Claude Opus 4.7 vs GPT-5.5 Pro for 1 Million-Token Script Writing Pipelines

Claude Opus 4.7 has been replaced by Claude Opus 5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: 1,000,000 input tokens × 8,000 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 1,000,000 1,000,000
Output Tokens 8,000 8,000
Cost Breakdown
Input Cost $1.250000Best $7.500000Worst
Output Cost $0.050000Best $0.360000Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.737500 (rounded ~ $0.74) Best Value $7.860000 Most Expensive
Processing Time 1 hour, 9 minutes, 8.49 seconds Slowest 52 minutes, 52.42 seconds Fastest
Tokens per Second 260Slowest 340Fastest
Time to First Token 400ms Worst 260ms Best
Cost per 1K tokens $0.000732Best $0.007798 (rounded ~ $0.01)Worst
Tokens per Dollar 1,366,780Best Value 128,244Worst 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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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

$0.737500 Total Cost
$0.625000 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
$0.000732Cost per 1K
1,366,780Tokens 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

$0.737500 (rounded ~ $0.74)
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) $1.300000 Input: $1.250000
Output: $0.050000
Optimized Cost $0.737500 (rounded ~ $0.74) Input: $1.250000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.562500 (rounded ~ $0.56) 43.3% 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: $0.737500 (rounded ~ $0.74)
  • Cost per 1K tokens: $0.000732
  • Tokens per dollar: 1,366,780 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

Ideal for high-stakeslong-form creative video scripts where maintaining tone and pedagogical flow over thousands of tokens is essential.

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

$7.860000
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
✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $7.860000 Input: $7.500000
Output: $0.360000
Optimized Cost $7.860000 Input: $7.500000
Output: $0.360000
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 8,000 output tokens:

  • Input Cost: $7.500000
  • Output Cost: $0.360000
  • Total Cost: $7.860000
  • Cost per 1K tokens: $0.007798 (rounded ~ $0.01)
  • Tokens per dollar: 128,244 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: 52 minutes, 52.42 seconds
  • Latency: 260 milliseconds to first token
  • Base Throughput: 340 tokens/second
  • Effective Throughput: 318 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-stakeslong-form creative video scripts where maintaining tone and pedagogical flow over thousands of tokens is essential.

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: 1,000,000
Output Tokens: 8,000
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 3.5 Flash-Lite
Google
 $0.046250 (rounded ~ $0.05) Best Value ↓ 93.7% cheaper ↓ 99.4% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.110625 ↓ 85% cheaper ↓ 98.6% cheaper
🥉 Gemini 3.6 Flash
Google
 $0.221250 (rounded ~ $0.22) ↓ 70% cheaper ↓ 97.2% cheaper
#4 Gemini 2.5 Pro
Google
 $0.747500 (rounded ~ $0.75) ↑ 1.4% more ↓ 90.5% cheaper
#5 GPT-5.4
OpenAI
 $1.465000 (rounded ~ $1.47) ↑ 98.6% more ↓ 81.4% cheaper
#6 GPT-5.4 Thinking
OpenAI
 $1.465000 (rounded ~ $1.47) ↑ 98.6% more ↓ 81.4% cheaper
#7 GPT-6 Astra
OpenAI
 $5.900000 ↑ 700% more ↓ 24.9% cheaper
#8 GPT-6 Astra
OpenAI
 $5.900000 ↑ 700% more ↓ 24.9% cheaper
🏆

Gemini 3.5 Flash-Lite
Google

$0.046250 (rounded ~ $0.05)
vs Claude Opus 4.7: ↓ 93.7%
vs GPT-5.5 Pro: ↓ 99.4%
🥈

Gemini 3.8 Flash
Google

$0.110625
vs Claude Opus 4.7: ↓ 85%
vs GPT-5.5 Pro: ↓ 98.6%
🥉

Gemini 3.6 Flash
Google

$0.221250 (rounded ~ $0.22)
vs Claude Opus 4.7: ↓ 70%
vs GPT-5.5 Pro: ↓ 97.2%
#4

Gemini 2.5 Pro
Google

$0.747500 (rounded ~ $0.75)
vs Claude Opus 4.7: ↑ 1.4%
vs GPT-5.5 Pro: ↓ 90.5%
#5

GPT-5.4
OpenAI

$1.465000 (rounded ~ $1.47)
vs Claude Opus 4.7: ↑ 98.6%
vs GPT-5.5 Pro: ↓ 81.4%
#6

GPT-5.4 Thinking
OpenAI

$1.465000 (rounded ~ $1.47)
vs Claude Opus 4.7: ↑ 98.6%
vs GPT-5.5 Pro: ↓ 81.4%
#7

GPT-6 Astra
OpenAI

$5.900000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↓ 24.9%
#8

GPT-6 Astra
OpenAI

$5.900000
vs Claude Opus 4.7: ↑ 700%
vs GPT-5.5 Pro: ↓ 24.9%
✨ 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 EdTech teams producing long-form video scripts, balancing creative flair with structural consistency is paramount. Both Claude Opus 4.7 and GPT-5.5 Pro offer substantial context windows, allowing them to ingest extensive curriculum guidelines, character bibles, and pedagogical frameworks without losing the thread of a lesson plan. Claude Opus 4.7 has earned a reputation for its sophisticated narrative voice, making it particularly effective for scriptwriting where emotional resonance and human-like cadence are critical for student engagement. It excels at maintaining complex, multi-layered storylines across long-form content, reducing the need for manual retakes during the editing phase.

GPT-5.5 Pro, by contrast, brings a robust reasoning-first approach to content production. Its architectural strengths make it highly effective for structured content, such as instructional tutorials or technical scripts where precision and logical flow are non-negotiable. When managing a pipeline of 1 million tokens, the choice often comes down to the desired output style: Claude Opus 4.7 for scripts requiring high narrative nuance and GPT-5.5 Pro for scripts requiring strict adherence to logical instructional frameworks. Both models support high-volume processing, but development teams should consider how their specific prompt engineering workflows interact with these models’ distinct reasoning styles. For teams aiming to scale production while maintaining educational accuracy, testing both against a sample curriculum module is the recommended path before committing to a full deployment.

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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