I find it refreshing to see dev tools competing on latency again. Has anyone tried both Conductor and Zed for agentic coding on a real project? How do they compare?
> This photonic-architectured cement achieved a temperature drop of 5.4°C during midday conditions with a solar intensity of 850 watts per square meter. This supercool cement featured intrinsic high strength, armored abrasive resistance, and optical stability, even when exposed to harsh conditions, such as corrosive liquids, ultraviolet radiation, and freeze-thaw cycles. A machine learning–guided life-cycle assessment indicated its potential to achieve a net-negative carbon emission profile.
Of course this is not indicative of actual performance or quality per $ spent, but according to my own testing, their performance does seem to scale in line with their cost.
I think it's more appropriate to compare GPT 5 Thinking to o3. You will find that the response times are actually quite similar (at least in my experience over hundreds of identical prompts with each model).