How accurate are these AI model cost calculations?

Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, etc.) and are updated weekly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, and tool usage multipliers. For the most accurate real-time pricing, always check the official provider documentation as prices can change.

What is the YemHub AI Calculator Tool?

The YemHub is the most accurate AI Calculator is an interactive web-based tool that helps developers, businesses, and AI researchers estimate costs and compare performance metrics for various AI models. It calculates token-based pricing, analyzes multimodal processing costs, and provides optimization recommendations for AI workflows.

How are image tokens calculated for AI models?

Images are tokenized based on resolution: Low (512px): 85 tokens, Medium (768px): 170 tokens, High (1024px): 255 tokens, Full (2048px): 765 tokens per image. For Gemini 3.1 Flash: 500 images at medium resolution = 85,000 tokens.

What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. Google offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 30% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

Cost Optimization: 500 Images in Browser Automation Workflows with...

Name: Gemini 3.1 Flash
Brand: Google
Price: 0.10 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Cost Optimization: 500 Images in Browser Automation Workflows with Gemini 3.1 Flash

Claude Sonnet 4.6 vs Gemini 3.1 Pro for 1M-Token RAG Pipelines

Cheapest Model for 10,000 Image Captions: GPT-5.4 mini

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o3 Pro Reasoning Cost for 50K-Token Agentic Browser Tasks

Cost Optimization for 10,000 Browser Interactions: Llama 4 Maverick vs Mistral Large 3

Per-Request Cost: 10,000-Token Code Suggestions with Claude Sonnet 4.6

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Cheapest Model for 5,000-Token Code Suggestions: Mistral Small 3

Enterprise RAG Scale: 100K-Token Calls with GPT-5.5 (100M Monthly)