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jerojero a day ago

Open weight models from Chinese labs tend to be significantly cheaper.

I think theyre absolutely needed. I can't afford 200 USD a month for personal use of coding AI, and I don't think such prices are reasonable for most of the world economy anyway. Not to mention US firms might be giving their employees a lot more than that.

It's increasingly feeling, to me, that theres a gap building up between haves and have nots. But then, we get news of these open weight models that are reasonably priced in inference with reasonable capabilities. Yes, they take maybe 6-9 months to get there, tbh, that's not a bad trade off at all.

tacomagick 15 hours ago | parent | next [-]

DeepSeek through their own API has saved me tons of tokens honestly. Even though it is not as smart as Kimi or Claude, their level of entry is very low with a top up of 2$ and Pay as you go compared to the subscription of Claude or 20$ top up of Kimi

praveer13 5 minutes ago | parent [-]

For personal use I’m considering using the frontier models from openai or anthropic to create a plan with research and brainstorming etc with enough details for cheap models to be able to follow (glm, deepseek etc) - with openrouter - will monitor how cheap and effective that turns out to be.

ttoinou a day ago | parent | prev [-]

200 is much less than the value you’re supposed to get out of it. If it’s not then yeah go ahead and use cheaper models with worst quality

martinjc 10 minutes ago | parent | next [-]

Are you aware of how much purchasing power 200 dollars is in china, brazil, thailand or india is? This is an extremely arrogant take.

Dayshine a day ago | parent | prev [-]

I'm not sure how I'm supposed to get $200 of value out of personal use!

LPisGood 19 minutes ago | parent | next [-]

Note that 200 dollars of value is different than 200 dollars of profit.

devmor 9 minutes ago | parent | prev [-]

I personally don’t find it that useful for most tasks, but if say, you get paid $50/hr for your work and it saves you more than 4 hours of work in a month, there you go.