Claude Opus 4.7 vs GPT-5.4 Pro for 100M-Token Financial Analysis

Claude Opus 4.7 has been replaced by Claude Opus 5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-5.4 Pro
Complete Comparison: 100,000,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 60% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 60% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria Claude Opus 4.7
Anthropic
GPT-5.4 Pro
OpenAI
Calculation Results (Current Inputs) (60% cached)
Input Tokens 100,000,000 100,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $125.000000Best $3000.000000Worst
Output Cost $0.012500 (rounded ~ $0.01)Best $0.270000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $57.512500 (rounded ~ $57.51) Best Value $1380.270000 Most Expensive
Processing Time 108 hours, 58 minutes, 35.72 seconds Slowest 80 hours, 57 minutes, 14.58 seconds Fastest
Tokens per Second 260Slowest 350Fastest
Time to First Token 400ms Worst 250ms Best
Cost per 1K tokens $0.000575Best $0.013802 (rounded ~ $0.01)Worst
Tokens per Dollar 1,738,787Best Value 72,451Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.250000Best $30.000000Worst
Output Cost / 1M (Base) $6.250000Best $135.000000Worst
Input Cost / 1M (Optimized) $0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
$15.000000Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $3.125000 (rounded ~ $3.13)Best
Optimizations: 50.0% batch
$67.500000Worst
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
60
✓ 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

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)
60%
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

$57.512500 Total Cost
$50.000000 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
100,002,000Total Tokens
$0.000575Cost per 1K
1,738,787Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

6538m 35s 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

$57.512500 (rounded ~ $57.51)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 60% 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) $125.012500 (rounded ~ $125.01) Input: $125.000000
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $57.512500 (rounded ~ $57.51) Input: $125.000000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $67.500000 54.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $125.000000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $57.512500 (rounded ~ $57.51)
  • Cost per 1K tokens: $0.000575
  • Tokens per dollar: 1,738,787 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: 108 hours, 58 minutes, 35.72 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 255 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-stakes financial analysis where structured extraction accuracy and long-context reasoning are required for compliance-grade reporting.

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-5.4 Pro OpenAI 1024000 🏔️ Context Cliff

$1380.270000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,024,000 tokens. Budgeting mode active.
⚡ 60% 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) $3000.270000 Input: $3000.000000
Output: $0.270000
Optimized Cost $1380.270000 Input: $3000.000000
Output: $0.270000
Unit: $0.000000
Fees: $0.000000
Total Savings $1620.000000 54.0% discount

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 100,000,000 input tokens and 2,000 output tokens:

  • Input Cost: $3000.000000
  • Output Cost: $0.270000
  • Total Cost: $1380.270000
  • Cost per 1K tokens: $0.013802 (rounded ~ $0.01)
  • Tokens per dollar: 72,451 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: 80 hours, 57 minutes, 14.58 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 343 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-stakes financial analysis where structured extraction accuracy and long-context reasoning are required for compliance-grade reporting.

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 →

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 100,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 60%
Tools: Enabled
🔍
No Alternatives Found
No other models in the registry support all your current input parameters. Try adjusting some parameters to see more options.
Remove Images Remove Video Remove Audio Remove OCR Remove Tools
✨ 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.

Financial earnings analysis, particularly involving 10-K filings, requires a delicate balance of deep reasoning and structural adherence. For enterprise teams processing hundreds of millions of tokens, the choice between Claude Opus 4.7 and GPT-5.4 Pro hinges on the specific nature of your extraction pipeline. Claude Opus 4.7 has demonstrated significant reliability in handling complex, long-running agentic workflows. Its architecture is particularly suited for maintaining consistency when parsing dense, multi-page regulatory documents where maintaining the integrity of financial tables is paramount. The model’s ability to self-correct during multi-step reasoning processes reduces the need for human-in-the-loop review in many high-volume diligence tasks.

Conversely, GPT-5.4 Pro excels when your analysis demands high-frequency reasoning across broader datasets. If your pipeline involves not just parsing but also comparative synthesis—such as cross-referencing earnings transcripts against historical 10-K data—GPT-5.4 Pro often shows a slight advantage in synthesis speed and logical agility. The decision factor here is often the tolerance for latency versus the need for extreme structural precision. Teams prioritizing raw, defensible structured data extraction for automated modeling will likely lean toward Opus, while those focusing on rapid, ad-hoc research and synthesis may find the efficiency of GPT-5.4 Pro more compelling. Both models offer robust tool use, but evaluating their performance on your specific document schema—rather than general benchmarks—is the final step in your vendor selection process.

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.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →