Don't really understand people who say DS4 or 4.1 have frontier level performance. Anyone who has used it will tell you that it's a hallucination factory. The only thing it has going for it is deepseek's unique infrastructure that allows better cache retention, but the cost savings from that obviously come nowhere near how much subsidized usage you get out of even a $20 subscription with openai or anthropic.
Also consider that for things like cyber work, the frontier models give you nerfed results and poor performance. Whereas the open weight isn't nerfed, and I routinely get 200t/s with my subscription. Finally, DS4.1 Flash is natively multimodal, while Haiku isn't.
They're all perfectly fine models, you should use any one of them you want. But DS4.1 Flash can do more for less. (That said: GLM-5.3-Flash is even better and cheaper...)
oai and anthropic also subsidize the hell out of their subs compared to what you will find in smaller competitors, a $20 codex sub gets you like $100-150 usage/wk which goes way further than 2x opencode go (which would only net out to $120 of deepseek 4.1 usage a month, on top of being low performing quantized trash).
For $20/month subscription, Charm Hyper gives you $12.50 per day, for a total of $350 per month. Like I've mentioned in other comments, OpenCode Go performance and rates are terrible now, there are several better options.
Quantization is not trash, there's a year of evidence that shows Q4 provides ~4% degradation and Q8 provides ~1% degradation, and you don't need that severely quantized to gain benefits in inference performance.
No other provider is getting the cache hit rates deepseek does or the retention. They use a unique setup that no other provider is bothering to replicate.
> Quantization is not trash, there's a year of evidence that shows Q4 provides ~4% degradation and Q8 provides ~1% degradation, and you don't need that severely quantized to gain benefits in inference performance.
Lol. Quanting at all pretty much neuters a model, just look at how astra performs now compared to at launch.
Are they. Luna uses way less tokens for identical tasks so its a bit of an apples to oranges comparison.