Scale Comparison: Claude Opus 4.7 vs GPT-5.5 Pro for 1 Million Token Agentic CMA Workflows

Claude Opus 4.7 vs GPT-5.5 Pro
Complete Comparison: 1,000,000 input tokens × 4,000 output tokens
Comparison Mode

Complete comparison of pricing, performance, and capabilities for 2 leading AI models .

Comparison Criteria Claude Opus 4.7
Anthropic
GPT-5.5 Pro
OpenAI
Calculation Results (Current Inputs)
Input Tokens 1,000,000 1,000,000
Output Tokens 4,000 4,000
Cost Breakdown
Input Cost $5.000000Best $30.000000Worst
Output Cost $0.100000Best $0.720000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $5.100000 Best Value $30.720000 Most Expensive
Processing Time 1 hour, 8 minutes, 52.03 seconds Slowest 52 minutes, 39.83 seconds Fastest
Tokens per Second 260Slowest 340Fastest
Time to First Token 400ms Worst 260ms Best
Cost per 1K tokens $0.005080 (rounded ~ $0.01)Best $0.030598Worst
Tokens per Dollar 196,863Best Value 32,682Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Best $30.000000Worst
Output Cost / 1M (Base) $25.000000Best $180.000000Worst
Input Cost / 1M (Optimized) $5.000000Best
Optimizations: No optimizations applied
$30.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $25.000000Best
Optimizations: No optimizations applied
$180.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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ℹ️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.

Select AI Model

Claude Opus 4.7
AnthropicMax Context: 1,000,000 tokens
$5 / $25 per 1M tokens
▼
▼
Use Batch API (50% discount)
0%
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

$5.100000 Total Cost
$5.000000 Input Cost
$0.100000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,004,000Total Tokens
$0.005080Cost per 1K
196,863Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

68m 52s 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

$5.100000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 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) $5.100000 Input: $5.000000
Output: $0.100000
Optimized Cost $5.100000 Input: $5.000000
Output: $0.100000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 4,000 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $0.100000
  • Total Cost: $5.100000
  • Cost per 1K tokens: $0.005080 (rounded ~ $0.01)
  • Tokens per dollar: 196,863 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: 1 hour, 8 minutes, 52.03 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for sophisticated multi-agent market analysis where context depth and reasoning accuracy are critical.

GPT-5.5 Pro OpenAI 1000000

$30.720000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
🔧 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) $30.720000 Input: $30.000000
Output: $0.720000
Optimized Cost $30.720000 Input: $30.000000
Output: $0.720000
Unit: $0.000000
Fees: $0.000000

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 4,000 output tokens:

  • Input Cost: $30.000000
  • Output Cost: $0.720000
  • Total Cost: $30.720000
  • Cost per 1K tokens: $0.030598
  • Tokens per dollar: 32,682 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: 52 minutes, 39.83 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for sophisticated multi-agent market analysis where context depth and reasoning accuracy are critical.

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 4,000
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5 Pro
🏆 Grok 4.20 Beta
xAI
 $2.024000 (rounded ~ $2.02) Best Value ↓ 60.3% cheaper ↓ 93.4% cheaper
🥈 Gemini 2.5 Pro
Google
 $2.560000 ↓ 49.8% cheaper ↓ 91.7% cheaper
🥉 Gemini 3.1 Pro
Google
 $4.072000 (rounded ~ $4.07) ↓ 20.2% cheaper ↓ 86.7% cheaper
#4 GPT-5.4
OpenAI
 $5.090000 ↓ 0.2% cheaper ↓ 83.4% cheaper
#5 GPT-5.4 Thinking
OpenAI
 $5.090000 ↓ 0.2% cheaper ↓ 83.4% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $5.090000 ↓ 0.2% cheaper ↓ 83.4% cheaper
🏆

Grok 4.20 Beta
xAI

$2.024000 (rounded ~ $2.02)
vs Claude Opus 4.7: ↓ 60.3%
vs GPT-5.5 Pro: ↓ 93.4%
🥈

Gemini 2.5 Pro
Google

$2.560000
vs Claude Opus 4.7: ↓ 49.8%
vs GPT-5.5 Pro: ↓ 91.7%
🥉

Gemini 3.1 Pro
Google

$4.072000 (rounded ~ $4.07)
vs Claude Opus 4.7: ↓ 20.2%
vs GPT-5.5 Pro: ↓ 86.7%
#4

GPT-5.4
OpenAI

$5.090000
vs Claude Opus 4.7: ↓ 0.2%
vs GPT-5.5 Pro: ↓ 83.4%
#5

GPT-5.4 Thinking
OpenAI

$5.090000
vs Claude Opus 4.7: ↓ 0.2%
vs GPT-5.5 Pro: ↓ 83.4%
#6

GPT-5.4 Thinking
OpenAI

$5.090000
vs Claude Opus 4.7: ↓ 0.2%
vs GPT-5.5 Pro: ↓ 83.4%
✨ 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.

High-Stakes Reasoning for Enterprise Market Analysis

As real estate SaaS products scale toward mid-market and enterprise tiers, the complexity of Comparative Market Analysis (CMA) reports increases exponentially. Moving to a 1 million token context allows agents to ingest entire neighborhood histories, zoning laws, and historical sales data into a single agentic workflow. This comparison evaluates the two premier “frontier” models for their ability to synthesize these massive datasets into actionable investment advice.

Claude Opus 4.7 is widely regarded for its exceptional “thinking” capabilities and nuanced grasp of structured data. In multi-agent orchestration, it acts as a superior “lead architect,” managing worker agents with high reliability and low hallucination rates. Its ability to maintain a consistent “voice” over long-form reports makes it a favorite for teams producing premium, white-labeled research for high-net-worth clients.

GPT-5.5 Pro, on the other hand, is built for heavy-duty agentic orchestration and complex tool-use. If your real estate pipeline relies on calling external APIs for live mortgage rates, property tax records, and transit scores, GPT-5.5 Pro’s reasoning-driven tools often provide higher success rates in multi-step task completion. The choice between them often rests on whether your product prioritizes the creative synthesis of reports or the technical execution of a complex, automated data pipeline. Both models represent the peak of current AI performance for long-context real estate intelligence.

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 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.