LLM Cost Calculator - Estimate AI Project Costs with Precision

LLM Cost Calculator

Estimate Your AI Project Expenses

Plan your budget with precision for large language model integration

Calculate Your AI Tool Costs

Make informed decisions for your LLM-powered applications

Select Model

Example Input

Example Output

Input Tokens: 0

Output Tokens: 0

Number of Users

Estimated Cost

$0.00

Based on 1000 users

0 input tokens

0 output tokens

Selected Model: GPT-4o mini

Provider: OpenAI

Context: 128k tokens

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LLM Pricing Table

Model	Provider	Input Price (per 1K tokens)	Output Price (per 1K tokens)	Context Window
GPT-4o mini	OpenAI	$0.0001	$0.0006	128k tokens
GPT-4o	OpenAI	$0.0050	$0.0150	128k tokens
GPT-4 Turbo	OpenAI	$0.0100	$0.0300	128k tokens
GPT-4 32k	OpenAI	$0.0600	$0.1200	32k tokens
GPT-4 8k	OpenAI	$0.0300	$0.0600	8k tokens
GPT-3.5 Turbo	OpenAI	$0.0015	$0.0020	4k tokens
Claude 3 Opus	Anthropic	$0.0150	$0.0750	200k tokens
Claude 3 Sonnet	Anthropic	$0.0030	$0.0150	200k tokens
Claude 3 Haiku	Anthropic	$0.0003	$0.0013	200k tokens
Gemini 1.5 Pro	Google	$0.0070	$0.0210	1m tokens
Gemini 1.0 Pro	Google	$0.0005	$0.0015	32k tokens
Gemini 1.5 Flash	Google	$0.0007	$0.0021	1m tokens
Llama 3.1 405b	Google	$0.0030	$0.0050	128k tokens
Llama 2 70b	Google	$0.0010	$0.0010	4k tokens

Understanding LLM Costs for Your AI Projects

As artificial intelligence and machine learning become increasingly integral to modern applications, understanding the costs associated with these technologies is crucial for developers and businesses alike. Our LLM Cost Calculator is designed to help you estimate the expenses related to using large language models (LLMs) in your projects.

Key Factors Affecting LLM Costs

Model Selection: Different models have varying pricing structures based on their capabilities and computational requirements.
Token Usage: LLMs process text in chunks called tokens. The number of input and output tokens directly impacts the cost.
User Base: The scale of your application, represented by the number of users, multiplies the per-request cost.
Context Window: The maximum number of tokens a model can process in a single request, affecting the complexity of tasks it can handle.

Optimizing Your LLM Usage

To keep costs manageable while leveraging the power of LLMs, consider the following strategies:

Choose the right model for your needs, balancing performance and cost.
Optimize your prompts to reduce unnecessary tokens.
Implement caching mechanisms to avoid redundant API calls.
Monitor and analyze your usage patterns to identify areas for improvement.
Consider the context window size when designing your application's interaction with the LLM.

By using our LLM Cost Calculator and following these optimization strategies, you can make informed decisions about integrating AI into your projects while keeping your budget in check.