llmpricecheck.com

What It Is

LLM Price Check is a price comparison and cost calculation website for large language model APIs. It aggregates model pricing from providers such as OpenAI, Anthropic, Google, Mistral, Cohere, DeepSeek, Groq, AWS, and Replicate, and presents details such as context length, input/output token pricing, cost per call, and total cost. It is more of an “LLM procurement and budgeting calculator” than a model invocation platform.

Key Features and Use Cases

The site provides a pricing comparison table and a Pricing Calculator, where you can enter input tokens, output tokens, and API calls. It also supports calculations by tokens, words, and characters. For developers and product teams, its value lies in quickly estimating API costs for applications such as chatbots, content generation, RAG, and customer support, while comparing different models by price and context window. It covers a wide range of models, including GPT-4o, Claude 3, Gemini, Llama, Mistral, and DeepSeek, making it useful for an initial model selection shortlist.

Pricing and Free Trial

The captured content does not indicate that LLM Price Check charges users; the site appears to be a free tool that can be used directly. The table includes a Free trial field, but does not provide clear details on free trials from each provider. Model prices are shown in USD per 1 million input tokens, USD per 1 million output tokens, and estimated per-call costs, which is useful for budgeting. However, actual billing should still be based on each vendor’s official pricing.

Pros and Cons

Its strengths are high information density and straightforward comparison dimensions. It puts context length, input/output pricing, and total cost in a single view, reducing the effort required to manually check prices. The limitations are also fairly clear: the main content does not state when the pricing data was last updated, how sources are verified, or how quality scores are determined. There is also no visible information about an API, export features, team collaboration, privacy policy, or service support. As such, it is suitable for an initial cost screening, but not as a replacement for formal procurement evaluation.

Who It’s For and Access from China

It is suitable for AI application developers, technical leads, product managers, and budgeting/procurement staff, especially teams that need to compare costs across multiple LLM APIs. The captured content does not specify accessibility from mainland China, so this remains unknown; payments are not involved. If access is limited or more authoritative data is required, it can be used alongside official pricing pages from OpenAI, Anthropic, Google, AWS, and others, or compared with alternative tools such as OpenRouter, Artificial Analysis, Helicone, and Langfuse.