Claude Opus 5.5 vs GPT-6 Sol for 200K-Token Financial 10-K Analysis

Claude Opus 5.5 vs GPT-6 Sol
Complete Comparison: 200,000 input tokens × 1,000 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 Opus 5.5
Anthropic
GPT-6 Sol
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 200,000 200,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.200000 $0.200000
Output Cost $0.005000 (rounded ~ $0.01) $0.005000 (rounded ~ $0.01)
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.110000 Best Value $0.115000 (rounded ~ $0.12) Most Expensive
Processing Time 12 minutes, 12.39 seconds Fastest 26 minutes, 5.22 seconds Slowest
Tokens per Second 280Fastest 131Slowest
Time to First Token 380ms Worst 340ms Best
Cost per 1K tokens $0.000547Best $0.000572Worst
Tokens per Dollar 1,827,273Best Value 1,747,826Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.000000 $1.000000
Output Cost / 1M (Base) $5.000000 $5.000000
Input Cost / 1M (Optimized) $0.500000
Optimizations: 50.0% batch
$0.500000
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $2.500000
Optimizations: 50.0% batch
$2.500000
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
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Select AI Model

Claude Opus 5.5

AnthropicMax Context: 1,000,000 tokens
$4 / $20 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

$0.100000 Input Cost
$0.005000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
201,000Total Tokens
$0.000547Cost per 1K
1,827,273Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

12m 12s Processing Time
280 Tokens/Second
380ms Time to First Token
275 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 Opus 5.5 Anthropic 1000000

$0.110000
Total Cost
⚡ 50% 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) $0.205000 (rounded ~ $0.21) Input: $0.200000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.110000 Input: $0.200000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.095000 (rounded ~ $0.10) 46.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.200000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.110000
  • Cost per 1K tokens: $0.000547
  • Tokens per dollar: 1,827,273 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

  • Processing Time: 12 minutes, 12.39 seconds
  • Latency: 380 milliseconds to first token
  • Base Throughput: 280 tokens/second
  • Effective Throughput: 275 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 5.5 for high-stakesnuanced 10-K reasoning and GPT-6 Sol for high-volumecost-efficient financial data extraction.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 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 Sol OpenAI 1050000

$0.115000 (rounded ~ $0.12)
Total Cost
⚡ 50% 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) $0.205000 (rounded ~ $0.21) Input: $0.200000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.115000 (rounded ~ $0.12) Input: $0.200000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.090000 43.9% 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 200,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.200000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.115000 (rounded ~ $0.12)
  • Cost per 1K tokens: $0.000572
  • Tokens per dollar: 1,747,826 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: 26 minutes, 5.22 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 128 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 5.5 for high-stakesnuanced 10-K reasoning and GPT-6 Sol for high-volumecost-efficient financial data extraction.

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 Opus 5.5
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 5.5 vs GPT-6 Sol
🏆 GPT-6 Luna
OpenAI
$0.005750 (rounded ~ $0.01) Best Value ↓ 94.8% cheaper ↓ 95% cheaper
🥈 GPT-5.6 Luna
OpenAI
$0.005800 (rounded ~ $0.01) ↓ 94.7% cheaper ↓ 95% cheaper
🥉 Gemini 3.1 Flash Lite
Google
$0.007250 (rounded ~ $0.01) ↓ 93.4% cheaper ↓ 93.7% cheaper
#4 Gemini 3.5 Flash-Lite
Google
$0.008875 (rounded ~ $0.01) ↓ 91.9% cheaper ↓ 92.3% cheaper
#5 Gemini 2.5 Flash
Google
$0.008875 (rounded ~ $0.01) ↓ 91.9% cheaper ↓ 92.3% cheaper
#6 Mistral Large 3
Mistral AI
$0.014125 (rounded ~ $0.01) ↓ 87.2% cheaper ↓ 87.7% cheaper
#7 Gemini 3.8 Flash
Google
$0.021563 (rounded ~ $0.02) ↓ 80.4% cheaper ↓ 81.3% cheaper
#8 Gemini 3.6 Flash
Google
$0.021563 (rounded ~ $0.02) ↓ 80.4% cheaper ↓ 81.3% cheaper
#9 GPT-5.4 mini
OpenAI
$0.021750 (rounded ~ $0.02) ↓ 80.2% cheaper ↓ 81.1% cheaper
#10 Claude Haiku 5.5
Anthropic
$0.028750 (rounded ~ $0.03) ↓ 73.9% cheaper ↓ 75% cheaper
#11 Claude Haiku 4.5
Anthropic
$0.028750 (rounded ~ $0.03) ↓ 73.9% cheaper ↓ 75% cheaper
#12 Gemini 3.1 Flash
Google
$0.029000 ↓ 73.6% cheaper ↓ 74.8% cheaper
#13 Mistral Large 4
Mistral AI
$0.038445 (rounded ~ $0.04) ↓ 65.1% cheaper ↓ 66.6% cheaper
#14 Claude Sonnet 5.5
Anthropic
$0.055000 (rounded ~ $0.06) ↓ 50% cheaper ↓ 52.2% cheaper
#15 Gemini 4 Argon
Google
$0.057500 (rounded ~ $0.06) ↓ 47.7% cheaper ↓ 50% cheaper
#16 Claude Sonnet 5
Anthropic
$0.057500 (rounded ~ $0.06) ↓ 47.7% cheaper ↓ 50% cheaper
#17 GPT-5.6 Terra
OpenAI
$0.058000 (rounded ~ $0.06) ↓ 47.3% cheaper ↓ 49.6% cheaper
#18 Gemini 2.5 Pro
Google
$0.073750 (rounded ~ $0.07) ↓ 33% cheaper ↓ 35.9% cheaper
#19 Claude Sonnet 4.6
Anthropic
$0.086250 (rounded ~ $0.09) ↓ 21.6% cheaper ↓ 25% cheaper
#20 Grok 4.3
xAI
$0.112000 (rounded ~ $0.11) ↑ 1.8% more ↓ 2.6% cheaper
#21 Grok 4.20 Beta
xAI
$0.112000 (rounded ~ $0.11) ↑ 1.8% more ↓ 2.6% cheaper
#22 GPT-6.1 Sol
OpenAI
$0.115000 (rounded ~ $0.12) ↑ 4.5% more Same price
#23 GPT-6 Sol
OpenAI
$0.115000 (rounded ~ $0.12) ↑ 4.5% more Same price
#24 GPT-5.6 Sol
OpenAI
$0.115000 (rounded ~ $0.12) ↑ 4.5% more Same price
#25 Gemini 3.1 Pro
Google
$0.116000 (rounded ~ $0.12) ↑ 5.5% more ↑ 0.9% more
#26 Claude Opus 4.7
Anthropic
$0.143750 (rounded ~ $0.14) ↑ 30.7% more ↑ 25% more
#27 Claude Opus 5
Anthropic
$0.143750 (rounded ~ $0.14) ↑ 30.7% more ↑ 25% more
#28 Claude Opus 4.8
Anthropic
$0.143750 (rounded ~ $0.14) ↑ 30.7% more ↑ 25% more
#29 Claude Opus 4.6
Anthropic
$0.143750 (rounded ~ $0.14) ↑ 30.7% more ↑ 25% more
#30 GPT-5.4
OpenAI
$0.145000 (rounded ~ $0.15) ↑ 31.8% more ↑ 26.1% more
#31 GPT-5.4 Thinking
OpenAI
$0.145000 (rounded ~ $0.15) ↑ 31.8% more ↑ 26.1% more
#32 GPT-5.5 Instant
OpenAI
$0.145000 (rounded ~ $0.15) ↑ 31.8% more ↑ 26.1% more
#33 Claude Fable 5.1
Anthropic
$0.268750 (rounded ~ $0.27) ↑ 144.3% more ↑ 133.7% more
#34 Claude Mythos 5.1
Anthropic
$0.268750 (rounded ~ $0.27) ↑ 144.3% more ↑ 133.7% more
#35 Claude Fable 5
Anthropic
$0.287500 (rounded ~ $0.29) ↑ 161.4% more ↑ 150% more
#36 Claude Mythos 5
Anthropic
$0.287500 (rounded ~ $0.29) ↑ 161.4% more ↑ 150% more
#37 GPT-5.5
OpenAI
$0.290000 ↑ 163.6% more ↑ 152.2% more
#38 GPT-6 Astra
OpenAI
$0.575000 (rounded ~ $0.58) ↑ 422.7% more ↑ 400% more
#39 GPT-6 Astra
OpenAI
$0.575000 (rounded ~ $0.58) ↑ 422.7% more ↑ 400% more
🏆

GPT-6 Luna
OpenAI

$0.005750 (rounded ~ $0.01)
vs Claude Opus 5.5: ↓ 94.8%
vs GPT-6 Sol: ↓ 95%
🥈

GPT-5.6 Luna
OpenAI

$0.005800 (rounded ~ $0.01)
vs Claude Opus 5.5: ↓ 94.7%
vs GPT-6 Sol: ↓ 95%
🥉

Gemini 3.1 Flash Lite
Google

$0.007250 (rounded ~ $0.01)
vs Claude Opus 5.5: ↓ 93.4%
vs GPT-6 Sol: ↓ 93.7%
#4

Gemini 3.5 Flash-Lite
Google

$0.008875 (rounded ~ $0.01)
vs Claude Opus 5.5: ↓ 91.9%
vs GPT-6 Sol: ↓ 92.3%
#5

Gemini 2.5 Flash
Google

$0.008875 (rounded ~ $0.01)
vs Claude Opus 5.5: ↓ 91.9%
vs GPT-6 Sol: ↓ 92.3%
#6

Mistral Large 3
Mistral AI

$0.014125 (rounded ~ $0.01)
vs Claude Opus 5.5: ↓ 87.2%
vs GPT-6 Sol: ↓ 87.7%
#7

Gemini 3.8 Flash
Google

$0.021563 (rounded ~ $0.02)
vs Claude Opus 5.5: ↓ 80.4%
vs GPT-6 Sol: ↓ 81.3%
#8

Gemini 3.6 Flash
Google

$0.021563 (rounded ~ $0.02)
vs Claude Opus 5.5: ↓ 80.4%
vs GPT-6 Sol: ↓ 81.3%
#9

GPT-5.4 mini
OpenAI

$0.021750 (rounded ~ $0.02)
vs Claude Opus 5.5: ↓ 80.2%
vs GPT-6 Sol: ↓ 81.1%
#10

Claude Haiku 5.5
Anthropic

$0.028750 (rounded ~ $0.03)
vs Claude Opus 5.5: ↓ 73.9%
vs GPT-6 Sol: ↓ 75%
#11

Claude Haiku 4.5
Anthropic

$0.028750 (rounded ~ $0.03)
vs Claude Opus 5.5: ↓ 73.9%
vs GPT-6 Sol: ↓ 75%
#12

Gemini 3.1 Flash
Google

$0.029000
vs Claude Opus 5.5: ↓ 73.6%
vs GPT-6 Sol: ↓ 74.8%
#13

Mistral Large 4
Mistral AI

$0.038445 (rounded ~ $0.04)
vs Claude Opus 5.5: ↓ 65.1%
vs GPT-6 Sol: ↓ 66.6%
#14

Claude Sonnet 5.5
Anthropic

$0.055000 (rounded ~ $0.06)
vs Claude Opus 5.5: ↓ 50%
vs GPT-6 Sol: ↓ 52.2%
#15

Gemini 4 Argon
Google

$0.057500 (rounded ~ $0.06)
vs Claude Opus 5.5: ↓ 47.7%
vs GPT-6 Sol: ↓ 50%
#16

Claude Sonnet 5
Anthropic

$0.057500 (rounded ~ $0.06)
vs Claude Opus 5.5: ↓ 47.7%
vs GPT-6 Sol: ↓ 50%
#17

GPT-5.6 Terra
OpenAI

$0.058000 (rounded ~ $0.06)
vs Claude Opus 5.5: ↓ 47.3%
vs GPT-6 Sol: ↓ 49.6%
#18

Gemini 2.5 Pro
Google

$0.073750 (rounded ~ $0.07)
vs Claude Opus 5.5: ↓ 33%
vs GPT-6 Sol: ↓ 35.9%
#19

Claude Sonnet 4.6
Anthropic

$0.086250 (rounded ~ $0.09)
vs Claude Opus 5.5: ↓ 21.6%
vs GPT-6 Sol: ↓ 25%
#20

Grok 4.3
xAI

$0.112000 (rounded ~ $0.11)
vs Claude Opus 5.5: ↑ 1.8%
vs GPT-6 Sol: ↓ 2.6%
#21

Grok 4.20 Beta
xAI

$0.112000 (rounded ~ $0.11)
vs Claude Opus 5.5: ↑ 1.8%
vs GPT-6 Sol: ↓ 2.6%
#22

GPT-6.1 Sol
OpenAI

$0.115000 (rounded ~ $0.12)
vs Claude Opus 5.5: ↑ 4.5%
vs GPT-6 Sol: Same
#23

GPT-6 Sol
OpenAI

$0.115000 (rounded ~ $0.12)
vs Claude Opus 5.5: ↑ 4.5%
vs GPT-6 Sol: Same
#24

GPT-5.6 Sol
OpenAI

$0.115000 (rounded ~ $0.12)
vs Claude Opus 5.5: ↑ 4.5%
vs GPT-6 Sol: Same
#25

Gemini 3.1 Pro
Google

$0.116000 (rounded ~ $0.12)
vs Claude Opus 5.5: ↑ 5.5%
vs GPT-6 Sol: ↑ 0.9%
#26

Claude Opus 4.7
Anthropic

$0.143750 (rounded ~ $0.14)
vs Claude Opus 5.5: ↑ 30.7%
vs GPT-6 Sol: ↑ 25%
#27

Claude Opus 5
Anthropic

$0.143750 (rounded ~ $0.14)
vs Claude Opus 5.5: ↑ 30.7%
vs GPT-6 Sol: ↑ 25%
#28

Claude Opus 4.8
Anthropic

$0.143750 (rounded ~ $0.14)
vs Claude Opus 5.5: ↑ 30.7%
vs GPT-6 Sol: ↑ 25%
#29

Claude Opus 4.6
Anthropic

$0.143750 (rounded ~ $0.14)
vs Claude Opus 5.5: ↑ 30.7%
vs GPT-6 Sol: ↑ 25%
#30

GPT-5.4
OpenAI

$0.145000 (rounded ~ $0.15)
vs Claude Opus 5.5: ↑ 31.8%
vs GPT-6 Sol: ↑ 26.1%
#31

GPT-5.4 Thinking
OpenAI

$0.145000 (rounded ~ $0.15)
vs Claude Opus 5.5: ↑ 31.8%
vs GPT-6 Sol: ↑ 26.1%
#32

GPT-5.5 Instant
OpenAI

$0.145000 (rounded ~ $0.15)
vs Claude Opus 5.5: ↑ 31.8%
vs GPT-6 Sol: ↑ 26.1%
#33

Claude Fable 5.1
Anthropic

$0.268750 (rounded ~ $0.27)
vs Claude Opus 5.5: ↑ 144.3%
vs GPT-6 Sol: ↑ 133.7%
#34

Claude Mythos 5.1
Anthropic

$0.268750 (rounded ~ $0.27)
vs Claude Opus 5.5: ↑ 144.3%
vs GPT-6 Sol: ↑ 133.7%
#35

Claude Fable 5
Anthropic

$0.287500 (rounded ~ $0.29)
vs Claude Opus 5.5: ↑ 161.4%
vs GPT-6 Sol: ↑ 150%
#36

Claude Mythos 5
Anthropic

$0.287500 (rounded ~ $0.29)
vs Claude Opus 5.5: ↑ 161.4%
vs GPT-6 Sol: ↑ 150%
#37

GPT-5.5
OpenAI

$0.290000
vs Claude Opus 5.5: ↑ 163.6%
vs GPT-6 Sol: ↑ 152.2%
#38

GPT-6 Astra
OpenAI

$0.575000 (rounded ~ $0.58)
vs Claude Opus 5.5: ↑ 422.7%
vs GPT-6 Sol: ↑ 400%
#39

GPT-6 Astra
OpenAI

$0.575000 (rounded ~ $0.58)
vs Claude Opus 5.5: ↑ 422.7%
vs GPT-6 Sol: ↑ 400%
✨ 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.

Localization managers tasked with financial earnings analysis often face the challenge of extracting consistent structured data from complex 10-K filings across multiple languages and jurisdictions. When processing high-volume document pipelines, the choice between frontier models like Claude Opus 5.5 and GPT-6 Sol depends heavily on the specific requirements of your financial intelligence stack. Claude Opus 5.5 is often preferred for its nuanced reasoning and adaptive thinking, which are critical when interpreting subtle disclosures in 10-K footnotes or cross-referencing audit statements across international financial reporting standards. Its ability to maintain coherence over long, complex documents makes it a strong candidate for teams prioritizing accuracy in sensitive financial extraction. Conversely, GPT-6 Sol offers a highly competitive price-to-performance ratio for routine, high-volume extraction tasks where the primary goal is structured data output at scale. For teams managing large-scale, automated financial reporting pipelines, Sol provides a scalable solution that can process vast numbers of documents efficiently. Both models support advanced vision capabilities, allowing them to parse the charts and tables that frequently appear in modern 10-K reports. Choosing between them often comes down to whether your workflow prioritizes the deepest reasoning for complex investigative research or cost-effective throughput for standardized quarterly analysis. Evaluate both models against your existing audit trails and verify how each handles the specific financial terminology and regulatory nuances of your target markets.

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.