GPT-5.5 vs Claude Opus 4.7: 50K-Token Calls for 50M-Monthly Support 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Claude Opus 4.7 has been replaced by Claude Opus 5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

GPT-5.5 vs Claude Opus 4.7
Complete Comparison: 50,000 input tokens × 1,000 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 GPT-5.5
OpenAI
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (60% cached)
Input Tokens 50,000 50,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.125000 (rounded ~ $0.13)Worst $0.062500 (rounded ~ $0.06)Best
Output Cost $0.015000 (rounded ~ $0.02)Worst $0.006250 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.072500 (rounded ~ $0.07) Most Expensive $0.035000 (rounded ~ $0.04) Best Value
Processing Time 2 minutes, 10.11 seconds Fastest 3 minutes, 30.06 seconds Slowest
Tokens per Second 420Fastest 260Slowest
Time to First Token 210ms Best 400ms Worst
Cost per 1K tokens $0.001422Worst $0.000686Best
Tokens per Dollar 703,448Worst Value 1,457,143Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Worst $1.250000Best
Output Cost / 1M (Base) $15.000000Worst $6.250000Best
Input Cost / 1M (Optimized) $1.250000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $7.500000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
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

🔄 Compare Different AI Models

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All other parameters will be preserved from the current comparison.

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Select AI Model

GPT-5.5
OpenAIMax Context: 1,000,000 tokens
$5 / $30 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
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
$0.015000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
51,000Total Tokens
$0.001422Cost per 1K
703,448Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

2m 10s Processing Time
420 Tokens/Second
210ms Time to First Token
393 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.

GPT-5.5 OpenAI 1000000

$0.072500 (rounded ~ $0.07)
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) $0.140000 Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $0.072500 (rounded ~ $0.07) Input: $0.125000 (rounded ~ $0.13)
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.067500 (rounded ~ $0.07) 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 50,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.125000 (rounded ~ $0.13)
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $0.072500 (rounded ~ $0.07)
  • Cost per 1K tokens: $0.001422
  • Tokens per dollar: 703,448 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

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

  • Processing Time: 2 minutes, 10.11 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complexmulti-step customer support agentic workflows and high-context RAG pipelines.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-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.

Get my instant AI audit — $39 →

Claude Opus 4.7 Anthropic 1000000

$0.035000 (rounded ~ $0.04)
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) $0.068750 (rounded ~ $0.07) Input: $0.062500 (rounded ~ $0.06)
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $0.035000 (rounded ~ $0.04) Input: $0.062500 (rounded ~ $0.06)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 49.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.062500 (rounded ~ $0.06)
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $0.035000 (rounded ~ $0.04)
  • 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: 3 minutes, 30.06 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complexmulti-step customer support agentic workflows and high-context RAG pipelines.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.5
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.5 vs Claude Opus 4.7
🏆 Mistral Small 3
Mistral AI
$0.000650 Best Value ↓ 99.1% cheaper ↓ 98.1% cheaper
🥈 Gemini 3.1 Flash Lite
Google
$0.001813 ↓ 97.5% cheaper ↓ 94.8% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
$0.002350 ↓ 96.8% cheaper ↓ 93.3% cheaper
#4 Gemini 2.5 Flash
Google
$0.002350 ↓ 96.8% cheaper ↓ 93.3% cheaper
#5 Mistral Large 3
Mistral AI
$0.003250 ↓ 95.5% cheaper ↓ 90.7% cheaper
#6 Gemini 3.8 Flash
Google
$0.005250 (rounded ~ $0.01) ↓ 92.8% cheaper ↓ 85% cheaper
#7 GPT-5.4 mini
OpenAI
$0.005438 (rounded ~ $0.01) ↓ 92.5% cheaper ↓ 84.5% cheaper
#8 o4-mini Deep Research
OpenAI
$0.006750 (rounded ~ $0.01) ↓ 90.7% cheaper ↓ 80.7% cheaper
#9 Claude Haiku 4.5
Anthropic
$0.007000 (rounded ~ $0.01) ↓ 90.3% cheaper ↓ 80% cheaper
#10 Gemini 3.1 Flash
Google
$0.007250 (rounded ~ $0.01) ↓ 90% cheaper ↓ 79.3% cheaper
#11 GPT-5.6 Luna
OpenAI
$0.007250 (rounded ~ $0.01) ↓ 90% cheaper ↓ 79.3% cheaper
#12 o4-mini
OpenAI
$0.007425 (rounded ~ $0.01) ↓ 89.8% cheaper ↓ 78.8% cheaper
#13 Gemini 3.6 Flash
Google
$0.010500 ↓ 85.5% cheaper ↓ 70% cheaper
#14 Gemini 3.5 Flash
Google
$0.010875 ↓ 85% cheaper ↓ 68.9% cheaper
#15 GPT-5.3 Codex Spark
OpenAI
$0.013563 (rounded ~ $0.01) ↓ 81.3% cheaper ↓ 61.3% cheaper
#16 GPT-5.3 Instant
OpenAI
$0.013563 (rounded ~ $0.01) ↓ 81.3% cheaper ↓ 61.3% cheaper
#17 Claude Sonnet 5
Anthropic
$0.014000 (rounded ~ $0.01) ↓ 80.7% cheaper ↓ 60% cheaper
#18 GPT-5.6 Terra
OpenAI
$0.018125 (rounded ~ $0.02) ↓ 75% cheaper ↓ 48.2% cheaper
#19 Gemini 2.5 Pro
Google
$0.019375 ↓ 73.3% cheaper ↓ 44.6% cheaper
#20 Claude Sonnet 4.6
Anthropic
$0.021000 (rounded ~ $0.02) ↓ 71% cheaper ↓ 40% cheaper
#21 Grok 4.3
xAI
$0.025000 (rounded ~ $0.03) ↓ 65.5% cheaper ↓ 28.6% cheaper
#22 Grok 4.20 Beta
xAI
$0.025000 (rounded ~ $0.03) ↓ 65.5% cheaper ↓ 28.6% cheaper
#23 Gemini 3.1 Pro
Google
$0.029000 ↓ 60% cheaper ↓ 17.1% cheaper
#24 Claude Opus 4.7
Anthropic
$0.035000 (rounded ~ $0.04) ↓ 51.7% cheaper Same price
#25 Claude Opus 5
Anthropic
$0.035000 (rounded ~ $0.04) ↓ 51.7% cheaper Same price
#26 Claude Opus 4.8
Anthropic
$0.035000 (rounded ~ $0.04) ↓ 51.7% cheaper Same price
#27 Claude Opus 4.6
Anthropic
$0.035000 (rounded ~ $0.04) ↓ 51.7% cheaper Same price
#28 GPT-5.4
OpenAI
$0.036250 (rounded ~ $0.04) ↓ 50% cheaper ↑ 3.6% more
#29 GPT-5.4 Thinking
OpenAI
$0.036250 (rounded ~ $0.04) ↓ 50% cheaper ↑ 3.6% more
#30 GPT-5.5 Instant
OpenAI
$0.036250 (rounded ~ $0.04) ↓ 50% cheaper ↑ 3.6% more
#31 GPT-5.6 Sol
OpenAI
$0.036250 (rounded ~ $0.04) ↓ 50% cheaper ↑ 3.6% more
#32 Claude Fable 5.1
Anthropic
$0.064375 (rounded ~ $0.06) ↓ 11.2% cheaper ↑ 83.9% more
#33 Claude Mythos 5.1
Anthropic
$0.064375 (rounded ~ $0.06) ↓ 11.2% cheaper ↑ 83.9% more
#34 o3 Deep Research
OpenAI
$0.067500 (rounded ~ $0.07) ↓ 6.9% cheaper ↑ 92.9% more
#35 Claude Fable 5
Anthropic
$0.070000 ↓ 3.4% cheaper ↑ 100% more
#36 Claude Mythos 5
Anthropic
$0.070000 ↓ 3.4% cheaper ↑ 100% more
#37 o3 Pro
OpenAI
$0.135000 (rounded ~ $0.14) ↑ 86.2% more ↑ 285.7% more
#38 GPT-6 Astra
OpenAI
$0.140000 ↑ 93.1% more ↑ 300% more
#39 GPT-5.2 Pro
OpenAI
$0.162750 (rounded ~ $0.16) ↑ 124.5% more ↑ 365% more
#40 GPT-5.2 Pro
OpenAI
$0.162750 (rounded ~ $0.16) ↑ 124.5% more ↑ 365% more
🏆

Mistral Small 3
Mistral AI

$0.000650
vs GPT-5.5: ↓ 99.1%
vs Claude Opus 4.7: ↓ 98.1%
🥈

Gemini 3.1 Flash Lite
Google

$0.001813
vs GPT-5.5: ↓ 97.5%
vs Claude Opus 4.7: ↓ 94.8%
🥉

Gemini 3.5 Flash-Lite
Google

$0.002350
vs GPT-5.5: ↓ 96.8%
vs Claude Opus 4.7: ↓ 93.3%
#4

Gemini 2.5 Flash
Google

$0.002350
vs GPT-5.5: ↓ 96.8%
vs Claude Opus 4.7: ↓ 93.3%
#5

Mistral Large 3
Mistral AI

$0.003250
vs GPT-5.5: ↓ 95.5%
vs Claude Opus 4.7: ↓ 90.7%
#6

Gemini 3.8 Flash
Google

$0.005250 (rounded ~ $0.01)
vs GPT-5.5: ↓ 92.8%
vs Claude Opus 4.7: ↓ 85%
#7

GPT-5.4 mini
OpenAI

$0.005438 (rounded ~ $0.01)
vs GPT-5.5: ↓ 92.5%
vs Claude Opus 4.7: ↓ 84.5%
#8

o4-mini Deep Research
OpenAI

$0.006750 (rounded ~ $0.01)
vs GPT-5.5: ↓ 90.7%
vs Claude Opus 4.7: ↓ 80.7%
#9

Claude Haiku 4.5
Anthropic

$0.007000 (rounded ~ $0.01)
vs GPT-5.5: ↓ 90.3%
vs Claude Opus 4.7: ↓ 80%
#10

Gemini 3.1 Flash
Google

$0.007250 (rounded ~ $0.01)
vs GPT-5.5: ↓ 90%
vs Claude Opus 4.7: ↓ 79.3%
#11

GPT-5.6 Luna
OpenAI

$0.007250 (rounded ~ $0.01)
vs GPT-5.5: ↓ 90%
vs Claude Opus 4.7: ↓ 79.3%
#12

o4-mini
OpenAI

$0.007425 (rounded ~ $0.01)
vs GPT-5.5: ↓ 89.8%
vs Claude Opus 4.7: ↓ 78.8%
#13

Gemini 3.6 Flash
Google

$0.010500
vs GPT-5.5: ↓ 85.5%
vs Claude Opus 4.7: ↓ 70%
#14

Gemini 3.5 Flash
Google

$0.010875
vs GPT-5.5: ↓ 85%
vs Claude Opus 4.7: ↓ 68.9%
#15

GPT-5.3 Codex Spark
OpenAI

$0.013563 (rounded ~ $0.01)
vs GPT-5.5: ↓ 81.3%
vs Claude Opus 4.7: ↓ 61.3%
#16

GPT-5.3 Instant
OpenAI

$0.013563 (rounded ~ $0.01)
vs GPT-5.5: ↓ 81.3%
vs Claude Opus 4.7: ↓ 61.3%
#17

Claude Sonnet 5
Anthropic

$0.014000 (rounded ~ $0.01)
vs GPT-5.5: ↓ 80.7%
vs Claude Opus 4.7: ↓ 60%
#18

GPT-5.6 Terra
OpenAI

$0.018125 (rounded ~ $0.02)
vs GPT-5.5: ↓ 75%
vs Claude Opus 4.7: ↓ 48.2%
#19

Gemini 2.5 Pro
Google

$0.019375
vs GPT-5.5: ↓ 73.3%
vs Claude Opus 4.7: ↓ 44.6%
#20

Claude Sonnet 4.6
Anthropic

$0.021000 (rounded ~ $0.02)
vs GPT-5.5: ↓ 71%
vs Claude Opus 4.7: ↓ 40%
#21

Grok 4.3
xAI

$0.025000 (rounded ~ $0.03)
vs GPT-5.5: ↓ 65.5%
vs Claude Opus 4.7: ↓ 28.6%
#22

Grok 4.20 Beta
xAI

$0.025000 (rounded ~ $0.03)
vs GPT-5.5: ↓ 65.5%
vs Claude Opus 4.7: ↓ 28.6%
#23

Gemini 3.1 Pro
Google

$0.029000
vs GPT-5.5: ↓ 60%
vs Claude Opus 4.7: ↓ 17.1%
#24

Claude Opus 4.7
Anthropic

$0.035000 (rounded ~ $0.04)
vs GPT-5.5: ↓ 51.7%
vs Claude Opus 4.7: Same
#25

Claude Opus 5
Anthropic

$0.035000 (rounded ~ $0.04)
vs GPT-5.5: ↓ 51.7%
vs Claude Opus 4.7: Same
#26

Claude Opus 4.8
Anthropic

$0.035000 (rounded ~ $0.04)
vs GPT-5.5: ↓ 51.7%
vs Claude Opus 4.7: Same
#27

Claude Opus 4.6
Anthropic

$0.035000 (rounded ~ $0.04)
vs GPT-5.5: ↓ 51.7%
vs Claude Opus 4.7: Same
#28

GPT-5.4
OpenAI

$0.036250 (rounded ~ $0.04)
vs GPT-5.5: ↓ 50%
vs Claude Opus 4.7: ↑ 3.6%
#29

GPT-5.4 Thinking
OpenAI

$0.036250 (rounded ~ $0.04)
vs GPT-5.5: ↓ 50%
vs Claude Opus 4.7: ↑ 3.6%
#30

GPT-5.5 Instant
OpenAI

$0.036250 (rounded ~ $0.04)
vs GPT-5.5: ↓ 50%
vs Claude Opus 4.7: ↑ 3.6%
#31

GPT-5.6 Sol
OpenAI

$0.036250 (rounded ~ $0.04)
vs GPT-5.5: ↓ 50%
vs Claude Opus 4.7: ↑ 3.6%
#32

Claude Fable 5.1
Anthropic

$0.064375 (rounded ~ $0.06)
vs GPT-5.5: ↓ 11.2%
vs Claude Opus 4.7: ↑ 83.9%
#33

Claude Mythos 5.1
Anthropic

$0.064375 (rounded ~ $0.06)
vs GPT-5.5: ↓ 11.2%
vs Claude Opus 4.7: ↑ 83.9%
#34

o3 Deep Research
OpenAI

$0.067500 (rounded ~ $0.07)
vs GPT-5.5: ↓ 6.9%
vs Claude Opus 4.7: ↑ 92.9%
#35

Claude Fable 5
Anthropic

$0.070000
vs GPT-5.5: ↓ 3.4%
vs Claude Opus 4.7: ↑ 100%
#36

Claude Mythos 5
Anthropic

$0.070000
vs GPT-5.5: ↓ 3.4%
vs Claude Opus 4.7: ↑ 100%
#37

o3 Pro
OpenAI

$0.135000 (rounded ~ $0.14)
vs GPT-5.5: ↑ 86.2%
vs Claude Opus 4.7: ↑ 285.7%
#38

GPT-6 Astra
OpenAI

$0.140000
vs GPT-5.5: ↑ 93.1%
vs Claude Opus 4.7: ↑ 300%
#39

GPT-5.2 Pro
OpenAI

$0.162750 (rounded ~ $0.16)
vs GPT-5.5: ↑ 124.5%
vs Claude Opus 4.7: ↑ 365%
#40

GPT-5.2 Pro
OpenAI

$0.162750 (rounded ~ $0.16)
vs GPT-5.5: ↑ 124.5%
vs Claude Opus 4.7: ↑ 365%
✨ 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.

Scaling High-Volume Customer Support

For support leads managing 300+ concurrent sessions, the choice between GPT-5.5 and Claude Opus 4.7 often comes down to the specific nature of your RAG pipeline. GPT-5.5 offers robust reasoning and agentic capabilities, making it a strong choice for complex, multi-step escalation workflows where accuracy is paramount.

Claude Opus 4.7, conversely, excels in its ability to maintain coherence across lengthy, multi-session interactions. Its architecture is particularly well-suited for high-context retrieval tasks, ensuring that your support chatbots stay grounded in existing customer history and documentation without losing the thread of the conversation. When evaluating these models for your support stack, consider the latency requirements of your frontline agents. Both models support advanced function calling, but the overhead of their reasoning engines can differ. If your workload involves high-volume, standard FAQ-style queries, both models provide top-tier reliability. However, for nuanced, multilingual support where cultural context and precise instruction following are critical, Claude Opus 4.7’s strength in instruction-following often provides a smoother customer experience.

Ultimately, the decision should be driven by the complexity of your escalation paths. If your bots need to independently trigger diagnostic tools, perform account lookups, and suggest solutions without human intervention, GPT-5.5 provides a highly reliable, agentic framework. If your primary focus is on long-form, empathetic, and context-aware conversational support, Claude Opus 4.7 is a formidable, high-performance option for mid-market scale.

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.