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llm_price is a comprehensive comparison tool for Large Language Model (LLM) API pricing. It enables developers, businesses, and AI enthusiasts to easily compare the costs of hundreds of models from providers like OpenAI, Google, Anthropic, and Mistral. With an interactive cost calculator and side-by-side analysis of token prices, context lengths, and modalities, it simplifies the process of selecting the most cost-effective AI solution for any project.

5.0
Added
2025-08-06
Price type:
Free
Monthly traffic:
5.9K

llm_price Overview

llm_price is an essential, free-to-use web platform designed for anyone working with Large Language Models (LLMs). It serves as the most comprehensive and up-to-date resource for comparing the API pricing of hundreds of AI models from leading providers, including OpenAI, Google, Anthropic, Mistral, Meta, and many others. In the rapidly evolving landscape of artificial intelligence, where new models and pricing structures are released frequently, llm_price provides critical clarity and transparency, empowering users to make informed, cost-effective decisions.

The platform aggregates a vast amount of data into a single, user-friendly interface. It meticulously lists over 300 different models, detailing not just their cost but also crucial technical specifications. This allows developers, product managers, and businesses to move beyond simple price points and evaluate models based on the metrics that truly matter for their specific applications.

How to use llm_price

Using llm_price is straightforward and designed for efficiency. Here’s a typical workflow:

  1. Browse and Discover: Start by exploring the main table, which lists all available models. You can scroll through the list or use the search function to find specific models or providers.
  2. Select for Comparison: Click the checkbox next to any models you are interested in. The selected models will be added to a comparison queue.
  3. Analyze Side-by-Side: The platform presents a clear, side-by-side tabular comparison of the selected models. Key data points include input price (cost per 1M tokens), output price (cost per 1M tokens), total price, context window length, and supported modalities (e.g., text, image, file).
  4. Calculate Estimated Costs: Utilize the interactive LLM Price Calculator. Input your expected number of input and output tokens for a typical task (e.g., a single chat, document summarization). The tool will instantly calculate the estimated cost for each of the models you are considering.
  5. Estimate Project Budget: The calculator also provides monthly cost estimates for light, moderate, heavy, and enterprise-level usage, helping you budget your AI project accurately.
  6. Test Model Capabilities: For many models, llm_price provides direct links to demo platforms like OpenRouter, Hugging Face, and Vercel. This allows you to test a model's performance and capabilities before committing to it in a production environment.

Core Features of llm_price

  • Comprehensive Model Database: Features over 300 LLMs from all major providers, including GPT, Claude, Gemini, Llama, Mistral, Qwen, and more.
  • Detailed Comparison Table: Allows for easy side-by-side comparison of input/output pricing, context length, provider, and supported data modalities.
  • Interactive Cost Calculator: A powerful tool to estimate API costs based on custom token counts, with presets for common scenarios and scaling factors.
  • Up-to-Date Information: The platform is regularly updated to reflect the latest model releases and pricing changes in the dynamic AI market.
  • Direct Demo Links: Integrates with popular AI playgrounds, enabling users to test models directly from the comparison page.
  • Free Tier Identification: Clearly flags models that offer a free tier, making it easy to find no-cost options for experimentation or small-scale projects.

Use Cases for llm_price

llm_price is invaluable for a wide range of scenarios:

  • Developers & Engineers: Choosing the optimal model that balances performance, features (like a large context window), and API cost for a new application.
  • Product Managers & CTOs: Budgeting for AI features and forecasting the operational costs of scaling AI-powered services.
  • Startups & Businesses: Identifying the most cost-effective LLM to build a minimum viable product (MVP) or to optimize the costs of existing AI integrations.
  • AI Researchers & Enthusiasts: Tracking market trends, comparing the capabilities of different model families, and experimenting with new releases without extensive manual research.

Advantages of llm_price

The primary advantage of llm_price is its ability to drive significant cost and time savings. By centralizing all necessary information, it eliminates the need to visit dozens of different provider websites. Its transparent, data-driven approach ensures that users can confidently select the best model for their technical needs and budget, preventing costly mistakes and optimizing resource allocation. The platform's commitment to staying current makes it a reliable partner in the fast-paced world of AI development.

Pricing and Plans

llm_price is a completely free tool for the community. There are no subscription fees or hidden charges to use the website and its comparison features. The pricing information displayed on the platform refers to the API usage costs charged by the respective third-party AI model providers (e.g., OpenAI, Google). These costs are typically billed per 1 million input and output tokens processed by the model's API.

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Traffic

Latest traffic

Monthly visits5.9K
Avg visit duration0:01
Pages per visit1.38
Bounce rate38.8%

Status

Rising+12.6%vs previous month
Updated at 2026-06-15

Monthly traffic trend

  • 2025-9: 9.0K
  • 2026-1: 10.3K
  • 2026-2: 6.6K
  • 2026-3: 4.9K
  • 2026-4: 5.3K
  • 2026-5: 5.9K

Geography

Top 5 countries / regions

  • 🇺🇸United States
    34.4%
  • 🇫🇷France
    24.3%
  • 🇰🇷South Korea
    15.8%
  • 🇹🇼Taiwan
    14.1%
  • 🇩🇪Germany
    11.4%

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