Claude Opus 4.7 vs GPT-5.5: 500K-Token RAG Inputs for 1-Billion-Token Monthly 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Claude Opus 4.7 has been replaced by Claude Opus 5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-5.5
Complete Comparison: 500,000 input tokens × 1,000 output tokens
Comparison Mode
⚡ 80% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 80% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
GPT-5.5
OpenAI
Calculation Results (Current Inputs) (80% cached)
Input Tokens 500,000 500,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.625000 (rounded ~ $0.63)Best $2.500000Worst
Output Cost $0.006250 (rounded ~ $0.01)Best $0.022500 (rounded ~ $0.02)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.181250 (rounded ~ $0.18) Best Value $0.722500 (rounded ~ $0.72) Most Expensive
Processing Time 34 minutes, 21.99 seconds Slowest 21 minutes, 16.54 seconds Fastest
Tokens per Second 260Slowest 420Fastest
Time to First Token 400ms Worst 210ms Best
Cost per 1K tokens $0.000362Best $0.001442Worst
Tokens per Dollar 2,764,138Best Value 693,426Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $5.000000Worst
Output Cost / 1M (Base) $6.250000Best $22.500000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$2.500000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$11.250000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
80
✓ 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)
80%
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

$0.181250 Total Cost
$0.125000 Input Cost
$0.006250 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
501,000Total Tokens
$0.000362Cost per 1K
2,764,138Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

34m 21s 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

$0.181250 (rounded ~ $0.18)
Total Cost
⚡ 80% 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) $0.631250 (rounded ~ $0.63) Input: $0.625000 (rounded ~ $0.63)
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $0.181250 (rounded ~ $0.18) Input: $0.625000 (rounded ~ $0.63)
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 71.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.625000 (rounded ~ $0.63)
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $0.181250 (rounded ~ $0.18)
  • Cost per 1K tokens: $0.000362
  • Tokens per dollar: 2,764,138 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: 34 minutes, 21.99 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus 4.7 excels at rigorous coding and structured reasoningwhile GPT-5.5 is designed for autonomousagentic 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-5.5 OpenAI 1000000 🏔️ Context Cliff

$0.722500 (rounded ~ $0.72)
Total Cost
⚡ 80% 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) $2.522500 (rounded ~ $2.52) Input: $2.500000
Output: $0.022500 (rounded ~ $0.02)
Optimized Cost $0.722500 (rounded ~ $0.72) Input: $2.500000
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $1.800000 71.4% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 1,000 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $0.022500 (rounded ~ $0.02)
  • Total Cost: $0.722500 (rounded ~ $0.72)
  • Cost per 1K tokens: $0.001442
  • Tokens per dollar: 693,426 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: 21 minutes, 16.54 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Claude Opus 4.7 excels at rigorous coding and structured reasoningwhile GPT-5.5 is designed for autonomousagentic workflows.

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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5
🏆 Gemini 3.1 Flash Lite
Google
 $0.009125 Best Value ↓ 95% cheaper ↓ 98.7% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.011125 (rounded ~ $0.01) ↓ 93.9% cheaper ↓ 98.5% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.011125 (rounded ~ $0.01) ↓ 93.9% cheaper ↓ 98.5% cheaper
#4 Gemini 3.8 Flash
Google
 $0.027188 (rounded ~ $0.03) ↓ 85% cheaper ↓ 96.2% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.036500 (rounded ~ $0.04) ↓ 79.9% cheaper ↓ 94.9% cheaper
#6 Gemini 3.6 Flash
Google
 $0.054375 (rounded ~ $0.05) ↓ 70% cheaper ↓ 92.5% cheaper
#7 Gemini 3.5 Flash
Google
 $0.054750 (rounded ~ $0.05) ↓ 69.8% cheaper ↓ 92.4% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.072500 (rounded ~ $0.07) ↓ 60% cheaper ↓ 90% cheaper
#9 Gemini 3.1 Flash
Google
 $0.073000 (rounded ~ $0.07) ↓ 59.7% cheaper ↓ 89.9% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.091250 (rounded ~ $0.09) ↓ 49.7% cheaper ↓ 87.4% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.108750 (rounded ~ $0.11) ↓ 40% cheaper ↓ 84.9% cheaper
#12 Claude Opus 5
Anthropic
 $0.181250 (rounded ~ $0.18) Same price ↓ 74.9% cheaper
#13 Claude Opus 4.8
Anthropic
 $0.181250 (rounded ~ $0.18) Same price ↓ 74.9% cheaper
#14 Claude Opus 4.6
Anthropic
 $0.181250 (rounded ~ $0.18) Same price ↓ 74.9% cheaper
#15 Gemini 2.5 Pro
Google
 $0.182500 (rounded ~ $0.18) ↑ 0.7% more ↓ 74.7% cheaper
#16 GPT-5.6 Sol
OpenAI
 $0.182500 (rounded ~ $0.18) ↑ 0.7% more ↓ 74.7% cheaper
#17 Grok 4.3
xAI
 $0.284000 (rounded ~ $0.28) ↑ 56.7% more ↓ 60.7% cheaper
#18 Grok 4.20 Beta
xAI
 $0.284000 (rounded ~ $0.28) ↑ 56.7% more ↓ 60.7% cheaper
#19 Claude Fable 5.1
Anthropic
 $0.287500 (rounded ~ $0.29) ↑ 58.6% more ↓ 60.2% cheaper
#20 Claude Mythos 5.1
Anthropic
 $0.287500 (rounded ~ $0.29) ↑ 58.6% more ↓ 60.2% cheaper
#21 Gemini 3.1 Pro
Google
 $0.289000 (rounded ~ $0.29) ↑ 59.4% more ↓ 60% cheaper
#22 GPT-5.4
OpenAI
 $0.361250 (rounded ~ $0.36) ↑ 99.3% more ↓ 50% cheaper
#23 GPT-5.4 Thinking
OpenAI
 $0.361250 (rounded ~ $0.36) ↑ 99.3% more ↓ 50% cheaper
#24 Claude Fable 5
Anthropic
 $0.362500 (rounded ~ $0.36) ↑ 100% more ↓ 49.8% cheaper
#25 Claude Mythos 5
Anthropic
 $0.362500 (rounded ~ $0.36) ↑ 100% more ↓ 49.8% cheaper
#26 GPT-5.5
OpenAI
 $0.722500 (rounded ~ $0.72) ↑ 298.6% more Same price
#27 GPT-6 Astra
OpenAI
 $1.450000 ↑ 700% more ↑ 100.7% more
#28 GPT-6 Astra
OpenAI
 $1.450000 ↑ 700% more ↑ 100.7% more
🏆

Gemini 3.1 Flash Lite
Google

$0.009125
vs Claude Opus 4.7: ↓ 95%
vs GPT-5.5: ↓ 98.7%
🥈

Gemini 3.5 Flash-Lite
Google

$0.011125 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5: ↓ 98.5%
🥉

Gemini 2.5 Flash
Google

$0.011125 (rounded ~ $0.01)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5: ↓ 98.5%
#4

Gemini 3.8 Flash
Google

$0.027188 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.5: ↓ 96.2%
#5

GPT-5.6 Luna
OpenAI

$0.036500 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 79.9%
vs GPT-5.5: ↓ 94.9%
#6

Gemini 3.6 Flash
Google

$0.054375 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.5: ↓ 92.5%
#7

Gemini 3.5 Flash
Google

$0.054750 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 69.8%
vs GPT-5.5: ↓ 92.4%
#8

Claude Sonnet 5
Anthropic

$0.072500 (rounded ~ $0.07)
vs Claude Opus 4.7: ↓ 60%
vs GPT-5.5: ↓ 90%
#9

Gemini 3.1 Flash
Google

$0.073000 (rounded ~ $0.07)
vs Claude Opus 4.7: ↓ 59.7%
vs GPT-5.5: ↓ 89.9%
#10

GPT-5.6 Terra
OpenAI

$0.091250 (rounded ~ $0.09)
vs Claude Opus 4.7: ↓ 49.7%
vs GPT-5.5: ↓ 87.4%
#11

Claude Sonnet 4.6
Anthropic

$0.108750 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.5: ↓ 84.9%
#12

Claude Opus 5
Anthropic

$0.181250 (rounded ~ $0.18)
vs Claude Opus 4.7: Same
vs GPT-5.5: ↓ 74.9%
#13

Claude Opus 4.8
Anthropic

$0.181250 (rounded ~ $0.18)
vs Claude Opus 4.7: Same
vs GPT-5.5: ↓ 74.9%
#14

Claude Opus 4.6
Anthropic

$0.181250 (rounded ~ $0.18)
vs Claude Opus 4.7: Same
vs GPT-5.5: ↓ 74.9%
#15

Gemini 2.5 Pro
Google

$0.182500 (rounded ~ $0.18)
vs Claude Opus 4.7: ↑ 0.7%
vs GPT-5.5: ↓ 74.7%
#16

GPT-5.6 Sol
OpenAI

$0.182500 (rounded ~ $0.18)
vs Claude Opus 4.7: ↑ 0.7%
vs GPT-5.5: ↓ 74.7%
#17

Grok 4.3
xAI

$0.284000 (rounded ~ $0.28)
vs Claude Opus 4.7: ↑ 56.7%
vs GPT-5.5: ↓ 60.7%
#18

Grok 4.20 Beta
xAI

$0.284000 (rounded ~ $0.28)
vs Claude Opus 4.7: ↑ 56.7%
vs GPT-5.5: ↓ 60.7%
#19

Claude Fable 5.1
Anthropic

$0.287500 (rounded ~ $0.29)
vs Claude Opus 4.7: ↑ 58.6%
vs GPT-5.5: ↓ 60.2%
#20

Claude Mythos 5.1
Anthropic

$0.287500 (rounded ~ $0.29)
vs Claude Opus 4.7: ↑ 58.6%
vs GPT-5.5: ↓ 60.2%
#21

Gemini 3.1 Pro
Google

$0.289000 (rounded ~ $0.29)
vs Claude Opus 4.7: ↑ 59.4%
vs GPT-5.5: ↓ 60%
#22

GPT-5.4
OpenAI

$0.361250 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.5: ↓ 50%
#23

GPT-5.4 Thinking
OpenAI

$0.361250 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.5: ↓ 50%
#24

Claude Fable 5
Anthropic

$0.362500 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5: ↓ 49.8%
#25

Claude Mythos 5
Anthropic

$0.362500 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5: ↓ 49.8%
#26

GPT-5.5
OpenAI

$0.722500 (rounded ~ $0.72)
vs Claude Opus 4.7: ↑ 298.6%
vs GPT-5.5: Same
#27

GPT-6 Astra
OpenAI

$1.450000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5: ↑ 100.7%
#28

GPT-6 Astra
OpenAI

$1.450000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5: ↑ 100.7%
✨ 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 enterprise architects building high-volume RAG pipelines, the choice between Claude Opus 4.7 and GPT-5.5 often comes down to the nature of your agentic workflows. Both models support massive context windows, making them suitable for indexing thousands of real estate documents or complex legal portfolios. However, they approach complex reasoning tasks differently.

Claude Opus 4.7 is consistently reliable for tasks that require high instruction adherence and structured, consistent output. It excels in environments where the system must not only retrieve information but also maintain a rigorous chain of reasoning across multi-step processes. If your real estate agent platform requires consistent parsing of complex contracts or high-fidelity summarization of property data, Opus 4.7 provides a predictable performance floor that is highly valued in regulated industries.

GPT-5.5, conversely, is built with an agent-first mindset. Its primary strength lies in its ability to operate autonomously—navigating ambiguity and deciding when to use external tools or search the web to resolve data gaps. For teams building AI agents that must manage the full lifecycle of a property listing—from initial data extraction to personalized marketing outreach and email follow-ups—GPT-5.5’s autonomy can significantly reduce the engineering effort required to manage those loops. While Opus 4.7 provides the rigor, GPT-5.5 provides the autonomy. When planning for a 1-billion-token scale, consider whether your primary bottleneck is task complexity requiring strict validation or process orchestration requiring agentic decision-making.

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.

Related model pricing

Claude Opus 4.7 currently costs $5.00 / $25.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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