The February 2026 rankings of open-source models (GLM-5, Kimi K2.5, DeepSeek V3.2 Speciale) are all scoring within ranges that were considered “frontier-only” just one year ago. You can self-host all three, with LiveCodeBench scores hitting 90% and AIME scores reaching 96%. API costs through providers like Together.ai and Groq range from $0.20 to $0.80/M tokens. At what point does it stop making sense to pay for proprietary APIs for most use cases? What’s still keeping you on closed models? submitted by /u/nihal_was_here
Originally posted by u/nihal_was_here on r/ArtificialInteligence
You must log in or # to comment.