gpt-5 OpenAI
$0.295000 (rounded ~ 0.30)
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)
$0.295000 (rounded ~ 0.30)
Input: $0.035000 (rounded ~ 0.04)
Output: $0.210000
Output: $0.210000
Optimized Cost
$0.295000 (rounded ~ 0.30)
Input: $0.035000 (rounded ~ 0.04)
Output: $0.210000
Unit: $0.000000
Fees: $0.050000
Output: $0.210000
Unit: $0.000000
Fees: $0.050000
Advanced Cost Breakdown
💻 Code Execution
$0.050000
Flat fee per execution
Detailed Cost Analysis
For 20,000 input tokens and 15,000 output tokens:
- Input Cost: $0.035000 (rounded ~ 0.04)
- Output Cost: $0.210000
- Service Fees: $0.050000
- Total Cost: $0.295000 (rounded ~ 0.30)
- Cost per 1K tokens: $0.008429 (rounded ~ 0.01)
- Tokens per dollar: 118,644 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: 1 minute, 21.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 433 tokens/second (temperature-adjusted)
Best Use Cases
Personal financeBudgetingInvestment
Finance: AI Personal Finance Assistance
Calculate costs for personal finance advice and budget 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.
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.