Clinical Note Generation: Claude Sonnet 4.6 vs o4-mini for 100K-Token Medical Workflows

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5 pricing →  ·  All recent pricing changes

Claude Sonnet 4.6 vs o4-mini
Complete Comparison: 100,000 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 Sonnet 4.6
Anthropic
o4-mini
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.075000 (rounded ~ $0.08)Worst $0.027500 (rounded ~ $0.03)Best
Output Cost $0.003750Worst $0.001100Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.045000 (rounded ~ $0.05) Most Expensive $0.016225 (rounded ~ $0.02) Best Value
Processing Time 3 minutes, 49.11 seconds Fastest 9 minutes, 32.51 seconds Slowest
Tokens per Second 450Fastest 180Slowest
Time to First Token 200ms Best 280ms Worst
Cost per 1K tokens $0.000446Worst $0.000161Best
Tokens per Dollar 2,244,444Worst Value 6,224,961Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.750000Worst $0.275000 (rounded ~ $0.28)Best
Output Cost / 1M (Base) $3.750000Worst $1.100000Best
Input Cost / 1M (Optimized) $0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
$0.137500 (rounded ~ $0.14)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.875000 (rounded ~ $1.88)Worst
Optimizations: 50.0% batch
$0.550000Best
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 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

$0.037500 Input Cost
$0.003750 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
101,000Total Tokens
$0.000446Cost per 1K
2,244,444Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 49s Processing Time
450 Tokens/Second
200ms Time to First Token
441 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

$0.045000 (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) $0.078750 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.003750
Optimized Cost $0.045000 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.003750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 42.9% 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 1,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.003750
  • Total Cost: $0.045000 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000446
  • Tokens per dollar: 2,244,444 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, 49.11 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 4.6 for complex clinical reasoning and long-context synthesis. Use o4-mini for high-volumestructured extraction and routine documentation.

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 →

o4-mini OpenAI

$0.016225 (rounded ~ $0.02)
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) $0.028600 (rounded ~ $0.03) Input: $0.027500 (rounded ~ $0.03)
Output: $0.001100
Optimized Cost $0.016225 (rounded ~ $0.02) Input: $0.027500 (rounded ~ $0.03)
Output: $0.001100
Unit: $0.000000
Fees: $0.000000
Total Savings $0.012375 (rounded ~ $0.01) 43.3% 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 1,000 output tokens:

  • Input Cost: $0.027500 (rounded ~ $0.03)
  • Output Cost: $0.001100
  • Total Cost: $0.016225 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.000161
  • Tokens per dollar: 6,224,961 tokens
  • Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 180 tokens per second and 280ms time to first token:

  • Processing Time: 9 minutes, 32.51 seconds
  • Latency: 280 milliseconds to first token
  • Base Throughput: 180 tokens/second
  • Effective Throughput: 176 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 4.6 for complex clinical reasoning and long-context synthesis. Use o4-mini for high-volumestructured extraction and routine documentation.

Want this applied to YOUR actual stack?

This calculator shows the math for o4-mini. 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: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs o4-mini
🏆 Mistral Small 3
Mistral AI
$0.001450 Best Value ↓ 96.8% cheaper ↓ 91.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.003813 ↓ 91.5% cheaper ↓ 76.5% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.004750 ↓ 89.4% cheaper ↓ 70.7% cheaper
#4 Gemini 2.5 Flash
Google
$0.004750 ↓ 89.4% cheaper ↓ 70.7% cheaper
#5 Mistral Large 3
Mistral AI
$0.007250 (rounded ~ $0.01) ↓ 83.9% cheaper ↓ 55.3% cheaper
#6 Gemini 3.8 Flash
Google
$0.011250 (rounded ~ $0.01) ↓ 75% cheaper ↓ 30.7% cheaper
#7 GPT-5.4 mini
OpenAI
$0.011438 (rounded ~ $0.01) ↓ 74.6% cheaper ↓ 29.5% cheaper
#8 o4-mini Deep Research
OpenAI
$0.014750 (rounded ~ $0.01) ↓ 67.2% cheaper ↓ 9.1% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.015000 (rounded ~ $0.02) ↓ 66.7% cheaper ↓ 7.6% cheaper
#10 Gemini 3.1 Flash
Google
$0.015250 (rounded ~ $0.02) ↓ 66.1% cheaper ↓ 6% cheaper
#11 GPT-5.6 Luna
OpenAI
$0.015250 (rounded ~ $0.02) ↓ 66.1% cheaper ↓ 6% cheaper
#12 o4-mini
OpenAI
$0.016225 (rounded ~ $0.02) ↓ 63.9% cheaper Same price
#13 Gemini 3.6 Flash
Google
$0.022500 (rounded ~ $0.02) ↓ 50% cheaper ↑ 38.7% more
#14 Gemini 3.5 Flash
Google
$0.022875 (rounded ~ $0.02) ↓ 49.2% cheaper ↑ 41% more
#15 GPT-5.3 Codex Spark
OpenAI
$0.027563 (rounded ~ $0.03) ↓ 38.8% cheaper ↑ 69.9% more
#16 GPT-5.3 Instant
OpenAI
$0.027563 (rounded ~ $0.03) ↓ 38.8% cheaper ↑ 69.9% more
#17 Claude Sonnet 5
Anthropic
$0.030000 ↓ 33.3% cheaper ↑ 84.9% more
#18 GPT-5.6 Terra
OpenAI
$0.038125 (rounded ~ $0.04) ↓ 15.3% cheaper ↑ 135% more
#19 Gemini 2.5 Pro
Google
$0.039375 ↓ 12.5% cheaper ↑ 142.7% more
#20 Grok 4.3
xAI
$0.057000 (rounded ~ $0.06) ↑ 26.7% more ↑ 251.3% more
#21 Grok 4.20 Beta
xAI
$0.057000 (rounded ~ $0.06) ↑ 26.7% more ↑ 251.3% more
#22 Gemini 3.1 Pro
Google
$0.061000 (rounded ~ $0.06) ↑ 35.6% more ↑ 276% more
#23 Claude Opus 4.7
Anthropic
$0.075000 (rounded ~ $0.08) ↑ 66.7% more ↑ 362.2% more
#24 Claude Opus 5
Anthropic
$0.075000 (rounded ~ $0.08) ↑ 66.7% more ↑ 362.2% more
#25 Claude Opus 4.8
Anthropic
$0.075000 (rounded ~ $0.08) ↑ 66.7% more ↑ 362.2% more
#26 Claude Opus 4.6
Anthropic
$0.075000 (rounded ~ $0.08) ↑ 66.7% more ↑ 362.2% more
#27 GPT-5.4
OpenAI
$0.076250 (rounded ~ $0.08) ↑ 69.4% more ↑ 370% more
#28 GPT-5.4 Thinking
OpenAI
$0.076250 (rounded ~ $0.08) ↑ 69.4% more ↑ 370% more
#29 GPT-5.5 Instant
OpenAI
$0.076250 (rounded ~ $0.08) ↑ 69.4% more ↑ 370% more
#30 GPT-5.6 Sol
OpenAI
$0.076250 (rounded ~ $0.08) ↑ 69.4% more ↑ 370% more
#31 Claude Fable 5.1
Anthropic
$0.140625 ↑ 212.5% more ↑ 766.7% more
#32 Claude Mythos 5.1
Anthropic
$0.140625 ↑ 212.5% more ↑ 766.7% more
#33 o3 Deep Research
OpenAI
$0.147500 (rounded ~ $0.15) ↑ 227.8% more ↑ 809.1% more
#34 Claude Fable 5
Anthropic
$0.150000 ↑ 233.3% more ↑ 824.5% more
#35 Claude Mythos 5
Anthropic
$0.150000 ↑ 233.3% more ↑ 824.5% more
#36 GPT-5.5
OpenAI
$0.152500 (rounded ~ $0.15) ↑ 238.9% more ↑ 839.9% more
#37 o3 Pro
OpenAI
$0.295000 (rounded ~ $0.30) ↑ 555.6% more ↑ 1718.2% more
#38 GPT-6 Astra
OpenAI
$0.300000 ↑ 566.7% more ↑ 1749% more
#39 GPT-5.2 Pro
OpenAI
$0.330750 ↑ 635% more ↑ 1938.5% more
#40 GPT-5.2 Pro
OpenAI
$0.330750 ↑ 635% more ↑ 1938.5% more
🏆

Mistral Small 3
Mistral AI

$0.001450
vs Claude Sonnet 4.6: ↓ 96.8%
vs o4-mini: ↓ 91.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.003813
vs Claude Sonnet 4.6: ↓ 91.5%
vs o4-mini: ↓ 76.5%
🥉

Gemini 3.5 Flash-Lite
Google

$0.004750
vs Claude Sonnet 4.6: ↓ 89.4%
vs o4-mini: ↓ 70.7%
#4

Gemini 2.5 Flash
Google

$0.004750
vs Claude Sonnet 4.6: ↓ 89.4%
vs o4-mini: ↓ 70.7%
#5

Mistral Large 3
Mistral AI

$0.007250 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 83.9%
vs o4-mini: ↓ 55.3%
#6

Gemini 3.8 Flash
Google

$0.011250 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 75%
vs o4-mini: ↓ 30.7%
#7

GPT-5.4 mini
OpenAI

$0.011438 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 74.6%
vs o4-mini: ↓ 29.5%
#8

o4-mini Deep Research
OpenAI

$0.014750 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 67.2%
vs o4-mini: ↓ 9.1%
#9

Claude Haiku 4.5
Anthropic

$0.015000 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.7%
vs o4-mini: ↓ 7.6%
#10

Gemini 3.1 Flash
Google

$0.015250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.1%
vs o4-mini: ↓ 6%
#11

GPT-5.6 Luna
OpenAI

$0.015250 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 66.1%
vs o4-mini: ↓ 6%
#12

o4-mini
OpenAI

$0.016225 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 63.9%
vs o4-mini: Same
#13

Gemini 3.6 Flash
Google

$0.022500 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 50%
vs o4-mini: ↑ 38.7%
#14

Gemini 3.5 Flash
Google

$0.022875 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 49.2%
vs o4-mini: ↑ 41%
#15

GPT-5.3 Codex Spark
OpenAI

$0.027563 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 38.8%
vs o4-mini: ↑ 69.9%
#16

GPT-5.3 Instant
OpenAI

$0.027563 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 38.8%
vs o4-mini: ↑ 69.9%
#17

Claude Sonnet 5
Anthropic

$0.030000
vs Claude Sonnet 4.6: ↓ 33.3%
vs o4-mini: ↑ 84.9%
#18

GPT-5.6 Terra
OpenAI

$0.038125 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 15.3%
vs o4-mini: ↑ 135%
#19

Gemini 2.5 Pro
Google

$0.039375
vs Claude Sonnet 4.6: ↓ 12.5%
vs o4-mini: ↑ 142.7%
#20

Grok 4.3
xAI

$0.057000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 26.7%
vs o4-mini: ↑ 251.3%
#21

Grok 4.20 Beta
xAI

$0.057000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 26.7%
vs o4-mini: ↑ 251.3%
#22

Gemini 3.1 Pro
Google

$0.061000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 35.6%
vs o4-mini: ↑ 276%
#23

Claude Opus 4.7
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs o4-mini: ↑ 362.2%
#24

Claude Opus 5
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs o4-mini: ↑ 362.2%
#25

Claude Opus 4.8
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs o4-mini: ↑ 362.2%
#26

Claude Opus 4.6
Anthropic

$0.075000 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 66.7%
vs o4-mini: ↑ 362.2%
#27

GPT-5.4
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
vs o4-mini: ↑ 370%
#28

GPT-5.4 Thinking
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
vs o4-mini: ↑ 370%
#29

GPT-5.5 Instant
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
vs o4-mini: ↑ 370%
#30

GPT-5.6 Sol
OpenAI

$0.076250 (rounded ~ $0.08)
vs Claude Sonnet 4.6: ↑ 69.4%
vs o4-mini: ↑ 370%
#31

Claude Fable 5.1
Anthropic

$0.140625
vs Claude Sonnet 4.6: ↑ 212.5%
vs o4-mini: ↑ 766.7%
#32

Claude Mythos 5.1
Anthropic

$0.140625
vs Claude Sonnet 4.6: ↑ 212.5%
vs o4-mini: ↑ 766.7%
#33

o3 Deep Research
OpenAI

$0.147500 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 227.8%
vs o4-mini: ↑ 809.1%
#34

Claude Fable 5
Anthropic

$0.150000
vs Claude Sonnet 4.6: ↑ 233.3%
vs o4-mini: ↑ 824.5%
#35

Claude Mythos 5
Anthropic

$0.150000
vs Claude Sonnet 4.6: ↑ 233.3%
vs o4-mini: ↑ 824.5%
#36

GPT-5.5
OpenAI

$0.152500 (rounded ~ $0.15)
vs Claude Sonnet 4.6: ↑ 238.9%
vs o4-mini: ↑ 839.9%
#37

o3 Pro
OpenAI

$0.295000 (rounded ~ $0.30)
vs Claude Sonnet 4.6: ↑ 555.6%
vs o4-mini: ↑ 1718.2%
#38

GPT-6 Astra
OpenAI

$0.300000
vs Claude Sonnet 4.6: ↑ 566.7%
vs o4-mini: ↑ 1749%
#39

GPT-5.2 Pro
OpenAI

$0.330750
vs Claude Sonnet 4.6: ↑ 635%
vs o4-mini: ↑ 1938.5%
#40

GPT-5.2 Pro
OpenAI

$0.330750
vs Claude Sonnet 4.6: ↑ 635%
vs o4-mini: ↑ 1938.5%
✨ 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.

Clinical note generation requires balancing deep medical reasoning with operational efficiency. For engineering teams, the choice between Claude Sonnet 4.6 and o4-mini often comes down to the specific nature of your clinical pipeline—whether you prioritize complex multi-step synthesis or rapid, high-volume extraction. Claude Sonnet 4.6 excels when the workload involves nuanced clinical reasoning, such as synthesizing patient history across scattered records or drafting nuanced encounter summaries. Its adaptive thinking engine allows the model to scale its reasoning depth, which is particularly valuable when processing messy, unstructured medical logs where accuracy is paramount to clinician trust. The model’s large context window enables it to hold long-term patient records in memory, facilitating consistent documentation over time.

Conversely, o4-mini is optimized for high-speed, cost-efficient reasoning. It shines in pipelines where the structure of the clinical note is relatively consistent, such as standard progress notes or routine procedure documentation. Its ability to perform structured output generation makes it a strong candidate for backend automation where you need to parse large volumes of data into specific EHR fields. While it may lack the depth of Sonnet for highly complex, multi-modal clinical diagnostic reasoning, it significantly reduces latency in high-throughput environments. For teams scaling their medical documentation tools, we often recommend starting with o4-mini for routine templated tasks and reserving Claude Sonnet 4.6 for specialized encounters that demand sophisticated analytical depth and clinical precision.

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.