Claude Opus 4.7 vs GPT-5.4 Pro: 100K-Token Per-Request Scaling for 100M Monthly A/B Testing Pipelines

Claude Opus 4.7 has been replaced by Claude Opus 5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 Opus 5 pricing →  ·  All recent pricing changes

Claude Opus 4.7 vs GPT-5.4 Pro
Complete Comparison: 100,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
GPT-5.4 Pro
OpenAI
Calculation Results (Current Inputs) (60% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13)Best $1.500000Worst
Output Cost $0.012500 (rounded ~ $0.01)Best $0.180000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.070000 Best Value $0.870000 Most Expensive
Processing Time 6 minutes, 59.95 seconds Slowest 5 minutes, 12.01 seconds Fastest
Tokens per Second 260Slowest 350Fastest
Time to First Token 400ms Worst 250ms Best
Cost per 1K tokens $0.000686Best $0.008529 (rounded ~ $0.01)Worst
Tokens per Dollar 1,457,143Best Value 117,241Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $15.000000Worst
Output Cost / 1M (Base) $6.250000Best $90.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$7.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$45.000000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
60
✓ 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 Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
Use Batch API (50% discount)
60%
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

$0.050000 Input Cost
$0.012500 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
$0.000686Cost per 1K
1,457,143Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6m 59s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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 Opus 4.7 Anthropic 1000000

$0.070000
Total Cost
⚡ 60% 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) $0.137500 (rounded ~ $0.14) Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.070000 Input: $0.125000 (rounded ~ $0.13)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.067500 (rounded ~ $0.07) 49.1% 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: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.070000
  • Cost per 1K tokens: $0.000686
  • Tokens per dollar: 1,457,143 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

  • Processing Time: 6 minutes, 59.95 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for creativebrand-sensitive copywriting and GPT-5.4 Pro for performance-drivendata-loop A/B testing workflows.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. 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

$0.870000
Total Cost
⚡ 60% 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 $0.870000 Input: $1.500000
Output: $0.180000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.810000 48.2% 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: $0.870000
  • Cost per 1K tokens: $0.008529 (rounded ~ $0.01)
  • Tokens per dollar: 117,241 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, 12.01 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for creativebrand-sensitive copywriting and GPT-5.4 Pro for performance-drivendata-loop A/B testing workflows.

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 Opus 4.7
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.4 Pro
🏆 Mistral Small 3
Mistral AI
$0.001300 Best Value ↓ 98.1% cheaper ↓ 99.9% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.003625 ↓ 94.8% cheaper ↓ 99.6% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.004700 ↓ 93.3% cheaper ↓ 99.5% cheaper
#4 Gemini 2.5 Flash
Google
$0.004700 ↓ 93.3% cheaper ↓ 99.5% cheaper
#5 Mistral Large 3
Mistral AI
$0.006500 (rounded ~ $0.01) ↓ 90.7% cheaper ↓ 99.3% cheaper
#6 Gemini 3.8 Flash
Google
$0.010500 ↓ 85% cheaper ↓ 98.8% cheaper
#7 GPT-5.4 mini
OpenAI
$0.010875 ↓ 84.5% cheaper ↓ 98.8% cheaper
#8 o4-mini Deep Research
OpenAI
$0.013500 (rounded ~ $0.01) ↓ 80.7% cheaper ↓ 98.4% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.014000 (rounded ~ $0.01) ↓ 80% cheaper ↓ 98.4% cheaper
#10 Gemini 3.1 Flash
Google
$0.014500 (rounded ~ $0.01) ↓ 79.3% cheaper ↓ 98.3% cheaper
#11 GPT-5.6 Luna
OpenAI
$0.014500 (rounded ~ $0.01) ↓ 79.3% cheaper ↓ 98.3% cheaper
#12 o4-mini
OpenAI
$0.014850 (rounded ~ $0.01) ↓ 78.8% cheaper ↓ 98.3% cheaper
#13 Gemini 3.6 Flash
Google
$0.021000 (rounded ~ $0.02) ↓ 70% cheaper ↓ 97.6% cheaper
#14 Gemini 3.5 Flash
Google
$0.021750 (rounded ~ $0.02) ↓ 68.9% cheaper ↓ 97.5% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
$0.027125 (rounded ~ $0.03) ↓ 61.3% cheaper ↓ 96.9% cheaper
#16 GPT-5.3 Instant
OpenAI
$0.027125 (rounded ~ $0.03) ↓ 61.3% cheaper ↓ 96.9% cheaper
#17 Claude Sonnet 5
Anthropic
$0.028000 (rounded ~ $0.03) ↓ 60% cheaper ↓ 96.8% cheaper
#18 GPT-5.6 Terra
OpenAI
$0.036250 (rounded ~ $0.04) ↓ 48.2% cheaper ↓ 95.8% cheaper
#19 Gemini 2.5 Pro
Google
$0.038750 (rounded ~ $0.04) ↓ 44.6% cheaper ↓ 95.5% cheaper
#20 Claude Sonnet 4.6
Anthropic
$0.042000 (rounded ~ $0.04) ↓ 40% cheaper ↓ 95.2% cheaper
#21 Grok 4.3
xAI
$0.050000 ↓ 28.6% cheaper ↓ 94.3% cheaper
#22 Grok 4.20 Beta
xAI
$0.050000 ↓ 28.6% cheaper ↓ 94.3% cheaper
#23 Gemini 3.1 Pro
Google
$0.058000 (rounded ~ $0.06) ↓ 17.1% cheaper ↓ 93.3% cheaper
#24 Claude Opus 5
Anthropic
$0.070000 Same price ↓ 92% cheaper
#25 Claude Opus 4.8
Anthropic
$0.070000 Same price ↓ 92% cheaper
#26 Claude Opus 4.6
Anthropic
$0.070000 Same price ↓ 92% cheaper
#27 GPT-5.4
OpenAI
$0.072500 (rounded ~ $0.07) ↑ 3.6% more ↓ 91.7% cheaper
#28 GPT-5.4 Thinking
OpenAI
$0.072500 (rounded ~ $0.07) ↑ 3.6% more ↓ 91.7% cheaper
#29 GPT-5.5 Instant
OpenAI
$0.072500 (rounded ~ $0.07) ↑ 3.6% more ↓ 91.7% cheaper
#30 GPT-5.6 Sol
OpenAI
$0.072500 (rounded ~ $0.07) ↑ 3.6% more ↓ 91.7% cheaper
#31 Claude Fable 5.1
Anthropic
$0.128750 (rounded ~ $0.13) ↑ 83.9% more ↓ 85.2% cheaper
#32 Claude Mythos 5.1
Anthropic
$0.128750 (rounded ~ $0.13) ↑ 83.9% more ↓ 85.2% cheaper
#33 o3 Deep Research
OpenAI
$0.135000 (rounded ~ $0.14) ↑ 92.9% more ↓ 84.5% cheaper
#34 Claude Fable 5
Anthropic
$0.140000 ↑ 100% more ↓ 83.9% cheaper
#35 Claude Mythos 5
Anthropic
$0.140000 ↑ 100% more ↓ 83.9% cheaper
#36 GPT-5.5
OpenAI
$0.145000 (rounded ~ $0.15) ↑ 107.1% more ↓ 83.3% cheaper
#37 o3 Pro
OpenAI
$0.270000 ↑ 285.7% more ↓ 69% cheaper
#38 GPT-6 Astra
OpenAI
$0.280000 ↑ 300% more ↓ 67.8% cheaper
#39 GPT-5.2 Pro
OpenAI
$0.325500 (rounded ~ $0.33) ↑ 365% more ↓ 62.6% cheaper
#40 GPT-5.2 Pro
OpenAI
$0.325500 (rounded ~ $0.33) ↑ 365% more ↓ 62.6% cheaper
🏆

Mistral Small 3
Mistral AI

$0.001300
vs Claude Opus 4.7: ↓ 98.1%
vs GPT-5.4 Pro: ↓ 99.9%
🥈

Gemini 3.1 Flash Lite
Google

$0.003625
vs Claude Opus 4.7: ↓ 94.8%
vs GPT-5.4 Pro: ↓ 99.6%
🥉

Gemini 3.5 Flash-Lite
Google

$0.004700
vs Claude Opus 4.7: ↓ 93.3%
vs GPT-5.4 Pro: ↓ 99.5%
#4

Gemini 2.5 Flash
Google

$0.004700
vs Claude Opus 4.7: ↓ 93.3%
vs GPT-5.4 Pro: ↓ 99.5%
#5

Mistral Large 3
Mistral AI

$0.006500 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 90.7%
vs GPT-5.4 Pro: ↓ 99.3%
#6

Gemini 3.8 Flash
Google

$0.010500
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.4 Pro: ↓ 98.8%
#7

GPT-5.4 mini
OpenAI

$0.010875
vs Claude Opus 4.7: ↓ 84.5%
vs GPT-5.4 Pro: ↓ 98.8%
#8

o4-mini Deep Research
OpenAI

$0.013500 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 80.7%
vs GPT-5.4 Pro: ↓ 98.4%
#9

Claude Haiku 4.5
Anthropic

$0.014000 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 80%
vs GPT-5.4 Pro: ↓ 98.4%
#10

Gemini 3.1 Flash
Google

$0.014500 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 79.3%
vs GPT-5.4 Pro: ↓ 98.3%
#11

GPT-5.6 Luna
OpenAI

$0.014500 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 79.3%
vs GPT-5.4 Pro: ↓ 98.3%
#12

o4-mini
OpenAI

$0.014850 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 78.8%
vs GPT-5.4 Pro: ↓ 98.3%
#13

Gemini 3.6 Flash
Google

$0.021000 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.4 Pro: ↓ 97.6%
#14

Gemini 3.5 Flash
Google

$0.021750 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 68.9%
vs GPT-5.4 Pro: ↓ 97.5%
#15

GPT-5.3 Codex Spark
OpenAI

$0.027125 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 61.3%
vs GPT-5.4 Pro: ↓ 96.9%
#16

GPT-5.3 Instant
OpenAI

$0.027125 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 61.3%
vs GPT-5.4 Pro: ↓ 96.9%
#17

Claude Sonnet 5
Anthropic

$0.028000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 60%
vs GPT-5.4 Pro: ↓ 96.8%
#18

GPT-5.6 Terra
OpenAI

$0.036250 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 48.2%
vs GPT-5.4 Pro: ↓ 95.8%
#19

Gemini 2.5 Pro
Google

$0.038750 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 44.6%
vs GPT-5.4 Pro: ↓ 95.5%
#20

Claude Sonnet 4.6
Anthropic

$0.042000 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.4 Pro: ↓ 95.2%
#21

Grok 4.3
xAI

$0.050000
vs Claude Opus 4.7: ↓ 28.6%
vs GPT-5.4 Pro: ↓ 94.3%
#22

Grok 4.20 Beta
xAI

$0.050000
vs Claude Opus 4.7: ↓ 28.6%
vs GPT-5.4 Pro: ↓ 94.3%
#23

Gemini 3.1 Pro
Google

$0.058000 (rounded ~ $0.06)
vs Claude Opus 4.7: ↓ 17.1%
vs GPT-5.4 Pro: ↓ 93.3%
#24

Claude Opus 5
Anthropic

$0.070000
vs Claude Opus 4.7: Same
vs GPT-5.4 Pro: ↓ 92%
#25

Claude Opus 4.8
Anthropic

$0.070000
vs Claude Opus 4.7: Same
vs GPT-5.4 Pro: ↓ 92%
#26

Claude Opus 4.6
Anthropic

$0.070000
vs Claude Opus 4.7: Same
vs GPT-5.4 Pro: ↓ 92%
#27

GPT-5.4
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Opus 4.7: ↑ 3.6%
vs GPT-5.4 Pro: ↓ 91.7%
#28

GPT-5.4 Thinking
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Opus 4.7: ↑ 3.6%
vs GPT-5.4 Pro: ↓ 91.7%
#29

GPT-5.5 Instant
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Opus 4.7: ↑ 3.6%
vs GPT-5.4 Pro: ↓ 91.7%
#30

GPT-5.6 Sol
OpenAI

$0.072500 (rounded ~ $0.07)
vs Claude Opus 4.7: ↑ 3.6%
vs GPT-5.4 Pro: ↓ 91.7%
#31

Claude Fable 5.1
Anthropic

$0.128750 (rounded ~ $0.13)
vs Claude Opus 4.7: ↑ 83.9%
vs GPT-5.4 Pro: ↓ 85.2%
#32

Claude Mythos 5.1
Anthropic

$0.128750 (rounded ~ $0.13)
vs Claude Opus 4.7: ↑ 83.9%
vs GPT-5.4 Pro: ↓ 85.2%
#33

o3 Deep Research
OpenAI

$0.135000 (rounded ~ $0.14)
vs Claude Opus 4.7: ↑ 92.9%
vs GPT-5.4 Pro: ↓ 84.5%
#34

Claude Fable 5
Anthropic

$0.140000
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.4 Pro: ↓ 83.9%
#35

Claude Mythos 5
Anthropic

$0.140000
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.4 Pro: ↓ 83.9%
#36

GPT-5.5
OpenAI

$0.145000 (rounded ~ $0.15)
vs Claude Opus 4.7: ↑ 107.1%
vs GPT-5.4 Pro: ↓ 83.3%
#37

o3 Pro
OpenAI

$0.270000
vs Claude Opus 4.7: ↑ 285.7%
vs GPT-5.4 Pro: ↓ 69%
#38

GPT-6 Astra
OpenAI

$0.280000
vs Claude Opus 4.7: ↑ 300%
vs GPT-5.4 Pro: ↓ 67.8%
#39

GPT-5.2 Pro
OpenAI

$0.325500 (rounded ~ $0.33)
vs Claude Opus 4.7: ↑ 365%
vs GPT-5.4 Pro: ↓ 62.6%
#40

GPT-5.2 Pro
OpenAI

$0.325500 (rounded ~ $0.33)
vs Claude Opus 4.7: ↑ 365%
vs GPT-5.4 Pro: ↓ 62.6%
✨ 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.

For a AAA game studio managing global marketing campaigns, the bottleneck in A/B testing isn’t just volume—it’s maintaining the brand’s unique narrative voice across thousands of variations. When scaling to 100M tokens monthly, the choice between Claude Opus 4.7 and GPT-5.4 Pro often comes down to the specific nature of your copy optimization.

Claude Opus 4.7 has emerged as a powerhouse for creative nuance. It excels at preserving the subtle, stylistic traits of specific character archetypes, making it the preferred choice when your A/B testing requires strict adherence to distinct brand voices or narrative personas. Its ability to handle complex creative constraints without sounding “robotic” makes it ideal for generating 20+ variations of a single campaign hook that all still feel authentically human and on-brand.

GPT-5.4 Pro, conversely, shines in agentic, data-heavy pipelines. If your marketing automation involves integrating real-time performance data—such as click-through rates or conversion metrics—back into your prompt chain, GPT-5.4 Pro’s advanced reasoning and tool-use capabilities are superior. It is designed to act as a digital coworker that can not only generate copy but analyze why a specific variant is underperforming compared to others, facilitating a self-improving loop.

For enterprise architects, the decision pivots on whether you prioritize stylistic creative fidelity (Claude) or data-driven optimization efficiency (GPT). Both models handle large-scale, high-concurrency requests effectively, but their architectural strengths define the ultimate ROI of your marketing automation pipeline.

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.