⚠️ Note: Calculation represents bulk volume across multiple requests; single-request limit is 1,000,000 tokens.
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✓ Available
🎥
Video Analysis
✓ Available
📄
OCR Support
✗ Not Available
⚡
Caching
✓ Available
90% savings
💰
Total Cost Calculation
Base Cost (No Optimizations)
$6.000000
Input: $1.000000
Output: $5.000000
Optimized Cost
$6.000000
Input: $1.000000
Output: $5.000000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis
For 1,000,000 input tokens and 1,000,000 output tokens:
- Input Cost: $1.000000
- Output Cost: $5.000000
- Unit Cost: $0.000000
- Service Fees: $0.000000
- Total Cost: $6.000000
- Cost per 1K tokens: $0.003000 (rounded ~ 0.00)
- Tokens per dollar: 333,333 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 800 tokens per second and 100ms time to first token:
- Processing Time: 43 minutes, 45.00 seconds
- Latency: 100 milliseconds to first token
- Base Throughput: 800 tokens/second
- Effective Throughput: 762 tokens/second
Best Use Cases
Real-time TranslationChat ModerationText Transformation
Real-Time Text Response
Gemini 3 Flash costs only $3.50 for a 1M/1M token split. It is built for speed, offering the lowest latency in the Google family. It is ideal for high-speed text transformations, real-time chat moderation, and any application where sub-200ms response time is critical.
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.