Claude Opus 4.7 vs GPT-5.4 Pro: 1M-Token Context Cost for Legal Discovery

Claude Opus 4.7 vs GPT-5.4 Pro
Complete Comparison: 1,000,000 input tokens × 4,000 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-5.4 Pro
OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 4,000 4,000
Cost Breakdown
Input Cost $1.250000Best $30.000000Worst
Output Cost $0.025000 (rounded ~ $0.03)Best $0.540000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.712500 (rounded ~ $0.71) Best Value $17.040000 Most Expensive
Processing Time 1 hour, 6 minutes, 17.56 seconds Slowest 49 minutes, 14.81 seconds Fastest
Tokens per Second 260Slowest 350Fastest
Time to First Token 400ms Worst 250ms Best
Cost per 1K tokens $0.000710Best $0.016972 (rounded ~ $0.02)Worst
Tokens per Dollar 1,409,123Best Value 58,920Worst 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
50
✓ Supported ✓ 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)
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

$0.712500 Total Cost
$0.625000 Input Cost
$0.025000 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
$0.000710Cost per 1K
1,409,123Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

66m 17s Processing Time
260 Tokens/Second
400ms Time to First Token
252 Effective Speed

Model Comparison

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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

$0.712500 (rounded ~ $0.71)
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) $1.275000 (rounded ~ $1.28) Input: $1.250000
Output: $0.025000 (rounded ~ $0.03)
Optimized Cost $0.712500 (rounded ~ $0.71) Input: $1.250000
Output: $0.025000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.562500 (rounded ~ $0.56) 44.1% 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 4,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.025000 (rounded ~ $0.03)
  • Total Cost: $0.712500 (rounded ~ $0.71)
  • 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: 1 hour, 6 minutes, 17.56 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 superior instruction following in complex contracts; use GPT-5.4 Pro for agentic workflows requiring multi-step tool verification.

GPT-5.4 Pro OpenAI 1024000 🏔️ Context Cliff

$17.040000
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) $30.540000 Input: $30.000000
Output: $0.540000
Optimized Cost $17.040000 Input: $30.000000
Output: $0.540000
Unit: $0.000000
Fees: $0.000000
Total Savings $13.500000 44.2% 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 1,000,000 input tokens and 4,000 output tokens:

  • Input Cost: $30.000000
  • Output Cost: $0.540000
  • Total Cost: $17.040000
  • Cost per 1K tokens: $0.016972 (rounded ~ $0.02)
  • Tokens per dollar: 58,920 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: 49 minutes, 14.81 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 340 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 4.7 for superior instruction following in complex contracts; use GPT-5.4 Pro for agentic workflows requiring multi-step tool verification.

✨ Market Recommendations AI Model Registry

← Back to Claude Opus 4.7
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 4,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.4 Pro
🏆 Grok 4.20 Beta
xAI
 $0.281000 (rounded ~ $0.28) Best Value ↓ 60.6% cheaper ↓ 98.4% cheaper
🥈 Gemini 2.5 Pro
Google
 $0.717500 (rounded ~ $0.72) ↑ 0.7% more ↓ 95.8% cheaper
🥉 Gemini 3.1 Pro
Google
 $1.136000 (rounded ~ $1.14) ↑ 59.4% more ↓ 93.3% cheaper
#4 GPT-5.4
OpenAI
 $1.420000 ↑ 99.3% more ↓ 91.7% cheaper
#5 GPT-5.4 Thinking
OpenAI
 $1.420000 ↑ 99.3% more ↓ 91.7% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $1.420000 ↑ 99.3% more ↓ 91.7% cheaper
🏆

Grok 4.20 Beta
xAI

$0.281000 (rounded ~ $0.28)
vs Claude Opus 4.7: ↓ 60.6%
vs GPT-5.4 Pro: ↓ 98.4%
🥈

Gemini 2.5 Pro
Google

$0.717500 (rounded ~ $0.72)
vs Claude Opus 4.7: ↑ 0.7%
vs GPT-5.4 Pro: ↓ 95.8%
🥉

Gemini 3.1 Pro
Google

$1.136000 (rounded ~ $1.14)
vs Claude Opus 4.7: ↑ 59.4%
vs GPT-5.4 Pro: ↓ 93.3%
#4

GPT-5.4
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.4 Pro: ↓ 91.7%
#5

GPT-5.4 Thinking
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.4 Pro: ↓ 91.7%
#6

GPT-5.4 Thinking
OpenAI

$1.420000
vs Claude Opus 4.7: ↑ 99.3%
vs GPT-5.4 Pro: ↓ 91.7%
✨ 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.

Analyzing High-Stakes Legal Discovery

In the realm of legal contract review, context is everything. When evaluating 50-page agreements for multi-clause dependencies, the ability to maintain a coherent internal model across massive datasets is the primary differentiator between standard automation and true enterprise-grade intelligence. Customer support leads deploying these systems must decide between the raw reasoning depth of GPT-5.4 Pro and the nuanced, instruction-following precision of Claude Opus 4.7.

Claude Opus 4.7 is frequently selected for its sophisticated handling of complex, multi-step instructions, making it ideal for extracting subtle legal nuances that require cross-referencing disparate sections of a document. Its output tends to be more concise and aligned with specific formatting requirements, which reduces the need for secondary post-processing. On the other hand, GPT-5.4 Pro offers a robust agentic capability, excelling when the task requires the model to interact with external tools or perform iterative reasoning steps to verify its own findings.

For high-volume RAG pipelines where the goal is to serve legal analysts with high-fidelity summaries and risk assessments, the choice often hinges on the specific complexity of the legal language. While both models handle the million-token threshold, the internal attention mechanisms differ; one prioritizes linguistic fluidity while the other excels at structured logic and tool integration.

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.