GPT-5.2 Pro vs Claude 4.5 Opus: The 2026 ROI Duel

gpt-5-2-thinking vs claude-opus-4.5
Complete Comparison: 100,000 input tokens × 10,000 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-5-2-thinking
OpenAI
claude-opus-4.5
Anthropic
Input Parameters Applied (50% cached)
Input Tokens 100,000 100,000
Output Tokens 10,000 10,000
Calculation Results
Input Cost $1.500000 Worst $0.500000 Best
Output Cost $1.200000 Worst $0.250000 Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.050000 $0.050000
Total Cost $2.750000 Most Expensive $0.800000 Best Value
Processing Time 5 minutes, 36.00 seconds Fastest 6 minutes, 32.00 seconds Slowest
Tokens per Second 350 Fastest 300 Slowest
Time to First Token 250ms Best 350ms Worst
Cost per 1K tokens $0.009659 Worst $0.002841 (rounded ~ 0.00) Best
Tokens per Dollar 103,529 Worst Value 352,000 Best Value
Cost per 1 Million Tokens
Input Cost / 1M (Base) $15.000000 Worst $5.000000 Best
Output Cost / 1M (Base) $120.000000 Worst $25.000000 Best
Input Cost / 1M (Optimized) $7.500000 Worst
Optimizations: 50.0% batch
$2.500000 Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $60.000000 Worst
Optimizations: 50.0% batch
$12.500000 Best
Optimizations: 50.0% batch
Capabilities
Caching Support ✓ Supported ✓ Supported
Batch API Support ✓ Enabled ✓ Enabled
Fine-Tuning Mode Standard Standard
Research Mode Not Enabled Not Enabled
Thinking Enabled Not Enabled Not Enabled
Scroll horizontally to see all data

🔄 Compare Different AI Models

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First Model

2

Second Model

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All other parameters will be preserved from the current comparison.

Select AI Model

GPT-5.2 Pro
OpenAIMax Context: 128,000 tokens
Input: $15.000000 / 1M
Output: $120.000000 / 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
$1.062500Total Cost
$1.500000Input Cost
$1.200000Output Cost
$0.000000Unit Cost
$0.000000Search Cost
$0.000000Request Fee
$0.000000Tool Fee
$0.000000Code Execution
110,000Total Tokens
$0.009659Cost per 1K
103,529Tokens per $

Click Recalculate to update after making changes

Calculate Processing Speed

▼
5m 36sProcessing Time
350Tokens/Second
250msTime to First Token
327Effective Speed

Model Comparison

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Model Information

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🔄 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-5-2-thinking OpenAI

$2.750000
Total Cost
👁️
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) $2.750000 Input: $1.500000
Output: $1.200000
Optimized Cost $2.750000 Input: $1.500000
Output: $1.200000
Unit: $0.000000
Fees: $0.050000
Total Savings $1.687500 (rounded ~ 1.69) 61.4% discount

Advanced Cost Breakdown

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

Detailed Cost Analysis

For 100,000 input tokens and 10,000 output tokens:

  • Input Cost: $1.500000
  • Output Cost: $1.200000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $2.750000
  • Cost per 1K tokens: $0.009659
  • Tokens per dollar: 103,529 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 350 tokens per second and 250ms time to first token:

  • Processing Time: 5 minutes, 36.00 seconds
  • Latency: 250 milliseconds to first token
  • Base Throughput: 350 tokens/second
  • Effective Throughput: 327 tokens/second

Best Use Cases

Enterprise StrategyCreative DirectionLegal Analysis

claude-opus-4.5 Anthropic 1000000

$0.800000
Total Cost
👁️
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) $0.800000 Input: $0.500000
Output: $0.250000
Optimized Cost $0.800000 Input: $0.500000
Output: $0.250000
Unit: $0.000000
Fees: $0.050000
Total Savings $0.487500 (rounded ~ 0.49) 60.9% discount

Advanced Cost Breakdown

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

Detailed Cost Analysis

For 100,000 input tokens and 10,000 output tokens:

  • Input Cost: $0.500000
  • Output Cost: $0.250000
  • Unit Cost: $0.000000
  • Service Fees: $0.050000
  • Total Cost: $0.800000
  • Cost per 1K tokens: $0.002841 (rounded ~ 0.00)
  • Tokens per dollar: 352,000 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 300 tokens per second and 350ms time to first token:

  • Processing Time: 6 minutes, 32.00 seconds
  • Latency: 350 milliseconds to first token
  • Base Throughput: 300 tokens/second
  • Effective Throughput: 280 tokens/second

Best Use Cases

Enterprise StrategyCreative DirectionLegal Analysis

The Battle of the Titans

Comparing the two most powerful frontier models of 2026. GPT-5.2 Pro offers superior tool-calling for agents, while Claude 4.5 Opus maintains its lead in creative nuance and empathetic reasoning. This calculator weighs the ‘Enterprise Premium’ cost against the raw output quality for high-stakes projects.

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.