Once its gets juicier, we let flash launch specialized subagents with specific models. GLM-5.3 for coding or Kimi K.3 for research and critique.
But as a main driver. I love flash. And it brought our bill down by A LOT :D
are you worried about sending all your data to third parties, especially if they're in different countries?
nobody here is talking about running frontier level intelligence locally so if you’re Chinaphobic and prefer layers of corporations siphoning your data in between you and the party there are plenty of options instead of directly to the party
The model engine provider might be ZDR, but the service as a whole isn't.
Pinky-swear!
you shouldn't trust the third party AI provider either
I trust competing American AI labs to not collude with each other, so I can spread my work across them and nobody sees everything.
I trust Chinese AI providers to not work with the NSA.
And of course there's always tinfoil.ai's attested model engines... probably the only non-evil use of Trusted Computing I've ever seen.
But Cloudflare is different. They're the single point of access for everything. Which is precisely why they attract irresistable government pressure. Trusting them is like painting a target on your back.
I cant ofc be fully sure because i don’t own the chain end 2 end.
(And what are the preferred providers?)
but DS 4.1 Flash is good enough for most tasks
> Today's models are now good enough for high-quality unattended tasks. Chasing the latest and greatest is silly. It is fun to see the new Fable capabilities, but the tasks we throw at them are usually ridiculous (maybe even insulting) if you believe in LLM sentience. It's like asking a math PhD to organize the files on your desktop.
I'm using DS V4.1 Flash as my main model since their release and it works great for all my coding tasks. My setup is OpenCode Go subscription and obra/superpowers skill.
The only times I try to change models are on general planning tasks (like research this codebase for tech debt mitigation opportunities) or if I need deep research which would benefit from searching the web, in which I still think Gemini is still the best because of the speed and access to google search index. But these are not even 20% of my daily tasks.
I've had middling success with models like DS V4.1 Flash and free Gemini. They tend to be pretty good at very easy stuff ... but they're more likely to go down rabbit holes, confidently assert falsehoods, or fix bugs with changes to my test harness rather than my code.
I asked about comparison to the well-known SotA models specifically because I use either Astra or Sol for ~85% of my daily tasks. When I try to use smaller/cheaper models, I have had very mixed success. Sometimes it's perfect, while other times it fails in subtle and hard to catch ways.