1 Million Tokens for Script Production: Claude Opus 4.7 vs GPT-5.4 Pro

Claude Opus 4.7 vs GPT-5.4 Pro
Complete Comparison: 1,000,000 input tokens × 8,000 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% 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) (20% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 8,000 8,000
Cost Breakdown
Input Cost $1.250000Best $30.000000Worst
Output Cost $0.050000Best $1.080000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.075000 (rounded ~ $1.08) Best Value $25.680000 Most Expensive
Processing Time 1 hour, 9 minutes, 8.49 seconds Slowest 51 minutes, 21.78 seconds Fastest
Tokens per Second 260Slowest 350Fastest
Time to First Token 400ms Worst 250ms Best
Cost per 1K tokens $0.001066Best $0.025476 (rounded ~ $0.03)Worst
Tokens per Dollar 937,674Best Value 39,252Worst 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
20
✓ 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)
20%
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

$1.075000 Total Cost
$1.000000 Input Cost
$0.050000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,008,000Total Tokens
$0.001066Cost per 1K
937,674Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

69m 8s Processing Time
260 Tokens/Second
400ms Time to First Token
243 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

$1.075000 (rounded ~ $1.08)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 20% 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) $1.300000 Input: $1.250000
Output: $0.050000
Optimized Cost $1.075000 (rounded ~ $1.08) Input: $1.250000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.225000 (rounded ~ $0.23) 17.3% 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 8,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.050000
  • Total Cost: $1.075000 (rounded ~ $1.08)
  • Cost per 1K tokens: $0.001066
  • Tokens per dollar: 937,674 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, 9 minutes, 8.49 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

High-end video script production requiring deep reasoning and long-context synthesis for technical or creative YouTube channels.

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

$25.680000
Total Cost
⚡ 20% 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) $31.080000 Input: $30.000000
Output: $1.080000
Optimized Cost $25.680000 Input: $30.000000
Output: $1.080000
Unit: $0.000000
Fees: $0.000000
Total Savings $5.400000 17.4% 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 8,000 output tokens:

  • Input Cost: $30.000000
  • Output Cost: $1.080000
  • Total Cost: $25.680000
  • Cost per 1K tokens: $0.025476 (rounded ~ $0.03)
  • Tokens per dollar: 39,252 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: 51 minutes, 21.78 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second (temperature-adjusted)

Best Use Cases

High-end video script production requiring deep reasoning and long-context synthesis for technical or creative YouTube channels.

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: 1,000,000
Output Tokens: 8,000
Batch API: Enabled (50% discount)
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Opus 4.7 vs GPT-5.4 Pro
🏆 Grok 4.20 Beta
xAI
 $0.422000 (rounded ~ $0.42) Best Value ↓ 60.7% cheaper ↓ 98.4% cheaper
🥈 Gemini 2.5 Pro
Google
 $1.085000 (rounded ~ $1.09) ↑ 0.9% more ↓ 95.8% cheaper
🥉 Gemini 3.1 Pro
Google
 $1.712000 (rounded ~ $1.71) ↑ 59.3% more ↓ 93.3% cheaper
#4 GPT-5.4
OpenAI
 $2.140000 ↑ 99.1% more ↓ 91.7% cheaper
#5 GPT-5.4 Thinking
OpenAI
 $2.140000 ↑ 99.1% more ↓ 91.7% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $2.140000 ↑ 99.1% more ↓ 91.7% cheaper
🏆

Grok 4.20 Beta
xAI

$0.422000 (rounded ~ $0.42)
vs Claude Opus 4.7: ↓ 60.7%
vs GPT-5.4 Pro: ↓ 98.4%
🥈

Gemini 2.5 Pro
Google

$1.085000 (rounded ~ $1.09)
vs Claude Opus 4.7: ↑ 0.9%
vs GPT-5.4 Pro: ↓ 95.8%
🥉

Gemini 3.1 Pro
Google

$1.712000 (rounded ~ $1.71)
vs Claude Opus 4.7: ↑ 59.3%
vs GPT-5.4 Pro: ↓ 93.3%
#4

GPT-5.4
OpenAI

$2.140000
vs Claude Opus 4.7: ↑ 99.1%
vs GPT-5.4 Pro: ↓ 91.7%
#5

GPT-5.4 Thinking
OpenAI

$2.140000
vs Claude Opus 4.7: ↑ 99.1%
vs GPT-5.4 Pro: ↓ 91.7%
#6

GPT-5.4 Thinking
OpenAI

$2.140000
vs Claude Opus 4.7: ↑ 99.1%
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.

Choosing a Powerhouse for Script Development

Scaling a YouTube channel to professional SaaS-level production requires AI models that can process vast amounts of research while maintaining a consistent creative voice. For teams processing 1 million tokens monthly, the choice between Claude Opus 4.7 and GPT-5.4 Pro often comes down to the specific stylistic needs of the content. Both models sit at the frontier of reasoning, making them ideal for synthesizing complex technical documentation into engaging video scripts.

Claude Opus 4.7 is renowned for its nuanced, human-like prose and exceptional adherence to complex personas. In scriptwriting, this translates to dialogue that feels less “robotic” and requires fewer manual edits to match a creator’s unique tone. It excels in creative transitions and maintaining thematic depth throughout an 8,000-word output.

On the other hand, GPT-5.4 Pro offers robust multi-step reasoning and a highly structured approach to content generation. For SaaS founders producing tutorial-style content or deep-dive product explainers, this model provides superior consistency in technical accuracy and structural organization. Its ability to follow rigorous B-roll cues and visual formatting makes it a favorite for production teams with high-efficiency pipelines.

When evaluating these options, consider your primary bottleneck: Is it the creative spark and tone (Claude), or the technical precision and structural complexity (OpenAI)? Both models offer the high context windows necessary to ingest multiple sources and previous transcripts for reference.

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.