Long-Form Summarization: GPT-5.4 Pro vs. Claude Opus 4.7 for 1 Million Tokens

GPT-5.4 Pro vs Claude Opus 4.7
Complete Comparison: 1,000,000 input tokens × 2,000 output tokens
Comparison Mode

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

📊 Batch API
Comparison Criteria GPT-5.4 Pro
OpenAI
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $30.000000Worst $1.250000Best
Output Cost $0.270000Worst $0.012500 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $30.270000 Most Expensive $1.262500 (rounded ~ $1.26) Best Value
Processing Time 50 minutes, 6.18 seconds Fastest 1 hour, 7 minutes, 26.72 seconds Slowest
Tokens per Second 350Fastest 260Slowest
Time to First Token 250ms Best 400ms Worst
Cost per 1K tokens $0.030210Worst $0.001260Best
Tokens per Dollar 33,102Worst Value 793,663Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $30.000000Worst $1.250000Best
Output Cost / 1M (Base) $135.000000Worst $6.250000Best
Input Cost / 1M (Optimized) $15.000000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $67.500000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

🔄 Compare Different AI Models

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

Select AI Model

GPT-5.4 Pro
OpenAIMax Context: 1,024,000 tokens
$30 / $180 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
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

$30.000000 Input Cost
$0.270000 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
$0.030210Cost per 1K
33,102Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

50m 6s Processing Time
350 Tokens/Second
250ms Time to First Token
333 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.

GPT-5.4 Pro OpenAI 1024000 🏔️ Context Cliff

$30.270000
Total Cost
📊 Batch API
👁️
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) $30.270000 Input: $30.000000
Output: $0.270000
Optimized Cost $30.270000 Input: $30.000000
Output: $0.270000
Unit: $0.000000
Fees: $0.000000

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

  • Input Cost: $30.000000
  • Output Cost: $0.270000
  • Total Cost: $30.270000
  • Cost per 1K tokens: $0.030210
  • Tokens per dollar: 33,102 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 50 minutes, 6.18 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 333 tokens/second (temperature-adjusted)

Best Use Cases

This comparison helps healthcare administrators choose between two leading models for complex summarization tasksbalancing OpenAI's advanced reasoning capabilities with Anthropic's strong contextual understanding and safety featuresespecially when dealing with extensive medical or legal documents.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4 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 →

Claude Opus 4.7 Anthropic 1000000

$1.262500 (rounded ~ $1.26)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
📊 Batch API
👁️
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 $1.262500 (rounded ~ $1.26) Input: $1.250000
Output: $0.012500 (rounded ~ $0.01)
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: $1.250000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $1.262500 (rounded ~ $1.26)
  • Cost per 1K tokens: $0.001260
  • Tokens per dollar: 793,663 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, 7 minutes, 26.72 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 248 tokens/second (temperature-adjusted)

Best Use Cases

This comparison helps healthcare administrators choose between two leading models for complex summarization tasksbalancing OpenAI's advanced reasoning capabilities with Anthropic's strong contextual understanding and safety featuresespecially when dealing with extensive medical or legal documents.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.4 Pro
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Rank AI Model & Provider Total Cost vs GPT-5.4 Pro vs Claude Opus 4.7
🏆 Llama 4 Scout
Meta AI
$0.080600 Best Value ↓ 99.7% cheaper ↓ 93.6% cheaper
🥈 Grok 4.20 Beta
xAI
$0.503000 (rounded ~ $0.50) ↓ 98.3% cheaper ↓ 60.2% cheaper
🥉 Gemini 2.5 Pro
Google
$1.265000 (rounded ~ $1.27) ↓ 95.8% cheaper ↑ 0.2% more
#4 Gemini 3.1 Pro
Google
$2.018000 (rounded ~ $2.02) ↓ 93.3% cheaper ↑ 59.8% more
#5 GPT-5.4
OpenAI
$2.522500 (rounded ~ $2.52) ↓ 91.7% cheaper ↑ 99.8% more
#6 GPT-5.4
OpenAI
$2.522500 (rounded ~ $2.52) ↓ 91.7% cheaper ↑ 99.8% more
🏆

Llama 4 Scout
Meta AI

$0.080600
vs GPT-5.4 Pro: ↓ 99.7%
vs Claude Opus 4.7: ↓ 93.6%
🥈

Grok 4.20 Beta
xAI

$0.503000 (rounded ~ $0.50)
vs GPT-5.4 Pro: ↓ 98.3%
vs Claude Opus 4.7: ↓ 60.2%
🥉

Gemini 2.5 Pro
Google

$1.265000 (rounded ~ $1.27)
vs GPT-5.4 Pro: ↓ 95.8%
vs Claude Opus 4.7: ↑ 0.2%
#4

Gemini 3.1 Pro
Google

$2.018000 (rounded ~ $2.02)
vs GPT-5.4 Pro: ↓ 93.3%
vs Claude Opus 4.7: ↑ 59.8%
#5

GPT-5.4
OpenAI

$2.522500 (rounded ~ $2.52)
vs GPT-5.4 Pro: ↓ 91.7%
vs Claude Opus 4.7: ↑ 99.8%
#6

GPT-5.4
OpenAI

$2.522500 (rounded ~ $2.52)
vs GPT-5.4 Pro: ↓ 91.7%
vs Claude Opus 4.7: ↑ 99.8%
✨ 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.

When selecting an AI model for summarizing extensive medical documents, comparing top-tier options like OpenAI’s GPT-5.4 Pro and Anthropic’s Claude Opus 4.7 is crucial. Both models boast a 1 million token context window, enabling them to process lengthy texts holistically. GPT-5.4 Pro is known for its advanced reasoning and ability to handle complex logical chains, which can be beneficial for extracting nuanced insights from dense clinical research or lengthy patient records. Claude Opus 4.7, conversely, excels in maintaining factual accuracy and adhering to complex instructions, making it robust for sensitive healthcare documentation where precision is paramount. The choice between them may hinge on specific workflow needs: GPT-5.4 Pro for deeper analytical extraction and Claude Opus 4.7 for consistent, instruction-following summarization of critical information.

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.