Claude Sonnet 5.5 vs GPT-6 Sol for Clinical Record Summarization at 10M Tokens Monthly

Claude Sonnet 5.5 vs GPT-6 Sol
Complete Comparison: 10,000,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Sonnet 5.5
Anthropic
GPT-6 Sol
OpenAI
Calculation Results (Current Inputs) (40% cached)
Input Tokens 10,000,000 10,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $5.000000Best $20.000000Worst
Output Cost $0.005000 (rounded ~ $0.01)Best $0.015000 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $3.105000 (rounded ~ $3.11) Best Value $12.815000 (rounded ~ $12.82) Most Expensive
Processing Time 9 hours, 21 minutes, 13.58 seconds Fastest 21 hours, 25 minutes, 14.84 seconds Slowest
Tokens per Second 300Fastest 131Slowest
Time to First Token 300ms Best 340ms Worst
Cost per 1K tokens $0.000310Best $0.001281Worst
Tokens per Dollar 3,221,256Best Value 780,492Worst 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
40
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Sonnet 5.5

AnthropicMax Context: 1,000,000 tokens
$2 / $10 per 1M tokens
40%
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

$3.105000 Total Cost
$3.000000 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
10,002,000Total Tokens
$0.000310Cost per 1K
3,221,256Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

561m 13s Processing Time
300 Tokens/Second
300ms Time to First Token
297 Effective Speed

Model Comparison

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Model Information

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🔄 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

$3.105000 (rounded ~ $3.11)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 40% 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) $5.005000 (rounded ~ $5.01) Input: $5.000000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $3.105000 (rounded ~ $3.11) Input: $5.000000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $1.900000 38.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 10,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $3.105000 (rounded ~ $3.11)
  • Cost per 1K tokens: $0.000310
  • Tokens per dollar: 3,221,256 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: 9 hours, 21 minutes, 13.58 seconds
  • Latency: 300 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 297 tokens/second (temperature-adjusted)

Best Use Cases

Best for complex clinical note generation where high-accuracy data extraction and structured output are mandatory.

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

$12.815000 (rounded ~ $12.82)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,050,000 tokens. Budgeting mode active.
⚡ 40% 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) $20.015000 (rounded ~ $20.02) Input: $20.000000
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $12.815000 (rounded ~ $12.82) Input: $20.000000
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $7.200000 36.0% 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 10,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $20.000000
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $12.815000 (rounded ~ $12.82)
  • Cost per 1K tokens: $0.001281
  • Tokens per dollar: 780,492 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: 21 hours, 25 minutes, 14.84 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 130 tokens/second (temperature-adjusted)

Best Use Cases

Best for complex clinical note generation where high-accuracy data extraction and structured output are mandatory.

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: 10,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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 reasoning engine for clinical record summarization involves balancing high-fidelity instruction following with the specific architectural needs of EHR integration. Claude Sonnet 5.5 and GPT-6 Sol both offer exceptional capabilities for parsing complex medical narratives and extracting structured data, but they present different strategic advantages for mobile app developers scaling to 10 million tokens monthly.

Claude Sonnet 5.5 is particularly noted for its ability to adhere to complex constraints and output structured JSON, which is vital when the generated notes must map directly to clinical database fields. Its reasoning capabilities ensure that the distinction between patient-reported symptoms and physician observations is preserved accurately, reducing the need for manual post-generation cleanup. This consistency makes it a strong contender for applications that prioritize rigid schema adherence.

Conversely, GPT-6 Sol brings advanced reasoning to the table, excelling in scenarios where the clinical note generation involves synthesizing multiple sources of patient data, such as history, vitals, and lab results. For mobile products that require deep reasoning to suggest potential diagnoses or documentation improvements, GPT-6 Sol often provides more nuanced outputs. When choosing between these for your production pipeline, consider the primary output format of your application. If your workflow relies heavily on consistent schema output, Sonnet 5.5 often streamlines the development process. If your feature set involves multi-step reasoning over fragmented patient records, GPT-6 Sol may offer a more robust foundation.

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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