Pricing for 145 models LLM/STT/TTS aggregated and comparable (hail.so)

A comprehensive pricing aggregation for 145 AI models across Large Language Models (LLMs), Speech-to-Text (STT), and Text-to-Speech (TTS) systems has been released, offering a detailed comparison of costs, inputs, outputs, and additional capabilities. This resource highlights competitive pricing structures from various providers, including Mistral, Google, OpenAI, and Anthropic, showing costs that range significantly—from $0.10 to $75 per million tokens for LLMs, and indicative pricing for STT and TTS services as well. This aggregated data is significant for the AI/ML community as it enables developers, researchers, and businesses to make informed decisions regarding which models to integrate based on functionality and cost-efficiency. Key technical details encompass variances in context lengths, caching capabilities, language support, and streaming options, allowing users to assess not just the financial implications but also performance aspects tailored to specific applications, such as multilingual transcription or real-time processing. With these insights, stakeholders can optimize their AI solutions for both cost and utility.