I Tracked LLM Pricing for 8 Weeks. Here's What the Data Shows (tokenprices.io)

A recent analysis monitored the pricing of popular large language models (LLMs) for eight weeks, revealing significant stability among major providers like OpenAI, Google, and Anthropic. Despite the initial concern about fluctuating costs, the data showed that these providers maintained consistent prices throughout the period, with no changes detected across 1,111 models. For example, key models such as OpenAI's GPT-4 Turbo remain priced at $10.00 per million input tokens and $30.00 for outputs, affirming that teams can rely on these models’ costs when budgeting their AI projects. However, the analysis also highlighted a stark disparity in pricing across the LLM landscape, with a staggering range that extends up to 600 times between the cheapest and most expensive models. This variability underscores the necessity for AI teams to not only find the best-performing models for their tasks but also to consider cost-effectiveness carefully. The creator of this analysis built an automated tool—Token Prices—that tracks these pricing changes in real-time, providing a live dashboard and historical data to facilitate informed decision-making for organizations navigating the complex AI model pricing landscape.