Comment by ipsod
15 hours ago
IDK if it's smaller, but I know it's way faster. In one test I did, Flash 3.7 high was ~9.4x faster than Luna High.
But, also... Sol crushes Flash 3.7 at writing code in a codebase of any size beyond "tiny".
Flash is my go-to for prototyping, and basically anything that isn't writing production code.
The only company with a proper TPU set-up is bound to have the fast models, now add a market cap like Google to the mix.
They've been my bet to win the AI race for a while. I was starting to doubt, but this 3.6, 3.7, and 3.8 arc has anchored me.
Totally agree. When this current wave of GenAI really started heating up, I guess 2020-2021, my analysis was very straightforward. What are the high level inputs to long-term success? I basically came up with a couple of criteria:
1. Data. Lots of data.
2. Money. Lots of money.
3. Access to necessary hardware.
4. Business alignment/will to do it.
5. Access to talent, current and future.
This is certainly incomplete/naive. In my mind, though, Google was the clear answer.
On a more personal level, I've been deep into the Google ecosystem since I got diederich@gmail.com in 2005. (I actually paid 50 cents on ebay to get a very early invite.) There was no question in my mind that Google's AI work would deeply integrate into their whole ecosystem in very powerful and productive ways. (Yes, I can join you to discuss, at length, the various ways that Google's dominance is problematic/scary.)
Having said all that, I'm quite happy that there is, at the moment, a very rich competitive landscape. Indeed, not too long ago, with Gemini Pro 3.1 languishing, I moved most of my deeper thinking work to ChatGPT, which was, for me at least, clearly outperforming Gemini.
While I certainly didn't anticipate it, Google's strategy of making their fast/relatively inexpensive models surprisingly powerful has been a welcomed surprise.
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Same. Love oneshotting or sanity checks. Which fortunately is a lot of my workflow (lot of long tail stuff fits in one prompt).
Luna is way slow. I don't remember an OpenAI model ever being this slow.
edit: I have a subscription; direct call.
Are you using direct or via OpenRouter? I think OpenRouter Luna always uses the `flex` tier, which is quite a bit slower.
Its not good at not making mistakes, but what it produces is structurally quite nice, not over-engineered (looking at you Sol) and its personality isn’t annoying (looking at you Claude). A bit like Grok Code, but Grok is a better coder.