GPT-5 vs Claude Opus 4.5 pricing comparison

gpt-5 vs claude-opus-4.5
Complete Comparison: 150,000 input tokens × 50,000 output tokens
Comparison Mode (Custom field comparison)
⚡ 30% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 30% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria gpt-5
OpenAI
claude-opus-4.5
Anthropic
Input Parameters Applied (30% cached)
Input Tokens 150,000 150,000
Output Tokens 50,000 50,000
Calculation Results
Input Cost $0.262500 (rounded ~ 0.26) Best $0.750000 Worst
Output Cost $0.700000 Best $1.250000 Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $1.012500 (rounded ~ 1.01) Best Value $2.050000 Most Expensive
Processing Time 7 minutes, 42.00 seconds Slowest 6 minutes, 56.00 seconds Fastest
Tokens per Second 450 Slowest 500 Fastest
Time to First Token 200ms 200ms
Cost per 1K tokens $0.004708 (rounded ~ 0.00) Best $0.010250 Worst
Tokens per Dollar 212,399 Best Value 97,561 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) $1.750000 Best
Optimizations: No optimizations applied
$5.000000 Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $14.000000 Best
Optimizations: No optimizations applied
$25.000000 Worst
Optimizations: No optimizations applied
Capabilities
Caching Support ✓ Supported ✗ Not Supported
Batch API Support Available ✗ Not Supported
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
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All other parameters will be preserved from the current comparison.

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
$0.941625Total Cost
$0.262500Input Cost
$0.700000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
200,000Total Tokens
$0.004708Cost per 1K
212,399Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
7m 42sProcessing Time
450Tokens/Second
200msTime to First Token
433Effective Speed

Model Comparison

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Model Information

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🔄 Advanced Options

⚡ Optimization
30%
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

$1.012500 (rounded ~ 1.01)
Total Cost
⚡ 30% Cached 🔧 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

Base Cost (No Optimizations) $1.012500 (rounded ~ 1.01) Input: $0.262500 (rounded ~ 0.26)
Output: $0.700000
Optimized Cost $1.012500 (rounded ~ 1.01) Input: $0.262500 (rounded ~ 0.26)
Output: $0.700000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.070875 7.0% discount

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 150,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.262500 (rounded ~ 0.26)
  • Output Cost: $0.700000
  • Service Fees: $0.050000
  • Total Cost: $1.012500 (rounded ~ 1.01)
  • Cost per 1K tokens: $0.004708 (rounded ~ 0.00)
  • Tokens per dollar: 212,399 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: 7 minutes, 42.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 433 tokens/second (temperature-adjusted)

Best Use Cases

LegalFinanceResearchStrategy

claude-opus-4.5 Anthropic 1000000

$2.050000
Total Cost
⚡ 30% Cached 🔧 Tools
👁️
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) $2.050000 Input: $0.750000
Output: $1.250000
Optimized Cost $2.050000 Input: $0.750000
Output: $1.250000
Unit: $0.000000
Fees: $0.050000

Advanced Cost Breakdown

💻 Code Execution
$0.050000
Flat fee per execution

Detailed Cost Analysis

For 150,000 input tokens and 50,000 output tokens:

  • Input Cost: $0.750000
  • Output Cost: $1.250000
  • Service Fees: $0.050000
  • Total Cost: $2.050000
  • Cost per 1K tokens: $0.010250
  • Tokens per dollar: 97,561 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: 6 minutes, 56.00 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 481 tokens/second (temperature-adjusted)

Best Use Cases

LegalFinanceResearchStrategy

Premium Model Cost Analysis

Comparing OpenAI’s GPT-5 with Anthropic’s Claude Opus 4.5 for high-stakes applications. Different pricing strategies for reasoning-heavy workloads.

Cost Breakdown

  • GPT-5: $1.25/M input, $10/M output
  • Claude Opus: $5/M input, $25/M output
  • GPT-5: 450 tokens/sec, 250ms latency
  • Claude Opus: 300 tokens/sec, 350ms latency

Enterprise Applications

Legal analysis, financial modeling, research synthesis, strategic planning.

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.
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.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 44+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), and provides optimization recommendations.