A user compiled a spreadsheet comparing LLM inference pricing across seven providers, including OpenAI, Anthropic, Cohere, and Mistral AI. The comparison focuses on input/output token pricing, context windows, and cached input costs, rather than performance benchmarks. A key finding is the significant variation in cached input pricing, which can be tens of times cheaper than non-cached inputs, making it a crucial factor for applications like agents and RAG pipelines. AI
IMPACT Highlights the importance of caching costs for LLM inference, potentially influencing application design and provider selection.
RANK_REASON User-generated comparison of LLM inference pricing and features. [lever_c_demoted from research: ic=1 ai=0.7]
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
