← All IntelClip / AI ToolsOpen weight models as leverage and capability threshold
From Notion's Token Town — Sarah Sachs, Notion · ≈14:58
“don't think the discount is ever worth the loss in optionality.”
“I think Kimmy 26 was probably the first time that we really saw a model that outperformed 52, GPT 52, GLM 52 now is another 52 bombshell in the villa that also probably does best here.”
What’s in it
- Frames open-weight AI models as leverage against closed-model pricing power
- Argues frontier discounts rarely offset lost flexibility for builders
- Names recent open models now beating GPT and GLM benchmarks
Clip transcript
don't think the discount is ever worth the loss in optionality. That's a perspective you can choose to keep or not. The second option is moderate tasks understanding open weights place there. um openweight models are really strong enough to handle these tasks and the possibility to RL on top of them has also kind of expanded the upmarket growth that they can cover. I view openw weight models as basically lowering the barrier to entry on cost for our customers and they also give you negotiation leverage. So it's kind of a credible alternative that's putting that downward pressure on pricing that if there's an igopoly of two or three providers at the top is unavailable right now otherwise. I think Kimmy 26 was probably the first time that we really saw a model that outperformed 52, GPT 52, GLM 52 now is another 52 bombshell in the villa that also probably does best here. But it's no longer the case where openway models are good for just SFT on small tasks. Really think about without RL if they're capable enough for what you need. Um, and again, don't just think about external benchmarks. Be able to have expertise on your system. What are your tool errors? What's the actual latency that you need? Right? Here's an example of a benchmark that we posted. It's a little bit stale on purpose, right? But you get the idea.
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