@nate_512Istg the scale of this release is barely being talked about. A US lab dropped a 40B open-weight coding model that actually tops three major benchmarks against Qwen, Muse, and Gemma. You get over 125 tokens per second on a MacBook or 150+ on RTX Spark hardware without any per-token fees or usage limits. Your personal laptop is finally the real endpoint for this tech.
Vedi post originaleFoto di @nate_512· Oct 21, 2026· Qwen
This is a data visualization of benchmark performance for different AI models. The focus is on bar charts comparing "Flint" against other models like "Qwen", "Muse", and "Gemma" across various benchmarks. The mood is informative and technical, presented in a clean, modern graphic design style. A notable detail is the use of different colored bars and labels to distinguish between model types and their performance scores. The title "Flint benchmark performance" is prominently displayed at the top, with the subtitle "Compared with local models that run on similar hardware". A logo for "recursive" is in the top right corner.
@nate_512Istg the scale of this release is barely being talked about. A US lab dropped a 40B open-weight coding model that actually tops three major benchmarks against Qwen, Muse, and Gemma. You get over 125 tokens per second on a MacBook or 150+ on RTX Spark hardware without any per-token fees or usage limits. Your personal laptop is finally the real endpoint for this tech.
Vedi post originaleFoto di @nate_512· Oct 21, 2026· Qwen
This is a data visualization of benchmark performance for different AI models. The focus is on bar charts comparing "Flint" against other models like "Qwen", "Muse", and "Gemma" across various benchmarks. The mood is informative and technical, presented in a clean, modern graphic design style. A notable detail is the use of different colored bars and labels to distinguish between model types and their performance scores. The title "Flint benchmark performance" is prominently displayed at the top, with the subtitle "Compared with local models that run on similar hardware". A logo for "recursive" is in the top right corner.
