100K Tokens for Contract Review: Claude Sonnet 5 vs GPT-5.4

Claude Sonnet 5 vs GPT-5.4
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 5
Anthropic
GPT-5.4
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.050000Best $0.125000 (rounded ~ $0.13)Worst
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 $0.032500 (rounded ~ $0.03) Best Value $0.083750 (rounded ~ $0.08) Most Expensive
Processing Time 3 minutes, 46.35 seconds Fastest 4 minutes, 7.89 seconds Slowest
Tokens per Second 460Fastest 420Slowest
Time to First Token 195ms Best 210ms Worst
Cost per 1K tokens $0.000319Best $0.000821Worst
Tokens per Dollar 3,138,462Best Value 1,217,910Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.500000Best $1.250000Worst
Output Cost / 1M (Base) $2.500000Best $7.500000Worst
Input Cost / 1M (Optimized) $0.250000Best
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Worst
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
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Claude Sonnet 5
AnthropicMax Context: 1,000,000 tokens
$2 / $10 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

$0.025000 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
102,000Total Tokens
$0.000319Cost per 1K
3,138,462Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

3m 46s Processing Time
460 Tokens/Second
195ms Time to First Token
451 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 5 Anthropic 1000000

$0.032500 (rounded ~ $0.03)
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) $0.055000 (rounded ~ $0.06) Input: $0.050000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.032500 (rounded ~ $0.03) Input: $0.050000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.022500 (rounded ~ $0.02) 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: $0.050000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.032500 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000319
  • Tokens per dollar: 3,138,462 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 460 tokens per second and 195ms time to first token:

  • Processing Time: 3 minutes, 46.35 seconds
  • Latency: 195 milliseconds to first token
  • Base Throughput: 460 tokens/second
  • Effective Throughput: 451 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5 for structured extraction and GPT-5.4 for agenticmulti-step contract analysis pipelines.

Want this applied to YOUR actual stack?

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

$0.083750 (rounded ~ $0.08)
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) $0.140000 Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $0.083750 (rounded ~ $0.08) Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.056250 (rounded ~ $0.06) 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: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $0.083750 (rounded ~ $0.08)
  • Cost per 1K tokens: $0.000821
  • Tokens per dollar: 1,217,910 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 4 minutes, 7.89 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 412 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5 for structured extraction and GPT-5.4 for agenticmulti-step contract analysis pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. 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
📋 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 5 vs GPT-5.4
🏆 Mistral Small 3
Mistral AI
$0.001525 Best Value ↓ 95.3% cheaper ↓ 98.2% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.004188 ↓ 87.1% cheaper ↓ 95% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.005375 (rounded ~ $0.01) ↓ 83.5% cheaper ↓ 93.6% cheaper
#4 Gemini 2.5 Flash
Google
$0.005375 (rounded ~ $0.01) ↓ 83.5% cheaper ↓ 93.6% cheaper
#5 Mistral Large 3
Mistral AI
$0.007625 (rounded ~ $0.01) ↓ 76.5% cheaper ↓ 90.9% cheaper
#6 Gemini 3.8 Flash
Google
$0.012188 (rounded ~ $0.01) ↓ 62.5% cheaper ↓ 85.4% cheaper
#7 GPT-5.4 mini
OpenAI
$0.012563 (rounded ~ $0.01) ↓ 61.3% cheaper ↓ 85% cheaper
#8 o4-mini Deep Research
OpenAI
$0.015750 (rounded ~ $0.02) ↓ 51.5% cheaper ↓ 81.2% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.016250 (rounded ~ $0.02) ↓ 50% cheaper ↓ 80.6% cheaper
#10 Gemini 3.1 Flash
Google
$0.016750 (rounded ~ $0.02) ↓ 48.5% cheaper ↓ 80% cheaper
#11 GPT-5.6 Luna
OpenAI
$0.016750 (rounded ~ $0.02) ↓ 48.5% cheaper ↓ 80% cheaper
#12 o4-mini
OpenAI
$0.017325 (rounded ~ $0.02) ↓ 46.7% cheaper ↓ 79.3% cheaper
#13 Gemini 3.6 Flash
Google
$0.024375 (rounded ~ $0.02) ↓ 25% cheaper ↓ 70.9% cheaper
#14 Gemini 3.5 Flash
Google
$0.025125 (rounded ~ $0.03) ↓ 22.7% cheaper ↓ 70% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
$0.031063 (rounded ~ $0.03) ↓ 4.4% cheaper ↓ 62.9% cheaper
#16 GPT-5.3 Instant
OpenAI
$0.031063 (rounded ~ $0.03) ↓ 4.4% cheaper ↓ 62.9% cheaper
#17 GPT-5.6 Terra
OpenAI
$0.041875 (rounded ~ $0.04) ↑ 28.8% more ↓ 50% cheaper
#18 Gemini 2.5 Pro
Google
$0.044375 (rounded ~ $0.04) ↑ 36.5% more ↓ 47% cheaper
#19 Claude Sonnet 4.6
Anthropic
$0.048750 (rounded ~ $0.05) ↑ 50% more ↓ 41.8% cheaper
#20 Grok 4.3
xAI
$0.059000 (rounded ~ $0.06) ↑ 81.5% more ↓ 29.6% cheaper
#21 Grok 4.20 Beta
xAI
$0.059000 (rounded ~ $0.06) ↑ 81.5% more ↓ 29.6% cheaper
#22 Gemini 3.1 Pro
Google
$0.067000 (rounded ~ $0.07) ↑ 106.2% more ↓ 20% cheaper
#23 Claude Opus 4.7
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 150% more ↓ 3% cheaper
#24 Claude Opus 5
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 150% more ↓ 3% cheaper
#25 Claude Opus 4.8
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 150% more ↓ 3% cheaper
#26 Claude Opus 4.6
Anthropic
$0.081250 (rounded ~ $0.08) ↑ 150% more ↓ 3% cheaper
#27 GPT-5.4
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 157.7% more Same price
#28 GPT-5.4 Thinking
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 157.7% more Same price
#29 GPT-5.5 Instant
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 157.7% more Same price
#30 GPT-5.6 Sol
OpenAI
$0.083750 (rounded ~ $0.08) ↑ 157.7% more Same price
#31 Claude Fable 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 371.2% more ↑ 82.8% more
#32 Claude Mythos 5.1
Anthropic
$0.153125 (rounded ~ $0.15) ↑ 371.2% more ↑ 82.8% more
#33 o3 Deep Research
OpenAI
$0.157500 (rounded ~ $0.16) ↑ 384.6% more ↑ 88.1% more
#34 Claude Fable 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 400% more ↑ 94% more
#35 Claude Mythos 5
Anthropic
$0.162500 (rounded ~ $0.16) ↑ 400% more ↑ 94% more
#36 GPT-5.5
OpenAI
$0.167500 (rounded ~ $0.17) ↑ 415.4% more ↑ 100% more
#37 o3 Pro
OpenAI
$0.315000 (rounded ~ $0.32) ↑ 869.2% more ↑ 276.1% more
#38 GPT-6 Astra
OpenAI
$0.325000 (rounded ~ $0.33) ↑ 900% more ↑ 288.1% more
#39 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 1046.9% more ↑ 345.1% more
#40 GPT-5.2 Pro
OpenAI
$0.372750 (rounded ~ $0.37) ↑ 1046.9% more ↑ 345.1% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs Claude Sonnet 5: ↓ 95.3%
vs GPT-5.4: ↓ 98.2%
🥈

Gemini 3.1 Flash Lite
Google

$0.004188
vs Claude Sonnet 5: ↓ 87.1%
vs GPT-5.4: ↓ 95%
🥉

Gemini 3.5 Flash-Lite
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 83.5%
vs GPT-5.4: ↓ 93.6%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 83.5%
vs GPT-5.4: ↓ 93.6%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 76.5%
vs GPT-5.4: ↓ 90.9%
#6

Gemini 3.8 Flash
Google

$0.012188 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 62.5%
vs GPT-5.4: ↓ 85.4%
#7

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs Claude Sonnet 5: ↓ 61.3%
vs GPT-5.4: ↓ 85%
#8

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 51.5%
vs GPT-5.4: ↓ 81.2%
#9

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 50%
vs GPT-5.4: ↓ 80.6%
#10

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 48.5%
vs GPT-5.4: ↓ 80%
#11

GPT-5.6 Luna
OpenAI

$0.016750 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 48.5%
vs GPT-5.4: ↓ 80%
#12

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 46.7%
vs GPT-5.4: ↓ 79.3%
#13

Gemini 3.6 Flash
Google

$0.024375 (rounded ~ $0.02)
vs Claude Sonnet 5: ↓ 25%
vs GPT-5.4: ↓ 70.9%
#14

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs Claude Sonnet 5: ↓ 22.7%
vs GPT-5.4: ↓ 70%
#15

GPT-5.3 Codex Spark
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 5: ↓ 4.4%
vs GPT-5.4: ↓ 62.9%
#16

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs Claude Sonnet 5: ↓ 4.4%
vs GPT-5.4: ↓ 62.9%
#17

GPT-5.6 Terra
OpenAI

$0.041875 (rounded ~ $0.04)
vs Claude Sonnet 5: ↑ 28.8%
vs GPT-5.4: ↓ 50%
#18

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs Claude Sonnet 5: ↑ 36.5%
vs GPT-5.4: ↓ 47%
#19

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs Claude Sonnet 5: ↑ 50%
vs GPT-5.4: ↓ 41.8%
#20

Grok 4.3
xAI

$0.059000 (rounded ~ $0.06)
vs Claude Sonnet 5: ↑ 81.5%
vs GPT-5.4: ↓ 29.6%
#21

Grok 4.20 Beta
xAI

$0.059000 (rounded ~ $0.06)
vs Claude Sonnet 5: ↑ 81.5%
vs GPT-5.4: ↓ 29.6%
#22

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs Claude Sonnet 5: ↑ 106.2%
vs GPT-5.4: ↓ 20%
#23

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 150%
vs GPT-5.4: ↓ 3%
#24

Claude Opus 5
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 150%
vs GPT-5.4: ↓ 3%
#25

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 150%
vs GPT-5.4: ↓ 3%
#26

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 150%
vs GPT-5.4: ↓ 3%
#27

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 157.7%
vs GPT-5.4: Same
#28

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 157.7%
vs GPT-5.4: Same
#29

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 157.7%
vs GPT-5.4: Same
#30

GPT-5.6 Sol
OpenAI

$0.083750 (rounded ~ $0.08)
vs Claude Sonnet 5: ↑ 157.7%
vs GPT-5.4: Same
#31

Claude Fable 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 371.2%
vs GPT-5.4: ↑ 82.8%
#32

Claude Mythos 5.1
Anthropic

$0.153125 (rounded ~ $0.15)
vs Claude Sonnet 5: ↑ 371.2%
vs GPT-5.4: ↑ 82.8%
#33

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs Claude Sonnet 5: ↑ 384.6%
vs GPT-5.4: ↑ 88.1%
#34

Claude Fable 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 5: ↑ 400%
vs GPT-5.4: ↑ 94%
#35

Claude Mythos 5
Anthropic

$0.162500 (rounded ~ $0.16)
vs Claude Sonnet 5: ↑ 400%
vs GPT-5.4: ↑ 94%
#36

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs Claude Sonnet 5: ↑ 415.4%
vs GPT-5.4: ↑ 100%
#37

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs Claude Sonnet 5: ↑ 869.2%
vs GPT-5.4: ↑ 276.1%
#38

GPT-6 Astra
OpenAI

$0.325000 (rounded ~ $0.33)
vs Claude Sonnet 5: ↑ 900%
vs GPT-5.4: ↑ 288.1%
#39

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 5: ↑ 1046.9%
vs GPT-5.4: ↑ 345.1%
#40

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs Claude Sonnet 5: ↑ 1046.9%
vs GPT-5.4: ↑ 345.1%
✨ 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 Contract Extraction

For legal engineers tasked with extracting specific clauses—such as termination, liability, or governing law—from 50-page contracts, the choice between Claude Sonnet 5 and GPT-5.4 often comes down to the specific nature of your agentic workflow. Both models excel at structured data extraction, but they behave differently under complex, multi-step instructions.

Claude Sonnet 5 is widely regarded as a balanced production model. Its primary strength lies in its ability to follow long-form instruction sets while maintaining a high degree of fidelity to the source document. It is particularly effective at generating clean, structured JSON outputs, which is critical for downstream pipeline integration in legal tech stacks. When reviewing a 100K-token batch, Sonnet 5 tends to be more concise, which can reduce output overhead without sacrificing the nuance required for legal interpretation.

GPT-5.4, conversely, offers deeper agentic capabilities. If your contract review pipeline requires more than just extraction—such as automatically running a script to verify dates, calculating liability caps, or navigating internal document management systems via tool calls—GPT-5.4 is the stronger candidate. Its reasoning effort is configurable, allowing you to scale up depth for high-stakes documents that require cross-referencing multiple exhibits. For a legal engineer, the trade-off is often between Sonnet 5’s efficient, instruction-following consistency and GPT-5.4’s versatility in multi-step analytical workflows. Start by benchmarking both on your most difficult contract templates to see which model handles your specific legal playbook requirements more consistently.

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.