Claude Sonnet 5.5 vs GPT-6 Sol for 500K-Token Email Batches

Claude Sonnet 5.5 vs GPT-6 Sol
Complete Comparison: 500,000 input tokens × 300,000 output tokens
Comparison Mode
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 5.5
Anthropic
GPT-6 Sol
OpenAI
Calculation Results (Current Inputs) (30% cached)
Input Tokens 500,000 500,000
Output Tokens 300,000 300,000
Cost Breakdown
Input Cost $0.250000Best $1.000000Worst
Output Cost $0.750000Best $2.250000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.928750 (rounded ~ $0.93) Best Value $2.980000 Most Expensive
Processing Time 47 minutes, 33.51 seconds Fastest 1 hour, 48 minutes, 54.53 seconds Slowest
Tokens per Second 300Fastest 131Slowest
Time to First Token 300ms Best 340ms Worst
Cost per 1K tokens $0.001161Best $0.003725Worst
Tokens per Dollar 861,373Best Value 268,456Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Best $2.000000Worst
Output Cost / 1M (Base) $2.500000Best $7.500000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: 50.0% batch
$1.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.250000Best
Optimizations: 50.0% batch
$3.750000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
30
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Claude Sonnet 5.5

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

$0.928750 Total Cost
$0.175000 Input Cost
$0.750000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
800,000Total Tokens
$0.001161Cost per 1K
861,373Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

47m 33s 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

$0.928750 (rounded ~ $0.93)
Total Cost
⚡ 30% 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) $1.000000 Input: $0.250000
Output: $0.750000
Optimized Cost $0.928750 (rounded ~ $0.93) Input: $0.250000
Output: $0.750000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.071250 (rounded ~ $0.07) 7.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 300,000 output tokens:

  • Input Cost: $0.250000
  • Output Cost: $0.750000
  • Total Cost: $0.928750 (rounded ~ $0.93)
  • Cost per 1K tokens: $0.001161
  • Tokens per dollar: 861,373 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: 47 minutes, 33.51 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second (temperature-adjusted)

Best Use Cases

Claude for creativehigh-touch brand communication; GPT-6 for complexlogic-heavy personalized segmentation.

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.

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GPT-6 Sol OpenAI 1050000 🏔️ Context Cliff

$2.980000
Total Cost
⚡ 30% 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) $3.250000 Input: $1.000000
Output: $2.250000
Optimized Cost $2.980000 Input: $1.000000
Output: $2.250000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.270000 8.3% 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 300,000 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $2.250000
  • Total Cost: $2.980000
  • Cost per 1K tokens: $0.003725
  • Tokens per dollar: 268,456 tokens
  • Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 131 tokens per second and 340ms time to first token:

  • Processing Time: 1 hour, 48 minutes, 54.53 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 122 tokens/second (temperature-adjusted)

Best Use Cases

Claude for creativehigh-touch brand communication; GPT-6 for complexlogic-heavy personalized segmentation.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 Sol. 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: 500,000
Output Tokens: 300,000
Batch API: Enabled (50% discount)
Cached Tokens: 30%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 5.5 vs GPT-6 Sol
🏆 GPT-5.6 Luna
OpenAI
 $0.108250 (rounded ~ $0.11) Best Value ↓ 88.3% cheaper ↓ 96.4% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.135313 (rounded ~ $0.14) ↓ 85.4% cheaper ↓ 95.5% cheaper
🥉 GPT-6 Luna
OpenAI
 $0.149000 (rounded ~ $0.15) ↓ 84% cheaper ↓ 95% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.214875 (rounded ~ $0.21) ↓ 76.9% cheaper ↓ 92.8% cheaper
#5 Gemini 2.5 Flash
Google
 $0.214875 (rounded ~ $0.21) ↓ 76.9% cheaper ↓ 92.8% cheaper
#6 Gemini 3.8 Flash
Google
 $0.349688 ↓ 62.3% cheaper ↓ 88.3% cheaper
#7 Gemini 3.6 Flash
Google
 $0.349688 ↓ 62.3% cheaper ↓ 88.3% cheaper
#8 Mistral Large 4
Mistral AI
 $0.437600 (rounded ~ $0.44) ↓ 52.9% cheaper ↓ 85.3% cheaper
#9 Claude Haiku 5.5
Anthropic
 $0.466250 (rounded ~ $0.47) ↓ 49.8% cheaper ↓ 84.4% cheaper
#10 Claude Sonnet 5
Anthropic
 $0.932500 (rounded ~ $0.93) ↑ 0.4% more ↓ 68.7% cheaper
#11 Gemini 4 Argon
Google
 $0.932500 (rounded ~ $0.93) ↑ 0.4% more ↓ 68.7% cheaper
#12 Gemini 3.1 Flash
Google
 $1.082500 (rounded ~ $1.08) ↑ 16.6% more ↓ 63.7% cheaper
#13 GPT-5.6 Terra
OpenAI
 $1.082500 (rounded ~ $1.08) ↑ 16.6% more ↓ 63.7% cheaper
#14 Claude Sonnet 4.6
Anthropic
 $1.398750 (rounded ~ $1.40) ↑ 50.6% more ↓ 53.1% cheaper
#15 Claude Opus 5.5
Anthropic
 $1.857500 (rounded ~ $1.86) ↑ 100% more ↓ 37.7% cheaper
#16 GPT-5.6 Sol
OpenAI
 $1.865000 (rounded ~ $1.87) ↑ 100.8% more ↓ 37.4% cheaper
#17 Grok 4.3
xAI
 $1.930000 ↑ 107.8% more ↓ 35.2% cheaper
#18 Grok 4.20 Beta
xAI
 $1.930000 ↑ 107.8% more ↓ 35.2% cheaper
#19 Claude Opus 4.7
Anthropic
 $2.331250 (rounded ~ $2.33) ↑ 151% more ↓ 21.8% cheaper
#20 Claude Opus 5
Anthropic
 $2.331250 (rounded ~ $2.33) ↑ 151% more ↓ 21.8% cheaper
#21 Claude Opus 4.8
Anthropic
 $2.331250 (rounded ~ $2.33) ↑ 151% more ↓ 21.8% cheaper
#22 Claude Opus 4.6
Anthropic
 $2.331250 (rounded ~ $2.33) ↑ 151% more ↓ 21.8% cheaper
#23 Gemini 2.5 Pro
Google
 $2.706250 (rounded ~ $2.71) ↑ 191.4% more ↓ 9.2% cheaper
#24 GPT-6.1 Sol
OpenAI
 $2.980000 ↑ 220.9% more Same price
#25 GPT-6 Sol
OpenAI
 $2.980000 ↑ 220.9% more Same price
#26 Gemini 3.1 Pro
Google
 $3.430000 ↑ 269.3% more ↑ 15.1% more
#27 GPT-5.4
OpenAI
 $4.287500 (rounded ~ $4.29) ↑ 361.6% more ↑ 43.9% more
#28 GPT-5.4 Thinking
OpenAI
 $4.287500 (rounded ~ $4.29) ↑ 361.6% more ↑ 43.9% more
#29 Claude Fable 5.1
Anthropic
 $4.634375 (rounded ~ $4.63) ↑ 399% more ↑ 55.5% more
#30 Claude Mythos 5.1
Anthropic
 $4.634375 (rounded ~ $4.63) ↑ 399% more ↑ 55.5% more
#31 Claude Fable 5
Anthropic
 $4.662500 (rounded ~ $4.66) ↑ 402% more ↑ 56.5% more
#32 Claude Mythos 5
Anthropic
 $4.662500 (rounded ~ $4.66) ↑ 402% more ↑ 56.5% more
#33 GPT-5.5
OpenAI
 $8.575000 (rounded ~ $8.58) ↑ 823.3% more ↑ 187.8% more
#34 GPT-6 Astra
OpenAI
 $18.650000 ↑ 1908.1% more ↑ 525.8% more
#35 GPT-6 Astra
OpenAI
 $18.650000 ↑ 1908.1% more ↑ 525.8% more
🏆

GPT-5.6 Luna
OpenAI

$0.108250 (rounded ~ $0.11)
vs Claude Sonnet 5.5: ↓ 88.3%
vs GPT-6 Sol: ↓ 96.4%
🥈

Gemini 3.1 Flash Lite
Google

$0.135313 (rounded ~ $0.14)
vs Claude Sonnet 5.5: ↓ 85.4%
vs GPT-6 Sol: ↓ 95.5%
🥉

GPT-6 Luna
OpenAI

$0.149000 (rounded ~ $0.15)
vs Claude Sonnet 5.5: ↓ 84%
vs GPT-6 Sol: ↓ 95%
#4

Gemini 3.5 Flash-Lite
Google

$0.214875 (rounded ~ $0.21)
vs Claude Sonnet 5.5: ↓ 76.9%
vs GPT-6 Sol: ↓ 92.8%
#5

Gemini 2.5 Flash
Google

$0.214875 (rounded ~ $0.21)
vs Claude Sonnet 5.5: ↓ 76.9%
vs GPT-6 Sol: ↓ 92.8%
#6

Gemini 3.8 Flash
Google

$0.349688
vs Claude Sonnet 5.5: ↓ 62.3%
vs GPT-6 Sol: ↓ 88.3%
#7

Gemini 3.6 Flash
Google

$0.349688
vs Claude Sonnet 5.5: ↓ 62.3%
vs GPT-6 Sol: ↓ 88.3%
#8

Mistral Large 4
Mistral AI

$0.437600 (rounded ~ $0.44)
vs Claude Sonnet 5.5: ↓ 52.9%
vs GPT-6 Sol: ↓ 85.3%
#9

Claude Haiku 5.5
Anthropic

$0.466250 (rounded ~ $0.47)
vs Claude Sonnet 5.5: ↓ 49.8%
vs GPT-6 Sol: ↓ 84.4%
#10

Claude Sonnet 5
Anthropic

$0.932500 (rounded ~ $0.93)
vs Claude Sonnet 5.5: ↑ 0.4%
vs GPT-6 Sol: ↓ 68.7%
#11

Gemini 4 Argon
Google

$0.932500 (rounded ~ $0.93)
vs Claude Sonnet 5.5: ↑ 0.4%
vs GPT-6 Sol: ↓ 68.7%
#12

Gemini 3.1 Flash
Google

$1.082500 (rounded ~ $1.08)
vs Claude Sonnet 5.5: ↑ 16.6%
vs GPT-6 Sol: ↓ 63.7%
#13

GPT-5.6 Terra
OpenAI

$1.082500 (rounded ~ $1.08)
vs Claude Sonnet 5.5: ↑ 16.6%
vs GPT-6 Sol: ↓ 63.7%
#14

Claude Sonnet 4.6
Anthropic

$1.398750 (rounded ~ $1.40)
vs Claude Sonnet 5.5: ↑ 50.6%
vs GPT-6 Sol: ↓ 53.1%
#15

Claude Opus 5.5
Anthropic

$1.857500 (rounded ~ $1.86)
vs Claude Sonnet 5.5: ↑ 100%
vs GPT-6 Sol: ↓ 37.7%
#16

GPT-5.6 Sol
OpenAI

$1.865000 (rounded ~ $1.87)
vs Claude Sonnet 5.5: ↑ 100.8%
vs GPT-6 Sol: ↓ 37.4%
#17

Grok 4.3
xAI

$1.930000
vs Claude Sonnet 5.5: ↑ 107.8%
vs GPT-6 Sol: ↓ 35.2%
#18

Grok 4.20 Beta
xAI

$1.930000
vs Claude Sonnet 5.5: ↑ 107.8%
vs GPT-6 Sol: ↓ 35.2%
#19

Claude Opus 4.7
Anthropic

$2.331250 (rounded ~ $2.33)
vs Claude Sonnet 5.5: ↑ 151%
vs GPT-6 Sol: ↓ 21.8%
#20

Claude Opus 5
Anthropic

$2.331250 (rounded ~ $2.33)
vs Claude Sonnet 5.5: ↑ 151%
vs GPT-6 Sol: ↓ 21.8%
#21

Claude Opus 4.8
Anthropic

$2.331250 (rounded ~ $2.33)
vs Claude Sonnet 5.5: ↑ 151%
vs GPT-6 Sol: ↓ 21.8%
#22

Claude Opus 4.6
Anthropic

$2.331250 (rounded ~ $2.33)
vs Claude Sonnet 5.5: ↑ 151%
vs GPT-6 Sol: ↓ 21.8%
#23

Gemini 2.5 Pro
Google

$2.706250 (rounded ~ $2.71)
vs Claude Sonnet 5.5: ↑ 191.4%
vs GPT-6 Sol: ↓ 9.2%
#24

GPT-6.1 Sol
OpenAI

$2.980000
vs Claude Sonnet 5.5: ↑ 220.9%
vs GPT-6 Sol: Same
#25

GPT-6 Sol
OpenAI

$2.980000
vs Claude Sonnet 5.5: ↑ 220.9%
vs GPT-6 Sol: Same
#26

Gemini 3.1 Pro
Google

$3.430000
vs Claude Sonnet 5.5: ↑ 269.3%
vs GPT-6 Sol: ↑ 15.1%
#27

GPT-5.4
OpenAI

$4.287500 (rounded ~ $4.29)
vs Claude Sonnet 5.5: ↑ 361.6%
vs GPT-6 Sol: ↑ 43.9%
#28

GPT-5.4 Thinking
OpenAI

$4.287500 (rounded ~ $4.29)
vs Claude Sonnet 5.5: ↑ 361.6%
vs GPT-6 Sol: ↑ 43.9%
#29

Claude Fable 5.1
Anthropic

$4.634375 (rounded ~ $4.63)
vs Claude Sonnet 5.5: ↑ 399%
vs GPT-6 Sol: ↑ 55.5%
#30

Claude Mythos 5.1
Anthropic

$4.634375 (rounded ~ $4.63)
vs Claude Sonnet 5.5: ↑ 399%
vs GPT-6 Sol: ↑ 55.5%
#31

Claude Fable 5
Anthropic

$4.662500 (rounded ~ $4.66)
vs Claude Sonnet 5.5: ↑ 402%
vs GPT-6 Sol: ↑ 56.5%
#32

Claude Mythos 5
Anthropic

$4.662500 (rounded ~ $4.66)
vs Claude Sonnet 5.5: ↑ 402%
vs GPT-6 Sol: ↑ 56.5%
#33

GPT-5.5
OpenAI

$8.575000 (rounded ~ $8.58)
vs Claude Sonnet 5.5: ↑ 823.3%
vs GPT-6 Sol: ↑ 187.8%
#34

GPT-6 Astra
OpenAI

$18.650000
vs Claude Sonnet 5.5: ↑ 1908.1%
vs GPT-6 Sol: ↑ 525.8%
#35

GPT-6 Astra
OpenAI

$18.650000
vs Claude Sonnet 5.5: ↑ 1908.1%
vs GPT-6 Sol: ↑ 525.8%
✨ 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.

Selecting the Right Engine for Personalized Marketing

Choosing between Claude Sonnet 5.5 and GPT-6 Sol for high-volume email generation depends heavily on the complexity of your brand voice and the depth of personalization required. Both models are highly capable, but they offer distinct advantages for the e-commerce store owner looking to optimize communication.

Claude Sonnet 5.5 is often the preferred choice when the primary objective is maintaining a nuanced, human-like tone across a diverse customer base. Its ability to adhere to complex style guides and creative constraints makes it stand out for brands that prioritize storytelling and sophisticated brand identity in every customer interaction. If your emails need to sound less like automated notifications and more like curated recommendations, this model’s reasoning capabilities often yield more natural results.

GPT-6 Sol, conversely, excels in scenarios where the personalization logic is highly structured or data-dense. If your email drafting involves deep integration with complex behavioral datasets—such as multi-variable conditional logic for product recommendations—this model’s reasoning architecture provides superior accuracy. It is particularly effective at handling edge cases where you need the AI to interpret varied user inputs without losing the thread of the core marketing message.

Ultimately, both models handle the 500K-token daily load with ease. If your workflow is focused on creative brand voice, lean toward Claude. If your workflow is focused on complex logic and data-driven segmentation, GPT-6 Sol will likely provide a more robust result for your production pipeline.

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

Claude Sonnet 5.5 currently costs $2.00 / $10.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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