4 ms·

Number of params isn’t really the relevant metric imo. Top models don’t support local inference. More relevant is tokens per dollar or per second.

• dakolli 8mo ago
  Its an open source model, why wouldn't it be relevant for people who want to self host.....
  • janalsncm 8mo ago
    This one is open weights but comparing to Gemini/Claude etc. on number of params isn’t relevant outside of a research context imo. Users don’t care how many params Gemini has as long as it’s fast and cheap.
    • dakolli 8mo ago
      ... no
• lm28469 8mo ago
  It does since you can run this model locally on a < $3k machine
• qeternity 8mo ago
  Number of parameters is at least a proxy for model capability. You can achieve incredible tok/dollar or tok/sec with Qwen3 0.6b. It just won't be very good for most use cases.
  • janalsncm 8mo ago
    Model capability is the other axis on their chart. So they could have put Qwen 0.6b there, it would be in the bottom right corner. I know what they are trying to do. They are attempting show a kind of pareto frontier but it’s a little awkward.