Claude Sonnet 4.6 vs GPT-5.4 Pro: Clinical Note Generation Accuracy (100K Tokens)

Claude Sonnet 4.6 vs GPT-5.4 Pro
Complete Comparison: 100,000 input tokens × 2,000 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 Sonnet 4.6
Anthropic
GPT-5.4 Pro
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.075000 (rounded ~ $0.08)Best $1.500000Worst
Output Cost $0.007500 (rounded ~ $0.01)Best $0.180000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.048750 (rounded ~ $0.05) Best Value $1.005000 (rounded ~ $1.01) Most Expensive
Processing Time 3 minutes, 53.65 seconds Fastest 5 minutes, 0.35 seconds Slowest
Tokens per Second 450Fastest 350Slowest
Time to First Token 200ms Best 250ms Worst
Cost per 1K tokens $0.000478Best $0.009853Worst
Tokens per Dollar 2,092,308Best Value 101,493Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Best $15.000000Worst
Output Cost / 1M (Base) $3.750000Best $90.000000Worst
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Best
Optimizations: 50.0% batch
$7.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Best
Optimizations: 50.0% batch
$45.000000Worst
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 Sonnet 4.6
AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
▼
▼
Use Batch API (50% discount)
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

$0.048750 Total Cost
$0.037500 Input Cost
$0.007500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000478Cost per 1K
2,092,308Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 53s Processing Time
450 Tokens/Second
200ms Time to First Token
437 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
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
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 4.6 Anthropic 1000000

$0.048750 (rounded ~ $0.05)
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) $0.082500 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.048750 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 40.9% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.048750 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000478
  • Tokens per dollar: 2,092,308 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 3 minutes, 53.65 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Use for high-stakes clinical note generation where structured output and reasoning accuracy are critical.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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-5.4 Pro OpenAI 1024000

$1.005000 (rounded ~ $1.01)
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) $1.680000 Input: $1.500000
Output: $0.180000
Optimized Cost $1.005000 (rounded ~ $1.01) Input: $1.500000
Output: $0.180000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.675000 (rounded ~ $0.68) 40.2% 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 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.500000
  • Output Cost: $0.180000
  • Total Cost: $1.005000 (rounded ~ $1.01)
  • Cost per 1K tokens: $0.009853
  • Tokens per dollar: 101,493 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 5 minutes, 0.35 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 340 tokens/second (temperature-adjusted)

Best Use Cases

Use for high-stakes clinical note generation where structured output and reasoning accuracy are critical.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 Pro. 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 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs GPT-5.4 Pro
🏆 Mistral Small 3
Mistral AI
 $0.001525 Best Value ↓ 96.9% cheaper ↓ 99.8% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003500 ↓ 92.8% cheaper ↓ 99.7% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 91.4% cheaper ↓ 99.6% cheaper
#4 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 89% cheaper ↓ 99.5% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 84.4% cheaper ↓ 99.2% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 74.2% cheaper ↓ 98.8% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.015750 (rounded ~ $0.02) ↓ 67.7% cheaper ↓ 98.4% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 66.7% cheaper ↓ 98.4% cheaper
#9 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 65.6% cheaper ↓ 98.3% cheaper
#10 o4-mini
OpenAI
 $0.017325 (rounded ~ $0.02) ↓ 64.5% cheaper ↓ 98.3% cheaper
#11 Grok 4.3
xAI
 $0.018438 (rounded ~ $0.02) ↓ 62.2% cheaper ↓ 98.2% cheaper
#12 Gemini 3.5 Flash
Google
 $0.025125 (rounded ~ $0.03) ↓ 48.5% cheaper ↓ 97.5% cheaper
#13 Grok 4.20 Beta
xAI
 $0.030500 ↓ 37.4% cheaper ↓ 97% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 36.3% cheaper ↓ 96.9% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) ↓ 36.3% cheaper ↓ 96.9% cheaper
#16 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↓ 9% cheaper ↓ 95.6% cheaper
#17 Gemini 3.1 Pro
Google
 $0.067000 (rounded ~ $0.07) ↑ 37.4% more ↓ 93.3% cheaper
#18 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↓ 91.9% cheaper
#19 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↓ 91.9% cheaper
#20 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 66.7% more ↓ 91.9% cheaper
#21 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more ↓ 91.7% cheaper
#22 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more ↓ 91.7% cheaper
#23 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 71.8% more ↓ 91.7% cheaper
#24 o3 Deep Research
OpenAI
 $0.157500 (rounded ~ $0.16) ↑ 223.1% more ↓ 84.3% cheaper
#25 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 243.6% more ↓ 83.3% cheaper
#26 o3 Pro
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 546.2% more ↓ 68.7% cheaper
#27 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 664.6% more ↓ 62.9% cheaper
#28 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 664.6% more ↓ 62.9% cheaper
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Claude Sonnet 4.6: ↓ 96.9%
vs GPT-5.4 Pro: ↓ 99.8%
🥈

Grok Code Fast 1
xAI

$0.003500
vs Claude Sonnet 4.6: ↓ 92.8%
vs GPT-5.4 Pro: ↓ 99.7%
🥉

Gemini 3.1 Flash Lite
Google

$0.004188
vs Claude Sonnet 4.6: ↓ 91.4%
vs GPT-5.4 Pro: ↓ 99.6%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 89%
vs GPT-5.4 Pro: ↓ 99.5%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 84.4%
vs GPT-5.4 Pro: ↓ 99.2%
#6

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 74.2%
vs GPT-5.4 Pro: ↓ 98.8%
#7

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 67.7%
vs GPT-5.4 Pro: ↓ 98.4%
#8

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.7%
vs GPT-5.4 Pro: ↓ 98.4%
#9

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 65.6%
vs GPT-5.4 Pro: ↓ 98.3%
#10

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 64.5%
vs GPT-5.4 Pro: ↓ 98.3%
#11

Grok 4.3
xAI

$0.018438 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 62.2%
vs GPT-5.4 Pro: ↓ 98.2%
#12

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 48.5%
vs GPT-5.4 Pro: ↓ 97.5%
#13

Grok 4.20 Beta
xAI

$0.030500
vs Claude Sonnet 4.6: ↓ 37.4%
vs GPT-5.4 Pro: ↓ 97%
#14

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.3%
vs GPT-5.4 Pro: ↓ 96.9%
#15

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 36.3%
vs GPT-5.4 Pro: ↓ 96.9%
#16

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 9%
vs GPT-5.4 Pro: ↓ 95.6%
#17

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↑ 37.4%
vs GPT-5.4 Pro: ↓ 93.3%
#18

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 Pro: ↓ 91.9%
#19

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 Pro: ↓ 91.9%
#20

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs GPT-5.4 Pro: ↓ 91.9%
#21

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
vs GPT-5.4 Pro: ↓ 91.7%
#22

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
vs GPT-5.4 Pro: ↓ 91.7%
#23

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 71.8%
vs GPT-5.4 Pro: ↓ 91.7%
#24

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Claude Sonnet 4.6: ↑ 223.1%
vs GPT-5.4 Pro: ↓ 84.3%
#25

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Sonnet 4.6: ↑ 243.6%
vs GPT-5.4 Pro: ↓ 83.3%
#26

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Claude Sonnet 4.6: ↑ 546.2%
vs GPT-5.4 Pro: ↓ 68.7%
#27

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 664.6%
vs GPT-5.4 Pro: ↓ 62.9%
#28

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 664.6%
vs GPT-5.4 Pro: ↓ 62.9%
✨ 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.

Choosing the Right Model for Clinical Documentation

For a startup building clinical note generation tools, accuracy in medical terminology and the ability to maintain a consistent, structured output format like SOAP (Subjective, Objective, Assessment, Plan) is non-negotiable. Both Claude Sonnet 4.6 and GPT-5.4 Pro offer high-level reasoning capabilities, but their performance nuances can impact your downstream workflow.

Claude Sonnet 4.6 excels at handling complex, multi-step instructions without deviating from the required clinical schema. Its tendency toward high adherence to structured formatting makes it a reliable choice when your pipeline requires strictly valid JSON or specific medical templates. It is particularly effective when the dictated notes are nuanced or require synthesizing patient history across several previous entries.

GPT-5.4 Pro often demonstrates a slight advantage in reasoning depth for complex diagnostic scenarios, which can be beneficial if your application provides automated suggestions for coding or risk stratification. However, this extra reasoning depth can occasionally introduce verbosity that requires stricter prompt engineering to trim down. The decision between these two often comes down to your primary bottleneck: if you need strict schema adherence and consistent summarization for high-volume note generation, Sonnet 4.6 is a strong candidate. If your pipeline relies on the model to perform clinical inference or handle edge-case diagnostic reasoning, GPT-5.4 Pro may be the superior long-term investment. Both models are capable of managing 100K tokens per request, allowing for rich, context-aware summarization of long patient encounters.

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.