whisper-1 OpenAI
$1.012000 (rounded ~ 1.01)
Total Cost
⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 32,768 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)
$1.012000 (rounded ~ 1.01)
Input: $1.000000
Output: $0.012000 (rounded ~ 0.01)
Output: $0.012000 (rounded ~ 0.01)
Optimized Cost
$1.012000 (rounded ~ 1.01)
Input: $1.000000
Output: $0.012000 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.000000
Output: $0.012000 (rounded ~ 0.01)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis
For 500,000 input tokens and 1,000 output tokens:
- Input Cost: $1.000000
- Output Cost: $0.012000 (rounded ~ 0.01)
- Total Cost: $1.012000 (rounded ~ 1.01)
- Cost per 1K tokens: $0.002020 (rounded ~ 0.00)
- Tokens per dollar: 495,059 tokens
- Context Window: 32768 tokens
Speed & Performance Analysis
With a processing speed of 500 tokens per second and 200ms time to first token:
- Processing Time: 17 minutes, 52.00 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 500 tokens/second
- Effective Throughput: 467 tokens/second (temperature-adjusted)
Best Use Cases
Audio transcriptionSpeech-to-text
Whisper 1 Cost Analysis
Calculate total cost for processing 1 million tokens (500K input + 500K output). Basic text processing with no optimizations.
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.