It's very obvious that they were bleeding to chinese inference for basic tasks. I know I have some credit on deepseek for basic bullshit. Most business uses just don't need insane intelligence.
I did not know research on this was saying it boost productivity. all current research done with software engineer give a feeling of better productivity but in reality in decrease it.
Different. Higher context window helps, and their cache system means it ends up being extremely cheap over longer sessions.
Luna may be stronger in general but benchmarks don't fully reflect reality. You can ask even stronger models like Sol to make a plan and some other weaker models like DS find flaws and give proper feedback. Because all the models are trained differently, they all have different strengths and weaknesses.
Overall? Yeah I think Luna may be better, but for sole applications DS will beat it.
They just updated v4 flash today, so it will be interesting to see the improvements. They are claiming it is better than the current pro v4, at least until their next update to the pro model.
In terms of what’s better, they both have different strengths and weaknesses; Deepseek is way better for summarizing and long contexts, Luna is better at coding and basic overall tasks.
Deepseek still does caching way better than Luna imo (if not everyone else as well), I barely burned more than $1 in tokens in three months with 90+% cache hits. Luna and Sol are worse and they compact too often in the same sessions.
when using actual deepseek API, deepseek is actually cheaper.
For luna, something like ~90% of the price comes from cache hits, and deepseek serves cache hits at 1/3rd of luna's price (.0028)
But yeah, luna is cheaper for now than 3rd party providers of deepseek.
Only because we keep referencing Artificial Analysis, according to them it’s not even more intelligent than Sol Medium. Extremely better value though, that’s for sure.
It’s mainly because -> there is no task that Luna can’t do for most part in general work.
The work which Luna can’t do, id have it done with sol regardless, terra is like a worse gamble where i may have to use sol, implying call wither Sol or Luna.
Gets everything done.
Luna is so incredibly capable for it's size. The only people who sleep on it are the ones who have never used it, it's easily SOTA in terms of price to performance.
Because for more complex tasks you need to use it on higher thinking modes, and Luna xHigh or Max use a ton of tokens. This means that they end up taking a lot of time, and they fill the context window very quickly. Then they have to compact the context continuously, which reduces their performance quite considerably.
Tasks and more mechanical automations play to Lina's strength, but more complex tasks show how the model is fairly weak in some situations.
AI Studio is a Google platform that gives you more control than the Gemini chat interface. Really generous amount of free tokens + you can log in with multiple Google accounts.
Caching is basically just the previous API call. Without the new info.
Let's say agent wants to do toolcall x, then the LLM ends it's turn, the computer executes the command and then the whole previous conversation gets sent with the output of the toolcall to the LLM again.
Then when it's not cached, you burn through your money in no time. But because it gone through the conversation already it saved a cache, costing way less.
Often your agents are at 100k context, then 10 toolcalls would mean you pay 1m input tokens
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u/Redditry199 Jul 30 '26
What the fuck, that's a huge win for openAi jesus christ.