Making sure you are scoping your context, being specific also helps.
And I do 90% of my work on 3.8 - flash - low. C, go , JS, bash , powershell generated content. Near perfect quality.
I hear lots of people say the budgets are low – I’m absolutely hammering it sometimes indiscriminately (shell into this instance, rebuild the entire vm image).
so I’m not sure what the gap is.
What tasks have you needed it for? So far I’ve only switched for experimentation and while it was better, it didn’t seem necessary, especially given the latency.
I now asked Argon for a pretty elaborate review and it used only 2% so I will be giving it another shot.
Another thing that can be of influence is that for subscriptions, Google uses some proprietary idea of “work done” for the quota instead of simply how many tokens were burned. I can imagine that this heuristic is sometimes quite off.
Their Argon limits are the real issue, Flash is ok, but honestly compared to Clause's limits they are all horrid, OpenAI is the next best option if you want Astra, otherwise suck it up and send money to DeepSeek or find a provider for it for cheap.
I noticed the usage on chat is absymal, but it could very well be that their own harness does a good job in caching and you can squeeze good usage out of it due to this.