GPT-5.5 vs Claude Opus 4.7 for 1 Billion Tokens Monthly Marketing Copy

Claude Opus 4.7 has been replaced by Claude Opus 5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

GPT-5.5 vs Claude Opus 4.7
Complete Comparison: 1,000,000,000 input tokens × 1,000 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 GPT-5.5
OpenAI
Claude Opus 4.7
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 1,000,000,000 1,000,000,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $5000.000000Worst $1250.000000Best
Output Cost $0.022500 (rounded ~ $0.02)Worst $0.006250 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2750.022500 (rounded ~ $2,750.02) Most Expensive $687.506250 (rounded ~ $687.51) Best Value
Processing Time 707 hours, 40 minutes, 21.78 seconds Fastest 1143 hours, 9 minutes, 48.91 seconds Slowest
Tokens per Second 420Fastest 260Slowest
Time to First Token 210ms Best 400ms Worst
Cost per 1K tokens $0.002750Worst $0.000688Best
Tokens per Dollar 363,634Worst Value 1,454,534Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $5.000000Worst $1.250000Best
Output Cost / 1M (Base) $22.500000Worst $6.250000Best
Input Cost / 1M (Optimized) $2.500000Worst
Optimizations: 50.0% batch
$0.625000 (rounded ~ $0.63)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $11.250000Worst
Optimizations: 50.0% batch
$3.125000 (rounded ~ $3.13)Best
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
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

GPT-5.5
OpenAIMax Context: 1,000,000 tokens
$5 / $30 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
▼
▼
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

$2750.022500 Total Cost
$2500.000000 Input Cost
$0.022500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
1,000,001,000Total Tokens
$0.002750Cost per 1K
363,634Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

42460m 21s Processing Time
420 Tokens/Second
210ms Time to First Token
393 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-5.5 OpenAI 1000000 🏔️ Context Cliff

$2750.022500 (rounded ~ $2,750.02)
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) $5000.022500 (rounded ~ $5,000.02) Input: $5000.000000
Output: $0.022500 (rounded ~ $0.02)
Optimized Cost $2750.022500 (rounded ~ $2,750.02) Input: $5000.000000
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $2250.000000 45.0% 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 1,000,000,000 input tokens and 1,000 output tokens:

  • Input Cost: $5000.000000
  • Output Cost: $0.022500 (rounded ~ $0.02)
  • Total Cost: $2750.022500 (rounded ~ $2,750.02)
  • Cost per 1K tokens: $0.002750
  • Tokens per dollar: 363,634 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 210ms time to first token:

  • Processing Time: 707 hours, 40 minutes, 21.78 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Choose GPT-5.5 for autonomoushigh-volume pipeline execution. Choose Claude Opus 4.7 for nuance-heavy creative copy.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5. 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

$687.506250 (rounded ~ $687.51)
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) $1250.006250 (rounded ~ $1,250.01) Input: $1250.000000
Output: $0.006250 (rounded ~ $0.01)
Optimized Cost $687.506250 (rounded ~ $687.51) Input: $1250.000000
Output: $0.006250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $562.500000 45.0% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

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

  • Input Cost: $1250.000000
  • Output Cost: $0.006250 (rounded ~ $0.01)
  • Total Cost: $687.506250 (rounded ~ $687.51)
  • Cost per 1K tokens: $0.000688
  • Tokens per dollar: 1,454,534 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: 1143 hours, 9 minutes, 48.91 seconds
  • Latency: 400 milliseconds to first token
  • Base Throughput: 260 tokens/second
  • Effective Throughput: 243 tokens/second (temperature-adjusted)

Best Use Cases

Choose GPT-5.5 for autonomoushigh-volume pipeline execution. Choose Claude Opus 4.7 for nuance-heavy creative copy.

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-5.5
📋 Active Input Parameters
Input Tokens: 1,000,000,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
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.

When scaling marketing copy generation to a 1-billion-token monthly cadence, the choice between GPT-5.5 and Claude Opus 4.7 hinges on your team’s specific creative requirements. GPT-5.5 has emerged as a powerhouse for agentic workflows where instruction-following and tool execution are paramount. Its reasoning capabilities allow it to handle complex, multi-step marketing tasks—like generating hundreds of ad variations while strictly adhering to brand voice and platform constraints—with significantly higher consistency. It is the preferred choice for teams that need an autonomous ‘colleague’ rather than just a chatbot.

Conversely, Claude Opus 4.7 is often favored by creative teams for its nuanced writing style. While GPT-5.5 excels at precise, goal-oriented execution, Claude Opus 4.7 is frequently cited for producing more vibrant, human-sounding copy. If your A/B testing strategy relies heavily on emotional resonance, varied storytelling, or subtle tonal adjustments that require a ‘thoughtful colleague’ feel, Claude Opus 4.7 may provide the qualitative edge. However, it can occasionally require more granular prompt engineering to maintain long-horizon consistency compared to the more rigid, goal-focused nature of GPT-5.5. For enterprise marketers, GPT-5.5 is often the safer bet for large-scale, automated production pipelines, while Claude Opus 4.7 serves as a premium tool for high-impact content where writing quality is the primary differentiator.

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

GPT-5.5 currently costs $5.00 / $30.00 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

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