What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Anthropic offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 40% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

Claude Opus 4.7 vs GPT-5.5 Pro: Balancing Precision and Scale in 50K-Token Literature Reviews

Name: GPT-5.5 Pro
Brand: OpenAI
Price: 1.05 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Opus 4.7 vs GPT-5.5 Pro

Complete Comparison: 50,000 input tokens × 15,000 output tokens

⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	Claude Opus 4.7 Anthropic	GPT-5.5 Pro OpenAI
Calculation Results (Current Inputs) (40% cached)
Input Tokens	50,000	50,000
Output Tokens	15,000	15,000
Cost Breakdown
Input Cost	$0.062500 (rounded ~ $0.06)Best	$0.375000 (rounded ~ $0.38)Worst
Output Cost	$0.093750 (rounded ~ $0.09)Best	$0.675000 (rounded ~ $0.68)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.133750 (rounded ~ $0.13) Best Value	$1.050000 Most Expensive
Processing Time	4 minutes, 22.68 seconds Slowest	3 minutes, 20.92 seconds Fastest
Tokens per Second	260Slowest	340Fastest
Time to First Token	400ms Worst	260ms Best
Cost per 1K tokens	$0.002058Best	$0.016154 (rounded ~ $0.02)Worst
Tokens per Dollar	485,981Best Value	61,905Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.250000Best	$7.500000Worst
Output Cost / 1M (Base)	$6.250000Best	$45.000000Worst
Input Cost / 1M (Optimized)	$0.625000 (rounded ~ $0.63)Best Optimizations: 50.0% batch	$3.750000Worst Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$3.125000 (rounded ~ $3.13)Best Optimizations: 50.0% batch	$22.500000Worst Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Caching Support 40	✓ Supported	✗ Not Supported requested
Batch API Support	✓ Supported	✓ Supported
Tool Usage Support	✓ Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Claude Opus 4.7 Anthropic 1000000

$0.133750 (rounded ~ $0.13)

Total Cost

⚡ 40% 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) $0.156250 (rounded ~ $0.16) Input: $0.062500 (rounded ~ $0.06)
Output: $0.093750 (rounded ~ $0.09)

Optimized Cost $0.133750 (rounded ~ $0.13) Input: $0.062500 (rounded ~ $0.06)
Output: $0.093750 (rounded ~ $0.09)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.022500 (rounded ~ $0.02) 14.4% 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 15,000 output tokens:

Input Cost: $0.062500 (rounded ~ $0.06)
Output Cost: $0.093750 (rounded ~ $0.09)
Total Cost: $0.133750 (rounded ~ $0.13)
Cost per 1K tokens: $0.002058
Tokens per dollar: 485,981 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: 4 minutes, 22.68 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 248 tokens/second (temperature-adjusted)

Best Use Cases

Claude for academic nuance and stylistic control; GPT for autonomous research and data-heavy synthesis.

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-5.5 Pro OpenAI 1000000

$1.050000

Total Cost

⚡ 40% 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

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.050000 Input: $0.375000 (rounded ~ $0.38)
Output: $0.675000 (rounded ~ $0.68)

Optimized Cost $1.050000 Input: $0.375000 (rounded ~ $0.38)
Output: $0.675000 (rounded ~ $0.68)
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 15,000 output tokens:

Input Cost: $0.375000 (rounded ~ $0.38)
Output Cost: $0.675000 (rounded ~ $0.68)
Total Cost: $1.050000
Cost per 1K tokens: $0.016154 (rounded ~ $0.02)
Tokens per dollar: 61,905 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

Processing Time: 3 minutes, 20.92 seconds
Latency: 260 milliseconds to first token
Base Throughput: 340 tokens/second
Effective Throughput: 324 tokens/second (temperature-adjusted)

Best Use Cases

Claude for academic nuance and stylistic control; GPT for autonomous research and data-heavy synthesis.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5 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: 50,000

Output Tokens: 15,000

Batch API: Enabled (50% discount)

Cached Tokens: 40%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Opus 4.7	vs GPT-5.5 Pro
🏆	Mistral Small 3 Mistral AI	$0.001925 Best Value	↓ 98.6% cheaper	↓ 99.8% cheaper
🥈	Grok Code Fast 1 xAI	$0.007225 (rounded ~ $0.01)	↓ 94.6% cheaper	↓ 99.3% cheaper
🥉	Gemini 3.1 Flash Lite Google	$0.007625 (rounded ~ $0.01)	↓ 94.3% cheaper	↓ 99.3% cheaper
#4	Mistral Large 3 Mistral AI	$0.009625	↓ 92.8% cheaper	↓ 99.1% cheaper
#5	Gemini 2.5 Flash Google	$0.011775 (rounded ~ $0.01)	↓ 91.2% cheaper	↓ 98.9% cheaper
#6	Grok 4.3 xAI	$0.019375	↓ 85.5% cheaper	↓ 98.2% cheaper
#7	GPT-5.4 mini OpenAI	$0.022875 (rounded ~ $0.02)	↓ 82.9% cheaper	↓ 97.8% cheaper
#8	o4-mini Deep Research OpenAI	$0.023000 (rounded ~ $0.02)	↓ 82.8% cheaper	↓ 97.8% cheaper
#9	o4-mini OpenAI	$0.025300 (rounded ~ $0.03)	↓ 81.1% cheaper	↓ 97.6% cheaper
#10	Claude Haiku 4.5 Anthropic	$0.026750 (rounded ~ $0.03)	↓ 80% cheaper	↓ 97.5% cheaper
#11	Gemini 3.1 Flash Google	$0.030500	↓ 77.2% cheaper	↓ 97.1% cheaper
#12	Grok 4.20 Beta xAI	$0.038500 (rounded ~ $0.04)	↓ 71.2% cheaper	↓ 96.3% cheaper
#13	Gemini 3.5 Flash Google	$0.045750 (rounded ~ $0.05)	↓ 65.8% cheaper	↓ 95.6% cheaper
#14	GPT-5.3 Codex Spark OpenAI	$0.066500 (rounded ~ $0.07)	↓ 50.3% cheaper	↓ 93.7% cheaper
#15	GPT-5.3 Instant OpenAI	$0.066500 (rounded ~ $0.07)	↓ 50.3% cheaper	↓ 93.7% cheaper
#16	Claude Sonnet 4.6 Anthropic	$0.080250	↓ 40% cheaper	↓ 92.4% cheaper
#17	Gemini 2.5 Pro Google	$0.095000 (rounded ~ $0.10)	↓ 29% cheaper	↓ 91% cheaper
#18	Gemini 3.1 Pro Google	$0.122000 (rounded ~ $0.12)	↓ 8.8% cheaper	↓ 88.4% cheaper
#19	Claude Opus 4.8 Anthropic	$0.133750 (rounded ~ $0.13)	Same price	↓ 87.3% cheaper
#20	Claude Opus 4.6 Anthropic	$0.133750 (rounded ~ $0.13)	Same price	↓ 87.3% cheaper
#21	GPT-5.4 OpenAI	$0.152500 (rounded ~ $0.15)	↑ 14% more	↓ 85.5% cheaper
#22	GPT-5.4 Thinking OpenAI	$0.152500 (rounded ~ $0.15)	↑ 14% more	↓ 85.5% cheaper
#23	GPT-5.5 Instant OpenAI	$0.152500 (rounded ~ $0.15)	↑ 14% more	↓ 85.5% cheaper
#24	o3 Deep Research OpenAI	$0.230000	↑ 72% more	↓ 78.1% cheaper
#25	GPT-5.5 OpenAI	$0.305000 (rounded ~ $0.31)	↑ 128% more	↓ 71% cheaper
#26	o3 Pro OpenAI	$0.460000	↑ 243.9% more	↓ 56.2% cheaper
#27	GPT-5.2 Pro OpenAI	$0.798000 (rounded ~ $0.80)	↑ 496.6% more	↓ 24% cheaper
#28	GPT-5.2 Pro OpenAI	$0.798000 (rounded ~ $0.80)	↑ 496.6% more	↓ 24% cheaper

🏆

Mistral Small 3
Mistral AI

$0.001925

vs Claude Opus 4.7: ↓ 98.6%

vs GPT-5.5 Pro: ↓ 99.8%

🥈

Grok Code Fast 1
xAI

$0.007225 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 94.6%

vs GPT-5.5 Pro: ↓ 99.3%

🥉

Gemini 3.1 Flash Lite
Google

$0.007625 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 94.3%

vs GPT-5.5 Pro: ↓ 99.3%

Mistral Large 3
Mistral AI

$0.009625

vs Claude Opus 4.7: ↓ 92.8%

vs GPT-5.5 Pro: ↓ 99.1%

Gemini 2.5 Flash
Google

$0.011775 (rounded ~ $0.01)

vs Claude Opus 4.7: ↓ 91.2%

vs GPT-5.5 Pro: ↓ 98.9%

Grok 4.3
xAI

$0.019375

vs Claude Opus 4.7: ↓ 85.5%

vs GPT-5.5 Pro: ↓ 98.2%

GPT-5.4 mini
OpenAI

$0.022875 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 82.9%

vs GPT-5.5 Pro: ↓ 97.8%

o4-mini Deep Research
OpenAI

$0.023000 (rounded ~ $0.02)

vs Claude Opus 4.7: ↓ 82.8%

vs GPT-5.5 Pro: ↓ 97.8%

o4-mini
OpenAI

$0.025300 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 81.1%

vs GPT-5.5 Pro: ↓ 97.6%

#10

Claude Haiku 4.5
Anthropic

$0.026750 (rounded ~ $0.03)

vs Claude Opus 4.7: ↓ 80%

vs GPT-5.5 Pro: ↓ 97.5%

#11

Gemini 3.1 Flash
Google

$0.030500

vs Claude Opus 4.7: ↓ 77.2%

vs GPT-5.5 Pro: ↓ 97.1%

#12

Grok 4.20 Beta
xAI

$0.038500 (rounded ~ $0.04)

vs Claude Opus 4.7: ↓ 71.2%

vs GPT-5.5 Pro: ↓ 96.3%

#13

Gemini 3.5 Flash
Google

$0.045750 (rounded ~ $0.05)

vs Claude Opus 4.7: ↓ 65.8%

vs GPT-5.5 Pro: ↓ 95.6%

#14

GPT-5.3 Codex Spark
OpenAI

$0.066500 (rounded ~ $0.07)

vs Claude Opus 4.7: ↓ 50.3%

vs GPT-5.5 Pro: ↓ 93.7%

#15

GPT-5.3 Instant
OpenAI

$0.066500 (rounded ~ $0.07)

vs Claude Opus 4.7: ↓ 50.3%

vs GPT-5.5 Pro: ↓ 93.7%

#16

Claude Sonnet 4.6
Anthropic

$0.080250

vs Claude Opus 4.7: ↓ 40%

vs GPT-5.5 Pro: ↓ 92.4%

#17

Gemini 2.5 Pro
Google

$0.095000 (rounded ~ $0.10)

vs Claude Opus 4.7: ↓ 29%

vs GPT-5.5 Pro: ↓ 91%

#18

Gemini 3.1 Pro
Google

$0.122000 (rounded ~ $0.12)

vs Claude Opus 4.7: ↓ 8.8%

vs GPT-5.5 Pro: ↓ 88.4%

#19

Claude Opus 4.8
Anthropic

$0.133750 (rounded ~ $0.13)

vs Claude Opus 4.7: Same

vs GPT-5.5 Pro: ↓ 87.3%

#20

Claude Opus 4.6
Anthropic

$0.133750 (rounded ~ $0.13)

vs Claude Opus 4.7: Same

vs GPT-5.5 Pro: ↓ 87.3%

#21

GPT-5.4
OpenAI

$0.152500 (rounded ~ $0.15)

vs Claude Opus 4.7: ↑ 14%

vs GPT-5.5 Pro: ↓ 85.5%

#22

GPT-5.4 Thinking
OpenAI

$0.152500 (rounded ~ $0.15)

vs Claude Opus 4.7: ↑ 14%

vs GPT-5.5 Pro: ↓ 85.5%

#23

GPT-5.5 Instant
OpenAI

$0.152500 (rounded ~ $0.15)

vs Claude Opus 4.7: ↑ 14%

vs GPT-5.5 Pro: ↓ 85.5%

#24

o3 Deep Research
OpenAI

$0.230000

vs Claude Opus 4.7: ↑ 72%

vs GPT-5.5 Pro: ↓ 78.1%

#25

GPT-5.5
OpenAI

$0.305000 (rounded ~ $0.31)

vs Claude Opus 4.7: ↑ 128%

vs GPT-5.5 Pro: ↓ 71%

#26

o3 Pro
OpenAI

$0.460000

vs Claude Opus 4.7: ↑ 243.9%

vs GPT-5.5 Pro: ↓ 56.2%

#27

GPT-5.2 Pro
OpenAI

$0.798000 (rounded ~ $0.80)

vs Claude Opus 4.7: ↑ 496.6%

vs GPT-5.5 Pro: ↓ 24%

#28

GPT-5.2 Pro
OpenAI

$0.798000 (rounded ~ $0.80)

vs Claude Opus 4.7: ↑ 496.6%

vs GPT-5.5 Pro: ↓ 24%

✨ 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 Between Architectural Philosophies

For independent researchers and academic writers, the choice between Claude Opus 4.7 and GPT-5.5 Pro often hinges on the specific nature of your writing workflow. Both models occupy the top tier of frontier AI, yet they offer distinct experiences for long-form research drafting.

Claude Opus 4.7 has gained a reputation for its nuanced prose and ability to adhere strictly to complex stylistic constraints. If your research output needs to match a specific academic journal’s voice or requires sophisticated handling of multi-step argumentative structures, Opus 4.7 is often the more reliable choice. It shines when you need to maintain a consistent tone across a 50K-token literature review without drifting into generic AI-sounding language.

GPT-5.5 Pro, conversely, offers a more agentic experience. It excels at autonomous retrieval-augmented generation (RAG) tasks, where it might need to search multiple databases, extract data points, and integrate them into your draft. If your literature review process involves a heavy pipeline of search-and-integrate—where you are constantly pulling new information into your active draft—the GPT-5.5 Pro ecosystem is often more flexible. It is designed to handle messy inputs and turn them into structured, actionable output with less prompt engineering.

In short: pick Claude for final polish and argumentative nuance; pick GPT-5.5 Pro if your research involves heavy data synthesis and multi-step agentic workflows that require external tool reliability.

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.

Claude Opus 4.7 vs GPT-5.5 Pro: Balancing Precision and Scale in 50K-Token Literature Reviews

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Opus 4.7

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

Claude Opus 4.7 Anthropic 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

GPT-5.5 Pro OpenAI 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Mistral Small 3 Mistral AI

Grok Code Fast 1 xAI

Gemini 3.1 Flash Lite Google

Mistral Large 3 Mistral AI

Gemini 2.5 Flash Google

Grok 4.3 xAI

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

o4-mini OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Grok 4.20 Beta xAI

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Claude Sonnet 4.6 Anthropic

Gemini 2.5 Pro Google

Gemini 3.1 Pro Google

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

o3 Deep Research OpenAI

GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Choosing Between Architectural Philosophies

Frequently Asked Questions

Mistral Small 3
Mistral AI

Grok Code Fast 1
xAI

Gemini 3.1 Flash Lite
Google

Mistral Large 3
Mistral AI

Gemini 2.5 Flash
Google

Grok 4.3
xAI

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

o4-mini
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Grok 4.20 Beta
xAI

Gemini 3.5 Flash
Google

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Claude Sonnet 4.6
Anthropic

Gemini 2.5 Pro
Google

Gemini 3.1 Pro
Google

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

GPT-5.5 Instant
OpenAI

o3 Deep Research
OpenAI

GPT-5.5
OpenAI

o3 Pro
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI