Claude Opus 4.7 vs GPT-5.5 Pro for 500K-Token Per-Call Agentic Browser 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Claude Opus 4.7 has been replaced by Claude Opus 5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 Pro
Complete Comparison: 500,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% 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) (20% cached)
Input Tokens 500,000 500,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.625000 (rounded ~ $0.63)Best $3.750000Worst
Output Cost $0.012500 (rounded ~ $0.01)Best $0.090000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.525000 (rounded ~ $0.53) Best Value $3.840000 Most Expensive
Processing Time 33 minutes, 8.87 seconds Slowest 25 minutes, 20.94 seconds Fastest
Tokens per Second 260Slowest 340Fastest
Time to First Token 400ms Worst 260ms Best
Cost per 1K tokens $0.001046Best $0.007649 (rounded ~ $0.01)Worst
Tokens per Dollar 956,190Best Value 130,729Worst 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
20
✓ Supported ✗ Not Supported requested
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)
20%
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

$0.500000 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
502,000Total Tokens
$0.001046Cost per 1K
956,190Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

33m 8s Processing Time
260 Tokens/Second
400ms Time to First Token
252 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

$0.525000 (rounded ~ $0.53)
Total Cost
⚡ 20% 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) $0.637500 (rounded ~ $0.64) Input: $0.625000 (rounded ~ $0.63)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.525000 (rounded ~ $0.53) Input: $0.625000 (rounded ~ $0.63)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.112500 (rounded ~ $0.11) 17.6% 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 2,000 output tokens:

  • Input Cost: $0.625000 (rounded ~ $0.63)
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.525000 (rounded ~ $0.53)
  • Cost per 1K tokens: $0.001046
  • Tokens per dollar: 956,190 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: 33 minutes, 8.87 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 252 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-precisionmulti-step navigation tasks; use GPT-5.5 Pro for complexagentic reasoning tasks that require developer-like decision-making.

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

$3.840000
Total Cost
⚡ 20% 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) $3.840000 Input: $3.750000
Output: $0.090000
Optimized Cost $3.840000 Input: $3.750000
Output: $0.090000
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 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $3.750000
  • Output Cost: $0.090000
  • Total Cost: $3.840000
  • Cost per 1K tokens: $0.007649 (rounded ~ $0.01)
  • Tokens per dollar: 130,729 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: 25 minutes, 20.94 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 330 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Opus 4.7 for high-precisionmulti-step navigation tasks; use GPT-5.5 Pro for complexagentic reasoning tasks that require developer-like decision-making.

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: 500,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5 Pro
🏆 Gemini 3.1 Flash Lite
Google
$0.026375 (rounded ~ $0.03) Best Value ↓ 95% cheaper ↓ 99.3% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
$0.032000 (rounded ~ $0.03) ↓ 93.9% cheaper ↓ 99.2% cheaper
🥉 Gemini 2.5 Flash
Google
$0.032000 (rounded ~ $0.03) ↓ 93.9% cheaper ↓ 99.2% cheaper
#4 Gemini 3.8 Flash
Google
$0.078750 (rounded ~ $0.08) ↓ 85% cheaper ↓ 97.9% cheaper
#5 GPT-5.6 Luna
OpenAI
$0.105500 (rounded ~ $0.11) ↓ 79.9% cheaper ↓ 97.3% cheaper
#6 Gemini 3.6 Flash
Google
$0.157500 (rounded ~ $0.16) ↓ 70% cheaper ↓ 95.9% cheaper
#7 Gemini 3.5 Flash
Google
$0.158250 (rounded ~ $0.16) ↓ 69.9% cheaper ↓ 95.9% cheaper
#8 Claude Sonnet 5
Anthropic
$0.210000 ↓ 60% cheaper ↓ 94.5% cheaper
#9 Gemini 3.1 Flash
Google
$0.211000 (rounded ~ $0.21) ↓ 59.8% cheaper ↓ 94.5% cheaper
#10 GPT-5.6 Terra
OpenAI
$0.263750 (rounded ~ $0.26) ↓ 49.8% cheaper ↓ 93.1% cheaper
#11 Claude Sonnet 4.6
Anthropic
$0.315000 (rounded ~ $0.32) ↓ 40% cheaper ↓ 91.8% cheaper
#12 Claude Opus 5
Anthropic
$0.525000 (rounded ~ $0.53) Same price ↓ 86.3% cheaper
#13 Claude Opus 4.8
Anthropic
$0.525000 (rounded ~ $0.53) Same price ↓ 86.3% cheaper
#14 Claude Opus 4.6
Anthropic
$0.525000 (rounded ~ $0.53) Same price ↓ 86.3% cheaper
#15 Gemini 2.5 Pro
Google
$0.527500 (rounded ~ $0.53) ↑ 0.5% more ↓ 86.3% cheaper
#16 GPT-5.6 Sol
OpenAI
$0.527500 (rounded ~ $0.53) ↑ 0.5% more ↓ 86.3% cheaper
#17 Grok 4.3
xAI
$0.828000 (rounded ~ $0.83) ↑ 57.7% more ↓ 78.4% cheaper
#18 Grok 4.20 Beta
xAI
$0.828000 (rounded ~ $0.83) ↑ 57.7% more ↓ 78.4% cheaper
#19 Gemini 3.1 Pro
Google
$0.838000 (rounded ~ $0.84) ↑ 59.6% more ↓ 78.2% cheaper
#20 Claude Fable 5.1
Anthropic
$1.031250 (rounded ~ $1.03) ↑ 96.4% more ↓ 73.1% cheaper
#21 Claude Mythos 5.1
Anthropic
$1.031250 (rounded ~ $1.03) ↑ 96.4% more ↓ 73.1% cheaper
#22 GPT-5.4
OpenAI
$1.047500 (rounded ~ $1.05) ↑ 99.5% more ↓ 72.7% cheaper
#23 GPT-5.4 Thinking
OpenAI
$1.047500 (rounded ~ $1.05) ↑ 99.5% more ↓ 72.7% cheaper
#24 Claude Fable 5
Anthropic
$1.050000 ↑ 100% more ↓ 72.7% cheaper
#25 Claude Mythos 5
Anthropic
$1.050000 ↑ 100% more ↓ 72.7% cheaper
#26 GPT-5.5
OpenAI
$2.095000 (rounded ~ $2.10) ↑ 299% more ↓ 45.4% cheaper
#27 GPT-6 Astra
OpenAI
$4.200000 ↑ 700% more ↑ 9.4% more
#28 GPT-6 Astra
OpenAI
$4.200000 ↑ 700% more ↑ 9.4% more
🏆

Gemini 3.1 Flash Lite
Google

$0.026375 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 95%
vs GPT-5.5 Pro: ↓ 99.3%
🥈

Gemini 3.5 Flash-Lite
Google

$0.032000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5 Pro: ↓ 99.2%
🥉

Gemini 2.5 Flash
Google

$0.032000 (rounded ~ $0.03)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5 Pro: ↓ 99.2%
#4

Gemini 3.8 Flash
Google

$0.078750 (rounded ~ $0.08)
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.5 Pro: ↓ 97.9%
#5

GPT-5.6 Luna
OpenAI

$0.105500 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 79.9%
vs GPT-5.5 Pro: ↓ 97.3%
#6

Gemini 3.6 Flash
Google

$0.157500 (rounded ~ $0.16)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.5 Pro: ↓ 95.9%
#7

Gemini 3.5 Flash
Google

$0.158250 (rounded ~ $0.16)
vs Claude Opus 4.7: ↓ 69.9%
vs GPT-5.5 Pro: ↓ 95.9%
#8

Claude Sonnet 5
Anthropic

$0.210000
vs Claude Opus 4.7: ↓ 60%
vs GPT-5.5 Pro: ↓ 94.5%
#9

Gemini 3.1 Flash
Google

$0.211000 (rounded ~ $0.21)
vs Claude Opus 4.7: ↓ 59.8%
vs GPT-5.5 Pro: ↓ 94.5%
#10

GPT-5.6 Terra
OpenAI

$0.263750 (rounded ~ $0.26)
vs Claude Opus 4.7: ↓ 49.8%
vs GPT-5.5 Pro: ↓ 93.1%
#11

Claude Sonnet 4.6
Anthropic

$0.315000 (rounded ~ $0.32)
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.5 Pro: ↓ 91.8%
#12

Claude Opus 5
Anthropic

$0.525000 (rounded ~ $0.53)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 86.3%
#13

Claude Opus 4.8
Anthropic

$0.525000 (rounded ~ $0.53)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 86.3%
#14

Claude Opus 4.6
Anthropic

$0.525000 (rounded ~ $0.53)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 86.3%
#15

Gemini 2.5 Pro
Google

$0.527500 (rounded ~ $0.53)
vs Claude Opus 4.7: ↑ 0.5%
vs GPT-5.5 Pro: ↓ 86.3%
#16

GPT-5.6 Sol
OpenAI

$0.527500 (rounded ~ $0.53)
vs Claude Opus 4.7: ↑ 0.5%
vs GPT-5.5 Pro: ↓ 86.3%
#17

Grok 4.3
xAI

$0.828000 (rounded ~ $0.83)
vs Claude Opus 4.7: ↑ 57.7%
vs GPT-5.5 Pro: ↓ 78.4%
#18

Grok 4.20 Beta
xAI

$0.828000 (rounded ~ $0.83)
vs Claude Opus 4.7: ↑ 57.7%
vs GPT-5.5 Pro: ↓ 78.4%
#19

Gemini 3.1 Pro
Google

$0.838000 (rounded ~ $0.84)
vs Claude Opus 4.7: ↑ 59.6%
vs GPT-5.5 Pro: ↓ 78.2%
#20

Claude Fable 5.1
Anthropic

$1.031250 (rounded ~ $1.03)
vs Claude Opus 4.7: ↑ 96.4%
vs GPT-5.5 Pro: ↓ 73.1%
#21

Claude Mythos 5.1
Anthropic

$1.031250 (rounded ~ $1.03)
vs Claude Opus 4.7: ↑ 96.4%
vs GPT-5.5 Pro: ↓ 73.1%
#22

GPT-5.4
OpenAI

$1.047500 (rounded ~ $1.05)
vs Claude Opus 4.7: ↑ 99.5%
vs GPT-5.5 Pro: ↓ 72.7%
#23

GPT-5.4 Thinking
OpenAI

$1.047500 (rounded ~ $1.05)
vs Claude Opus 4.7: ↑ 99.5%
vs GPT-5.5 Pro: ↓ 72.7%
#24

Claude Fable 5
Anthropic

$1.050000
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5 Pro: ↓ 72.7%
#25

Claude Mythos 5
Anthropic

$1.050000
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5 Pro: ↓ 72.7%
#26

GPT-5.5
OpenAI

$2.095000 (rounded ~ $2.10)
vs Claude Opus 4.7: ↑ 299%
vs GPT-5.5 Pro: ↓ 45.4%
#27

GPT-6 Astra
OpenAI

$4.200000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↑ 9.4%
#28

GPT-6 Astra
OpenAI

$4.200000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↑ 9.4%
✨ 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 Engine for Autonomous Web Tasks

For SaaS platforms implementing complex agentic browser automation, the choice between Claude Opus 4.7 and GPT-5.5 Pro often comes down to reasoning style and tool-use reliability in high-stakes environments. Agentic browser tasks, such as navigating multi-step e-commerce workflows or managing dynamic DOM elements, require models that can not only interpret visual inputs but also maintain logical coherence over hundreds of actions.

Claude Opus 4.7 has emerged as a leader in structured reasoning and multi-step instruction following. Its architecture is particularly adept at handling complex extraction tasks where precision is paramount, often resulting in fewer retries for delicate browser navigation. For developers building systems that require high reliability—such as automated QA suites or complex data extraction agents—Claude often provides a more consistent, deterministic output pattern.

Conversely, GPT-5.5 Pro is heavily optimized for deep reasoning and terminal-based agentic workflows. When your browser agent needs to perform complex debugging, write custom JS scripts for injection, or perform high-level analysis of browser state transitions, GPT-5.5 Pro excels. Its integration with broader tool-calling ecosystems is deeply mature, making it the preferred choice for agents that act as autonomous developers rather than simple navigators. For mid-market SaaS companies, the decision rests on whether your agents are primarily executing predefined, high-reliability paths (Claude) or solving open-ended problems that require autonomous, developer-like reasoning (GPT-5.5 Pro).

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.