Cost per 1M Tokens: GPT-5.4 vs Claude Sonnet 4.6 for A/B Copy

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5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 Sonnet 5 pricing →  ·  All recent pricing changes

GPT-5.4 vs Claude Sonnet 4.6
Complete Comparison: 1,000,000 input tokens × 2,000 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-5.4
OpenAI
Claude Sonnet 4.6
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $2.500000Worst $0.750000Best
Output Cost $0.022500 (rounded ~ $0.02)Worst $0.007500 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $1.397500 (rounded ~ $1.40) Most Expensive $0.420000 Best Value
Processing Time 42 minutes, 32.89 seconds Slowest 39 minutes, 42.71 seconds Fastest
Tokens per Second 420Slowest 450Fastest
Time to First Token 210ms Worst 200ms Best
Cost per 1K tokens $0.001395Worst $0.000419Best
Tokens per Dollar 716,995Worst Value 2,385,714Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $2.500000Worst $0.750000Best
Output Cost / 1M (Base) $11.250000Worst $3.750000Best
Input Cost / 1M (Optimized) $1.250000Worst
Optimizations: 50.0% batch
$0.375000 (rounded ~ $0.38)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $5.625000 (rounded ~ $5.63)Worst
Optimizations: 50.0% batch
$1.875000 (rounded ~ $1.88)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
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Select AI Model

GPT-5.4
OpenAIMax Context: 1,024,000 tokens
$2.5 / $15 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

$1.397500 Total Cost
$1.250000 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
1,002,000Total Tokens
$0.001395Cost per 1K
716,995Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

42m 32s 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-5.4 OpenAI 1024000 🏔️ Context Cliff

$1.397500 (rounded ~ $1.40)
Total Cost
⚡ 50% Cached 📊 Batch API
👁️
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) $2.522500 (rounded ~ $2.52) Input: $2.500000
Output: $0.022500 (rounded ~ $0.02)
Optimized Cost $1.397500 (rounded ~ $1.40) Input: $2.500000
Output: $0.022500 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $1.125000 (rounded ~ $1.13) 44.6% 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 2,000 output tokens:

  • Input Cost: $2.500000
  • Output Cost: $0.022500 (rounded ~ $0.02)
  • Total Cost: $1.397500 (rounded ~ $1.40)
  • Cost per 1K tokens: $0.001395
  • Tokens per dollar: 716,995 tokens
  • Context Window: 1024000 tokens

Speed & Performance Analysis

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

  • Processing Time: 42 minutes, 32.89 seconds
  • Latency: 210 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumestructured product descriptions and A/B testing where consistent brand voice is paramount.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.4. 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 Sonnet 4.6 Anthropic 1000000

$0.420000
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 1,000,000 tokens. Budgeting mode active.
⚡ 50% Cached 📊 Batch API
👁️
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) $0.757500 (rounded ~ $0.76) Input: $0.750000
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.420000 Input: $0.750000
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.337500 (rounded ~ $0.34) 44.6% 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 2,000 output tokens:

  • Input Cost: $0.750000
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.420000
  • Cost per 1K tokens: $0.000419
  • Tokens per dollar: 2,385,714 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

  • Processing Time: 39 minutes, 42.71 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-volumestructured product descriptions and A/B testing where consistent brand voice is paramount.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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-5.4
📋 Active Input Parameters
Input Tokens: 1,000,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Rank AI Model & Provider Total Cost vs GPT-5.4 vs Claude Sonnet 4.6
🏆 Gemini 3.5 Flash-Lite
Google
 $0.042500 (rounded ~ $0.04) Best Value ↓ 97% cheaper ↓ 89.9% cheaper
🥈 Gemini 3.8 Flash
Google
 $0.105000 (rounded ~ $0.11) ↓ 92.5% cheaper ↓ 75% cheaper
🥉 Gemini 3.6 Flash
Google
 $0.210000 ↓ 85% cheaper ↓ 50% cheaper
#4 Gemini 2.5 Pro
Google
 $0.702500 (rounded ~ $0.70) ↓ 49.7% cheaper ↑ 67.3% more
#5 GPT-5.4 Thinking
OpenAI
 $1.397500 (rounded ~ $1.40) Same price ↑ 232.7% more
#6 GPT-6 Astra
OpenAI
 $5.600000 ↑ 300.7% more ↑ 1233.3% more
#7 GPT-6 Astra
OpenAI
 $5.600000 ↑ 300.7% more ↑ 1233.3% more
🏆

Gemini 3.5 Flash-Lite
Google

$0.042500 (rounded ~ $0.04)
vs GPT-5.4: ↓ 97%
vs Claude Sonnet 4.6: ↓ 89.9%
🥈

Gemini 3.8 Flash
Google

$0.105000 (rounded ~ $0.11)
vs GPT-5.4: ↓ 92.5%
vs Claude Sonnet 4.6: ↓ 75%
🥉

Gemini 3.6 Flash
Google

$0.210000
vs GPT-5.4: ↓ 85%
vs Claude Sonnet 4.6: ↓ 50%
#4

Gemini 2.5 Pro
Google

$0.702500 (rounded ~ $0.70)
vs GPT-5.4: ↓ 49.7%
vs Claude Sonnet 4.6: ↑ 67.3%
#5

GPT-5.4 Thinking
OpenAI

$1.397500 (rounded ~ $1.40)
vs GPT-5.4: Same
vs Claude Sonnet 4.6: ↑ 232.7%
#6

GPT-6 Astra
OpenAI

$5.600000
vs GPT-5.4: ↑ 300.7%
vs Claude Sonnet 4.6: ↑ 1233.3%
#7

GPT-6 Astra
OpenAI

$5.600000
vs GPT-5.4: ↑ 300.7%
vs Claude Sonnet 4.6: ↑ 1233.3%
✨ 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.

Optimizing Marketing Copy at Scale

For high-volume e-commerce marketing campaigns, choosing the right foundation model is critical to balancing creative output with operational efficiency. A/B testing twenty variations per product description requires a model that understands brand voice while maintaining strict instruction following across massive datasets.

GPT-5.4 has emerged as a reliable workhorse for general-purpose marketing copy. Its strength lies in structured reasoning and its ability to handle massive batches of product data without drifting from the brand’s core tone. It excels in environments where predictability and rapid, consistent iteration are valued over highly nuanced creative experimentation.

Claude Sonnet 4.6, conversely, offers an edge in complex instruction following and creative flexibility. If your A/B testing strategy involves highly contextual, long-form storytelling or requires blending multiple product features into a single, cohesive narrative, Sonnet 4.6 often produces more natural-sounding, human-like copy. Its ability to navigate complex prompt hierarchies makes it a preferred choice for teams that prioritize high-impact, persuasive messaging over sheer throughput.

Choosing between these two depends on your specific workflow. Use GPT-5.4 when your primary goal is consistent, structured output at scale. Opt for Claude Sonnet 4.6 when the creative nuance of your marketing copy is the primary driver of your conversion rates.

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-5.4 currently costs $2.50 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

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