Claude Opus 4.7 vs GPT-5.5 Pro: Per-Call Cost for 1M-Token Financial Extraction 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Claude Opus 4.7 has been replaced by Claude Opus 5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: 1,000,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% 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) (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $1.250000Best $7.500000Worst
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 $0.700000 Best Value $7.590000 Most Expensive
Processing Time 1 hour, 5 minutes, 31.10 seconds Slowest 50 minutes, 6.18 seconds Fastest
Tokens per Second 260Slowest 340Fastest
Time to First Token 400ms Worst 260ms Best
Cost per 1K tokens $0.000699Best $0.007575 (rounded ~ $0.01)Worst
Tokens per Dollar 1,431,429Best Value 132,016Worst 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
50
✓ Supported ✗ Not Supported requested
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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)
50%
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

$0.700000 Total Cost
$0.625000 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
1,002,000Total Tokens
$0.000699Cost per 1K
1,431,429Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

65m 31s Processing Time
260 Tokens/Second
400ms Time to First Token
255 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

$0.700000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 50% 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) $1.262500 (rounded ~ $1.26) Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.700000 Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.562500 (rounded ~ $0.56) 44.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.700000
  • Cost per 1K tokens: $0.000699
  • Tokens per dollar: 1,431,429 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, 5 minutes, 31.10 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for high-fidelityrigid extraction tasks. Choose GPT-5.5 Pro for agentic workflows involving multi-step reasoning and external tool integration.

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

$7.590000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 50% 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) $7.590000 Input: $7.500000
Output: $0.090000
Optimized Cost $7.590000 Input: $7.500000
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 1,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $7.500000
  • Output Cost: $0.090000
  • Total Cost: $7.590000
  • Cost per 1K tokens: $0.007575 (rounded ~ $0.01)
  • Tokens per dollar: 132,016 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: 50 minutes, 6.18 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for high-fidelityrigid extraction tasks. Choose GPT-5.5 Pro for agentic workflows involving multi-step reasoning and external tool integration.

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: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5 Pro
🏆 Gemini 3.5 Flash-Lite
Google
 $0.042500 (rounded ~ $0.04) Best Value ↓ 93.9% cheaper ↓ 99.4% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.105000 (rounded ~ $0.11) ↓ 85% cheaper ↓ 98.6% cheaper
🥉 Gemini 3.6 Flash
Google
 $0.210000 ↓ 70% cheaper ↓ 97.2% cheaper
#4 Gemini 2.5 Pro
Google
 $0.702500 (rounded ~ $0.70) ↑ 0.4% more ↓ 90.7% cheaper
#5 GPT-5.4
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 99.6% more ↓ 81.6% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $1.397500 (rounded ~ $1.40) ↑ 99.6% more ↓ 81.6% cheaper
#7 GPT-6 Astra
OpenAI
 $5.600000 ↑ 700% more ↓ 26.2% cheaper
#8 GPT-6 Astra
OpenAI
 $5.600000 ↑ 700% more ↓ 26.2% cheaper
🏆

Gemini 3.5 Flash-Lite
Google

$0.042500 (rounded ~ $0.04)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5 Pro: ↓ 99.4%
🥈

Gemini 3.8 Flash
Google

$0.105000 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.5 Pro: ↓ 98.6%
🥉

Gemini 3.6 Flash
Google

$0.210000
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.5 Pro: ↓ 97.2%
#4

Gemini 2.5 Pro
Google

$0.702500 (rounded ~ $0.70)
vs Claude Opus 4.7: ↑ 0.4%
vs GPT-5.5 Pro: ↓ 90.7%
#5

GPT-5.4
OpenAI

$1.397500 (rounded ~ $1.40)
vs Claude Opus 4.7: ↑ 99.6%
vs GPT-5.5 Pro: ↓ 81.6%
#6

GPT-5.4 Thinking
OpenAI

$1.397500 (rounded ~ $1.40)
vs Claude Opus 4.7: ↑ 99.6%
vs GPT-5.5 Pro: ↓ 81.6%
#7

GPT-6 Astra
OpenAI

$5.600000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↓ 26.2%
#8

GPT-6 Astra
OpenAI

$5.600000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↓ 26.2%
✨ 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 Financial Document Analysis

For healthcare administrators and financial analysts parsing complex 10-K filings, selecting the right model hinges on the balance between reasoning depth and structured output reliability. Both Claude Opus 4.7 and GPT-5.5 Pro offer extensive context windows, making them suitable for long-form document processing where preserving the relationship between footnotes, management discussions, and tabular financial data is critical.

Claude Opus 4.7 is frequently favored for tasks requiring high-fidelity instruction following, particularly when extract schemas are complex and nested. It excels at maintaining the logical structure of a document across large context windows, which is essential when cross-referencing audit trails or regulatory filings. Its reasoning capability helps in nuanced interpretation of qualitative risks buried within lengthy management discussions.

GPT-5.5 Pro provides a strong alternative, especially for teams heavily integrated into agentic workflows. Its specialized capabilities in reasoning and agent orchestration allow it to not only parse documents but potentially trigger multi-step validation processes, such as cross-checking extracted revenue figures against separate regulatory filings. For pipelines that require autonomous decision-making loops or frequent tool calling to external databases, this model often reduces the need for custom-built middleware.

Ultimately, the choice depends on your existing infrastructure. Claude is often the go-to for pure, high-accuracy extraction tasks where instruction adherence is the primary success metric. GPT-5.5 Pro is better suited for organizations building end-to-end autonomous research agents that need to handle complex, multi-modal, or high-reasoning tasks beyond simple text extraction.

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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