GPT-5 vs Claude 4.5: 2026 Pricing Comparison for Enterprise Workloads

gpt-5 vs claude-opus-4.5
Complete Comparison: 1,000,000 input tokens × 500,000 output tokens
Comparison Mode (Custom field comparison)

Complete comparison of pricing, performance, and capabilities for 2 leading AI models and caching optimization .

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria gpt-5
OpenAI
claude-opus-4.5
Anthropic
Input Parameters Applied (50% cached)
Input Tokens 1,000,000 1,000,000
Output Tokens 500,000 500,000
Calculation Results
Input Cost $1.750000 Best $5.000000 Worst
Output Cost $7.000000 Best $12.500000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $8.800000 Best Value $17.550000 Most Expensive
Processing Time 58 minutes, 20.00 seconds Slowest 52 minutes, 30.00 seconds Fastest
Tokens per Second 450 Slowest 500 Fastest
Time to First Token 200ms 200ms
Cost per 1K tokens $0.002688 (rounded ~ 0.00) Best $0.011700 (rounded ~ 0.01) Worst
Tokens per Dollar 372,093 Best Value 85,470 Worst Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $1.750000 Best $5.000000 Worst
Output Cost / 1M (Base) $14.000000 Best $25.000000 Worst
Input Cost / 1M (Optimized) $0.875000 (rounded ~ 0.88) Best
Optimizations: 50.0% batch
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $7.000000 Best
Optimizations: 50.0% batch
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ Supported ✗ Not Supported
Batch API Support ✓ Enabled ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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🔄 Compare Different AI Models

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Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

ℹ️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.

Select AI Model

Gpt 5
OpenAIMax Context: 400,000 tokens
Input: $1.750000 / 1M
Output: $14.000000 / 1M

Calculate Token Costs

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▼
Provider-specific multipliers applied after all calculations
Enable for Haiku 4.5 hard cap bypass
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.
Multiply total cost by quantity for project budgeting
$4.031250Total Cost
$1.750000Input Cost
$7.000000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
1,500,000Total Tokens
$0.002688Cost per 1K
372,093Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
58m 20sProcessing Time
450Tokens/Second
200msTime to First Token
429Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
50%
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data (Pro: $4.50/1M/hr, Flash: $1.00/1M/hr)
First 50 hours free, $0.05/hour after (reset at 00:00 UTC)
🧠 Specialized Modes
Enable Thinking Mode (Google models)
Manual thinking tokens (billed at output rate, disabled by default)
Adaptive thinking token estimation for DeepSeek models
30% output surcharge (Vertex AI priority)
Billed at output rate × reasoning multiplier
Global 2x multiplier for priority processing
Enable Reasoning/Thinking Mode (DeepSeek R1, Grok Deep Reason)
Enable Agentic Swarm
🔧 Automated Service Fees
Enable for DeepSeek V4 ($0.01 per 1M tokens)
Enable code execution (adds $0.05 flat fee)
$0.01 per query (auto-applied based on Search Queries input)
🤖 xAI Agent Tools (Unified $5.00/1k)
Real-time X data access calls
Standard internet search calls
Python sandbox execution calls (overrides flat fee if set)
📚 xAI RAG Tools (Unified $2.50/1k)
File search tool access
Collections/RAG knowledge base access - aggregated with File Search at $2.50/1k
ℹ️ Updated xAI Tool Pricing: Agent tools (web, X, code) at $5.00/1k calls. RAG tools (collections, file) at $2.50/1k calls. Integer code_execution_calls overrides boolean.
🎤 Realtime Audio & Deep Research
Enable Deep Research ($2.00/$8.00 rates)
Session length for billing ($0.01 per minute, rounded up)
Active speech time within session
📄 Mistral AI - Unit-Based Options
Number of pages to process with OCR (tiered pricing auto-applied)
Enable HTML table reconstruction surcharge
Duration-based audio processing (not token-based)
Enable speaker diarization (Voxtral models only)
Enable context biasing (Voxtral models only)
🔬 Research & Citation
Enable research tier pricing ($2.00/$8.00 + $0.005/query)
Enable reasoning with 1,000 token floor ($0.015 min)
Fee per source cited when research mode is enabled
⚙️ Performance Tuning
Low = Fast
High = Creative
📊 Advanced Cost Breakdown
📊 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 OpenAI

$8.800000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 400,000 tokens.
👁️
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

Base Cost (No Optimizations) $8.800000 Input: $1.750000
Output: $7.000000
Optimized Cost $8.800000 Input: $1.750000
Output: $7.000000
Unit: $0.000000
Fees: $0.050000
Total Savings $4.768750 (rounded ~ 4.77) 54.2% discount

Advanced Cost Breakdown

📊 Batch API
50.0% off
Asynchronous processing
💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 500,000 output tokens:

  • Input Cost: $1.750000
  • Output Cost: $7.000000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $8.800000
  • Cost per 1K tokens: $0.002688 (rounded ~ 0.00)
  • Tokens per dollar: 372,093 tokens
  • Context Window: 400000 tokens

Speed & Performance Analysis

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

  • Processing Time: 58 minutes, 20.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 429 tokens/second

Best Use Cases

Enterprise AIComplex reasoningBusiness automation

claude-opus-4.5 Anthropic 1000000

$17.550000
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✗ Not Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
⚡
Caching
✗ Not Available

💰 Total Cost Calculation

Base Cost (No Optimizations) $17.550000 Input: $5.000000
Output: $12.500000
Optimized Cost $17.550000 Input: $5.000000
Output: $12.500000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 1,000,000 input tokens and 500,000 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $12.500000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $17.550000
  • Cost per 1K tokens: $0.011700 (rounded ~ 0.01)
  • Tokens per dollar: 85,470 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 200ms time to first token:

  • Processing Time: 52 minutes, 30.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 476 tokens/second

Best Use Cases

Enterprise AIComplex reasoningBusiness automation

Enterprise AI Cost Analysis 2026

Comprehensive comparison of OpenAI GPT-5 and Anthropic Claude 4.5 for high-volume enterprise applications. Both models offer advanced reasoning capabilities with different pricing strategies.

Cost Analysis

  • GPT-5: $1.25/1M input, $10/1M output
  • Claude 4.5: $5/1M input, $25/1M output
  • GPT-5 supports 75% caching discount
  • Claude 4.5 offers better reasoning benchmarks

Enterprise Recommendations

GPT-5 for cost-sensitive production workloads. Claude 4.5 for complex reasoning tasks requiring high accuracy.

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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 38 AI models. It calculates token-based pricing, analyzes multimodal processing, and provides optimization recommendations.