Claude Opus 4.7 vs GPT-5.5 Pro: Long-Document Summarization at 500K Tokens

Claude Opus 4.7 has been replaced by Claude Opus 5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
⚡ 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 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 $0.356250 (rounded ~ $0.36) 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 $0.000710Best $0.007649 (rounded ~ $0.01)Worst
Tokens per Dollar 1,409,123Best 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
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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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

$0.356250 Total Cost
$0.312500 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
$0.000710Cost per 1K
1,409,123Tokens 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

$0.356250 (rounded ~ $0.36)
Total Cost
⚡ 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) $0.637500 (rounded ~ $0.64) Input: $0.625000 (rounded ~ $0.63)
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.356250 (rounded ~ $0.36) Input: $0.625000 (rounded ~ $0.63)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.281250 (rounded ~ $0.28) 44.1% 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: $0.356250 (rounded ~ $0.36)
  • Cost per 1K tokens: $0.000710
  • Tokens per dollar: 1,409,123 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

Choose Claude Opus 4.7 for narrative-heavy document review and GPT-5.5 Pro for agenticoperational document parsing.

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
⚡ 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) $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

Choose Claude Opus 4.7 for narrative-heavy document review and GPT-5.5 Pro for agenticoperational document parsing.

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: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.5 Pro
🏆 Gemini 3.1 Flash Lite
Google
 $0.017938 (rounded ~ $0.02) Best Value ↓ 95% cheaper ↓ 99.5% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.021875 (rounded ~ $0.02) ↓ 93.9% cheaper ↓ 99.4% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.021875 (rounded ~ $0.02) ↓ 93.9% cheaper ↓ 99.4% cheaper
#4 Gemini 3.8 Flash
Google
 $0.053438 (rounded ~ $0.05) ↓ 85% cheaper ↓ 98.6% cheaper
#5 GPT-5.6 Luna
OpenAI
 $0.071750 (rounded ~ $0.07) ↓ 79.9% cheaper ↓ 98.1% cheaper
#6 Gemini 3.6 Flash
Google
 $0.106875 (rounded ~ $0.11) ↓ 70% cheaper ↓ 97.2% cheaper
#7 Gemini 3.5 Flash
Google
 $0.107625 (rounded ~ $0.11) ↓ 69.8% cheaper ↓ 97.2% cheaper
#8 Claude Sonnet 5
Anthropic
 $0.142500 (rounded ~ $0.14) ↓ 60% cheaper ↓ 96.3% cheaper
#9 Gemini 3.1 Flash
Google
 $0.143500 (rounded ~ $0.14) ↓ 59.7% cheaper ↓ 96.3% cheaper
#10 GPT-5.6 Terra
OpenAI
 $0.179375 ↓ 49.6% cheaper ↓ 95.3% cheaper
#11 Claude Sonnet 4.6
Anthropic
 $0.213750 (rounded ~ $0.21) ↓ 40% cheaper ↓ 94.4% cheaper
#12 Claude Opus 5
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 90.7% cheaper
#13 Claude Opus 4.8
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 90.7% cheaper
#14 Claude Opus 4.6
Anthropic
 $0.356250 (rounded ~ $0.36) Same price ↓ 90.7% cheaper
#15 Gemini 2.5 Pro
Google
 $0.358750 (rounded ~ $0.36) ↑ 0.7% more ↓ 90.7% cheaper
#16 GPT-5.6 Sol
OpenAI
 $0.358750 (rounded ~ $0.36) ↑ 0.7% more ↓ 90.7% cheaper
#17 Grok 4.3
xAI
 $0.558000 (rounded ~ $0.56) ↑ 56.6% more ↓ 85.5% cheaper
#18 Grok 4.20 Beta
xAI
 $0.558000 (rounded ~ $0.56) ↑ 56.6% more ↓ 85.5% cheaper
#19 Gemini 3.1 Pro
Google
 $0.568000 (rounded ~ $0.57) ↑ 59.4% more ↓ 85.2% cheaper
#20 Claude Fable 5.1
Anthropic
 $0.665625 (rounded ~ $0.67) ↑ 86.8% more ↓ 82.7% cheaper
#21 Claude Mythos 5.1
Anthropic
 $0.665625 (rounded ~ $0.67) ↑ 86.8% more ↓ 82.7% cheaper
#22 GPT-5.4
OpenAI
 $0.710000 ↑ 99.3% more ↓ 81.5% cheaper
#23 GPT-5.4 Thinking
OpenAI
 $0.710000 ↑ 99.3% more ↓ 81.5% cheaper
#24 Claude Fable 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↑ 100% more ↓ 81.4% cheaper
#25 Claude Mythos 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↑ 100% more ↓ 81.4% cheaper
#26 GPT-5.5
OpenAI
 $1.420000 ↑ 298.6% more ↓ 63% cheaper
#27 GPT-6 Astra
OpenAI
 $2.850000 ↑ 700% more ↓ 25.8% cheaper
#28 GPT-6 Astra
OpenAI
 $2.850000 ↑ 700% more ↓ 25.8% cheaper
🏆

Gemini 3.1 Flash Lite
Google

$0.017938 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 95%
vs GPT-5.5 Pro: ↓ 99.5%
🥈

Gemini 3.5 Flash-Lite
Google

$0.021875 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5 Pro: ↓ 99.4%
🥉

Gemini 2.5 Flash
Google

$0.021875 (rounded ~ $0.02)
vs Claude Opus 4.7: ↓ 93.9%
vs GPT-5.5 Pro: ↓ 99.4%
#4

Gemini 3.8 Flash
Google

$0.053438 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.5 Pro: ↓ 98.6%
#5

GPT-5.6 Luna
OpenAI

$0.071750 (rounded ~ $0.07)
vs Claude Opus 4.7: ↓ 79.9%
vs GPT-5.5 Pro: ↓ 98.1%
#6

Gemini 3.6 Flash
Google

$0.106875 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.5 Pro: ↓ 97.2%
#7

Gemini 3.5 Flash
Google

$0.107625 (rounded ~ $0.11)
vs Claude Opus 4.7: ↓ 69.8%
vs GPT-5.5 Pro: ↓ 97.2%
#8

Claude Sonnet 5
Anthropic

$0.142500 (rounded ~ $0.14)
vs Claude Opus 4.7: ↓ 60%
vs GPT-5.5 Pro: ↓ 96.3%
#9

Gemini 3.1 Flash
Google

$0.143500 (rounded ~ $0.14)
vs Claude Opus 4.7: ↓ 59.7%
vs GPT-5.5 Pro: ↓ 96.3%
#10

GPT-5.6 Terra
OpenAI

$0.179375
vs Claude Opus 4.7: ↓ 49.6%
vs GPT-5.5 Pro: ↓ 95.3%
#11

Claude Sonnet 4.6
Anthropic

$0.213750 (rounded ~ $0.21)
vs Claude Opus 4.7: ↓ 40%
vs GPT-5.5 Pro: ↓ 94.4%
#12

Claude Opus 5
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 90.7%
#13

Claude Opus 4.8
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 90.7%
#14

Claude Opus 4.6
Anthropic

$0.356250 (rounded ~ $0.36)
vs Claude Opus 4.7: Same
vs GPT-5.5 Pro: ↓ 90.7%
#15

Gemini 2.5 Pro
Google

$0.358750 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 0.7%
vs GPT-5.5 Pro: ↓ 90.7%
#16

GPT-5.6 Sol
OpenAI

$0.358750 (rounded ~ $0.36)
vs Claude Opus 4.7: ↑ 0.7%
vs GPT-5.5 Pro: ↓ 90.7%
#17

Grok 4.3
xAI

$0.558000 (rounded ~ $0.56)
vs Claude Opus 4.7: ↑ 56.6%
vs GPT-5.5 Pro: ↓ 85.5%
#18

Grok 4.20 Beta
xAI

$0.558000 (rounded ~ $0.56)
vs Claude Opus 4.7: ↑ 56.6%
vs GPT-5.5 Pro: ↓ 85.5%
#19

Gemini 3.1 Pro
Google

$0.568000 (rounded ~ $0.57)
vs Claude Opus 4.7: ↑ 59.4%
vs GPT-5.5 Pro: ↓ 85.2%
#20

Claude Fable 5.1
Anthropic

$0.665625 (rounded ~ $0.67)
vs Claude Opus 4.7: ↑ 86.8%
vs GPT-5.5 Pro: ↓ 82.7%
#21

Claude Mythos 5.1
Anthropic

$0.665625 (rounded ~ $0.67)
vs Claude Opus 4.7: ↑ 86.8%
vs GPT-5.5 Pro: ↓ 82.7%
#22

GPT-5.4
OpenAI

$0.710000
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.5 Pro: ↓ 81.5%
#23

GPT-5.4 Thinking
OpenAI

$0.710000
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.5 Pro: ↓ 81.5%
#24

Claude Fable 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5 Pro: ↓ 81.4%
#25

Claude Mythos 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs Claude Opus 4.7: ↑ 100%
vs GPT-5.5 Pro: ↓ 81.4%
#26

GPT-5.5
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 298.6%
vs GPT-5.5 Pro: ↓ 63%
#27

GPT-6 Astra
OpenAI

$2.850000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↓ 25.8%
#28

GPT-6 Astra
OpenAI

$2.850000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↓ 25.8%
✨ 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 OCR specialists managing complex archives, selecting between Claude Opus 4.7 and GPT-5.5 Pro often comes down to the nature of the reasoning required. Claude Opus 4.7 has established a reputation for its nuanced comprehension of dense, multi-page legal and historical documents, excelling at capturing the subtle intent behind fragmented or archaic text. Its ability to maintain coherence across massive context windows makes it a preferred choice for deep due diligence or comprehensive document review where global context is as critical as individual page content.

Conversely, GPT-5.5 Pro offers significant advantages for agentic workflows. If the document summarization pipeline is merely a precursor to downstream actions—such as routing documents to specific departments, triggering API workflows, or generating structured metadata for a database—GPT-5.5 Pro’s reasoning and integration capabilities provide a more robust framework. It is particularly effective when the goal is not just to summarize, but to extract structured intelligence that a downstream agent can act upon.

Decision factors for this tier of summarization go beyond raw IQ. Claude Opus 4.7 often feels more natural for narrative-heavy document analysis, providing summaries that mirror human reading comprehension. GPT-5.5 Pro is the engine of choice for highly technical or operational document parsing where reliability in function calling and tool usage is non-negotiable. For 500K-token documents, test both with your specific document taxonomy; the difference in how they handle nested tables and handwritten side-notes can be the deciding factor.

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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