$0.000067
vs Claude Sonnet 5.5: ↓ 96.9%
vs GPT-6 Luna: ↓ 68.7%
🥉

Nemotron 3 Super
NVIDIA

$0.000185
vs Claude Sonnet 5.5: ↓ 91.3%
vs GPT-6 Luna: ↓ 13.6%
#4

Claude Haiku 5.5
Anthropic

$0.000214
vs Claude Sonnet 5.5: ↓ 90%
vs GPT-6 Luna: Same
#5

GPT-6 Luna
OpenAI

$0.000214
vs Claude Sonnet 5.5: ↓ 90%
vs GPT-6 Luna: Same
#6

GPT-5.6 Luna
OpenAI

$0.000254
vs Claude Sonnet 5.5: ↓ 88.1%
vs GPT-6 Luna: ↑ 18.7%
#7

Gemini 3.1 Flash Lite
Google

$0.000317
vs Claude Sonnet 5.5: ↓ 85.1%
vs GPT-6 Luna: ↑ 48.4%
#8

Mistral Large 3
Mistral AI

$0.000334
vs Claude Sonnet 5.5: ↓ 84.3%
vs GPT-6 Luna: ↑ 56.4%
#9

Gemini 3.5 Flash-Lite
Google

$0.000521
vs Claude Sonnet 5.5: ↓ 75.6%
vs GPT-6 Luna: ↑ 143.6%
#10

Gemini 2.5 Flash
Google

$0.000521
vs Claude Sonnet 5.5: ↓ 75.6%
vs GPT-6 Luna: ↑ 143.6%
#11

Gemini 3.8 Flash
Google

$0.000802
vs Claude Sonnet 5.5: ↓ 62.4%
vs GPT-6 Luna: ↑ 275%
#12

Gemini 3.6 Flash
Google

$0.000802
vs Claude Sonnet 5.5: ↓ 62.4%
vs GPT-6 Luna: ↑ 275%
#13

Mistral Large 4
Mistral AI

$0.000930
vs Claude Sonnet 5.5: ↓ 56.4%
vs GPT-6 Luna: ↑ 334.9%
#14

GPT-5.4 mini
OpenAI

$0.000952
vs Claude Sonnet 5.5: ↓ 55.4%
vs GPT-6 Luna: ↑ 345.2%
#15

Claude Haiku 4.5
Anthropic

$0.001069
vs Claude Sonnet 5.5: ↓ 49.9%
vs GPT-6 Luna: ↑ 400%
#16

Gemini 3.1 Flash
Google

$0.001269
vs Claude Sonnet 5.5: ↓ 40.5%
vs GPT-6 Luna: ↑ 493.6%
#17

Grok 4.3
xAI

$0.001875
vs Claude Sonnet 5.5: ↓ 12%
vs GPT-6 Luna: ↑ 777.2%
#18

Grok 4.20 Beta
xAI

$0.001875
vs Claude Sonnet 5.5: ↓ 12%
vs GPT-6 Luna: ↑ 777.2%
#19

Claude Sonnet 5
Anthropic

$0.002138
vs Claude Sonnet 5.5: ↑ 0.3%
vs GPT-6 Luna: ↑ 900%
#20

Gemini 4 Argon
Google

$0.002138
vs Claude Sonnet 5.5: ↑ 0.3%
vs GPT-6 Luna: ↑ 900%
#21

GPT-5.6 Terra
OpenAI

$0.002538
vs Claude Sonnet 5.5: ↑ 19.1%
vs GPT-6 Luna: ↑ 1087.1%
#22

GPT-5.3 Codex Spark
OpenAI

$0.002920
vs Claude Sonnet 5.5: ↑ 37%
vs GPT-6 Luna: ↑ 1266.2%
#23

GPT-5.3 Instant
OpenAI

$0.002920
vs Claude Sonnet 5.5: ↑ 37%
vs GPT-6 Luna: ↑ 1266.2%
#24

Claude Sonnet 4.6
Anthropic

$0.003206
vs Claude Sonnet 5.5: ↑ 50.4%
vs GPT-6 Luna: ↑ 1400%
#25

Gemini 2.5 Pro
Google

$0.004172
vs Claude Sonnet 5.5: ↑ 95.7%
vs GPT-6 Luna: ↑ 1851.8%
#26

Claude Opus 5.5
Anthropic

$0.004263
vs Claude Sonnet 5.5: ↑ 100%
vs GPT-6 Luna: ↑ 1894.2%
#27

GPT-6.1 Sol
OpenAI

$0.004275
vs Claude Sonnet 5.5: ↑ 100.6%
vs GPT-6 Luna: ↑ 1900%
#28

GPT-6 Sol
OpenAI

$0.004275
vs Claude Sonnet 5.5: ↑ 100.6%
vs GPT-6 Luna: ↑ 1900%
#29

GPT-5.6 Sol
OpenAI

$0.004275
vs Claude Sonnet 5.5: ↑ 100.6%
vs GPT-6 Luna: ↑ 1900%
#30

Gemini 3.1 Pro
Google

$0.005075 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 138.1%
vs GPT-6 Luna: ↑ 2274.3%
#31

Claude Opus 4.7
Anthropic

$0.005344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 150.7%
vs GPT-6 Luna: ↑ 2400%
#32

Claude Opus 5
Anthropic

$0.005344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 150.7%
vs GPT-6 Luna: ↑ 2400%
#33

Claude Opus 4.8
Anthropic

$0.005344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 150.7%
vs GPT-6 Luna: ↑ 2400%
#34

Claude Opus 4.6
Anthropic

$0.005344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 150.7%
vs GPT-6 Luna: ↑ 2400%
#35

GPT-5.4
OpenAI

$0.006344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 197.7%
vs GPT-6 Luna: ↑ 2867.8%
#36

GPT-5.4 Thinking
OpenAI

$0.006344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 197.7%
vs GPT-6 Luna: ↑ 2867.8%
#37

GPT-5.5 Instant
OpenAI

$0.006344 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 197.7%
vs GPT-6 Luna: ↑ 2867.8%
#38

Claude Fable 5.1
Anthropic

$0.010641
vs Claude Sonnet 5.5: ↑ 399.3%
vs GPT-6 Luna: ↑ 4878.1%
#39

Claude Mythos 5.1
Anthropic

$0.010641
vs Claude Sonnet 5.5: ↑ 399.3%
vs GPT-6 Luna: ↑ 4878.1%
#40

Claude Fable 5
Anthropic

$0.010688
vs Claude Sonnet 5.5: ↑ 401.5%
vs GPT-6 Luna: ↑ 4900%
#41

Claude Mythos 5
Anthropic

$0.010688
vs Claude Sonnet 5.5: ↑ 401.5%
vs GPT-6 Luna: ↑ 4900%
#42

GPT-5.5
OpenAI

$0.012688 (rounded ~ $0.01)
vs Claude Sonnet 5.5: ↑ 495.3%
vs GPT-6 Luna: ↑ 5835.7%
#43

GPT-6 Astra
OpenAI

$0.021375 (rounded ~ $0.02)
vs Claude Sonnet 5.5: ↑ 902.9%
vs GPT-6 Luna: ↑ 9900%
#44

GPT-5.2 Pro
OpenAI

$0.035044 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 1544.3%
vs GPT-6 Luna: ↑ 16294.7%
#45

GPT-5.2 Pro
OpenAI

$0.035044 (rounded ~ $0.04)
vs Claude Sonnet 5.5: ↑ 1544.3%
vs GPT-6 Luna: ↑ 16294.7%
✨ 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.

When scaling product description generation to thousands of units, the choice between model families significantly impacts your production pipeline. Claude Sonnet 5.5 is often favored for its nuanced grasp of brand voice and ability to follow complex style guidelines without deviation. It excels when your product descriptions require deep subject matter understanding, such as technical specs for electronics or artisanal descriptions for home goods.

Conversely, GPT-6 Luna represents a highly efficient alternative optimized for high-throughput workflows. For solo founders looking to minimize latency while maintaining a high quality bar across large batches, GPT-6 Luna offers a compelling balance. The decision often comes down to your content complexity. If your product descriptions are largely standardized with minor variations, the efficiency of GPT-6 Luna is typically sufficient. However, if your brand relies on distinct, creative copy that varies wildly by product category, the reasoning capabilities of Sonnet 5.5 may yield better conversion rates.

Both models support batch processing, which is essential for handling 5,000 units without hitting rate limits or incurring unnecessary overhead. Consider your long-term roadmap: if you plan to expand into automated blog posts or more complex content marketing later, starting with a more capable model like Sonnet 5.5 can provide a smoother transition. If your priority is purely cost-efficient volume for a standard catalog, GPT-6 Luna is a strong contender for your primary engine.

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.