gpt-5 OpenAI
$204.750000
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)
$204.750000
Input: $22.750000
Output: $182.000000
Output: $182.000000
Optimized Cost
$204.750000
Input: $22.750000
Output: $182.000000
Unit: $0.000000
Fees: $0.000000
Output: $182.000000
Unit: $0.000000
Fees: $0.000000
Total Savings
$104.422500 (rounded ~ 104.42)
51.0% discount
Advanced Cost Breakdown
📊 Batch API
50.0% off
Asynchronous processing
Detailed Cost Analysis
For 13,000,000 input tokens and 13,000,000 output tokens:
- Input Cost: $22.750000
- Output Cost: $182.000000
- Total Cost: $204.750000
- Cost per 1K tokens: $0.003859 (rounded ~ 0.00)
- Tokens per dollar: 259,151 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: 16 hours, 31 minutes, 51.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 450 tokens/second
- Effective Throughput: 437 tokens/second (temperature-adjusted)
Best Use Cases
Global enterprisesTranslation servicesNGOs
Global Translation Infrastructure Costs
Calculates costs for translating content across 100+ languages at enterprise scale. Includes cultural adaptation costs.
Translation Scale
- Words: 10,000,000 monthly (~13M tokens)
- Input: 13,000,000 source tokens
- Output: 13,000,000 translated tokens
- Model: GPT-5 (best multilingual support)
- Batch: Enabled for queue processing
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.