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Gemini 3.7 Flash

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Re: Gemini 3.7 Flash

#441

Post by mike_hearn »

cheikhcheikh wrote: post #412
bearjaws wrote: post #191

Earlier quoted context omitted.

Cerebras is crazy to watch on GPT OSS or Gemma, I feel like we need a new VibeOS demo but with Cerebras, the OS would literally build itself in a few seconds. https://youtu.be/7NfyZhV1dKM?t=52

Thw bottleneck become compiling and running the code every iteration so it wont be seconds

JIT compilers largely solve that. The real question in my mind is whether fast LLMs bias stuff towards languages that either don't have a compile/typecheck phase at all or have one that's very fast (e.g. Java).

Re: Gemini 3.7 Flash

#442

Post by hn_throw2025 »

ryan_lane wrote: post #405
ikiris wrote: post #394

Earlier quoted context omitted.

not that I'm intending to defend Sergey here but, if you could spend 0.04% of your net worth to protect 5% of your net worth (and probably all of your easy liquidity)... wouldn't you?

If my net worth were that high? No. Folks need to remember that we're closer to being homeless than we are to being as rich as them. You don't need to defend billionaires.

Quantitatively, yes. Qualitatively, no.

Re: Gemini 3.7 Flash

#443

Post by [deleted] »

krat0sprakhar wrote: post #215
jjcm wrote: post #133

Earlier quoted context omitted.

Other thoughts: I really think Google has fallen behind here. Even as a high speed offering (this build took ~7min, which is pretty good!), it wont be able to claim dominance for long with cerebras announcing the Sol preview today: https://www.cerebras.ai/blog/accelerating-gpt-5-6-sol-ultraf... . It's not a bad model by any means, but I just don't know what situation I'd reach for 3.7 Flash first for. Google really n…

Can you help me understand how it is hard to get an API key from Google? You just head on over to http://aistudio.google.com/api-keys and create a key... not any different from platform.openai.com? Disclaimer: I work in Google so it might be that this link is not publicly well known

[deleted]

Re: Gemini 3.7 Flash

#444

Post by manapause »

barrenko wrote: post #440

I am still using gemini flash 2.5 for an old app I have running that does some OCR as well if necessary, is it time to switch up?

I also use it for a chatbot assistant for customer onboarding. Gemini deserves some kudos for their willingness to allow entry level subscriptions access to API-keys to build solutions with.

Re: Gemini 3.7 Flash

#445

Post by bessbd »

formvoltron wrote: post #318
simonw wrote: post #141

The "introductory pricing" for this 3.7 Flash model is really weird. It's scheduled to double in price on December 31, 2026, but who would anticipate still using this model five months from now? Especially since 3.6 Flash came out just three weeks ago! My first effort with default thinking level produced an ambitious pelican, let down by a flawed bicycle: https://tools.simonwillison.net/markdown-svg-renderer#url=ht..…

We can be sure that Google is not Pelicanmaxxing their models.

Unless it's just countersignaling. Like prompting for occasional typos so text doesn't look AI-genrated

Re: Gemini 3.7 Flash

#447

Post by tym0 »

mike_hearn wrote: post #435
tym0 wrote: post #252

Earlier quoted context omitted.

That's not my understanding of how most agents work. This is what a chain of request/response looks like: Your Prompt 1: Prompt Content 1 -> cache-1 LLM Response 1: Thinking Content 1 Response Content 1 Your Prompt 2 (client side): prompt-1 + response-without-thinking-1 + Prompt Content 2 Your Prompt 2 (server side): cache-1 + response-without-thinking-1 + Prompt Content 2 -> cache-2 LLM Response 2: Thinking Content…

Modern protocols loop back the reasoning tokens in raw textual form via an encrypted parameter. You can't see them (modulo the recent attack), but you do resubmit them.

Yeah I've done more research and that's what I meant in the edit you replied to.

But that's not the full reasoning token context, just a snapshot of the latent state at the end of it, no?

Have a look at the gemini ones they're pretty small.

Re: Gemini 3.7 Flash

#448

Post by EB66 »

isamu_2000 wrote: post #158
Alifatisk wrote: post #115

Ever since the insane discount with GPT-5.6 Luna, not much excites me anymore. I mean just look at the benchmarks, even though Gemini 3.7 Flash performs well on the DeepSWE 1.1, Luna (Max) still performs way better. I personally have stuck to Luna (Xhigh) because its been more than enough and does not bloat up the context window too fast with reasoning tokens. https://deepswe.datacurve.ai > Starting January 1, 2027,…

luna is the first model that has outdone gpt-5-mini on the pareto frontier for some of my high value, cost sensitive ai product workflows. it's both cheaper (by about 60% in real world use) and higher quality based on my test harnesses. I was really worried that costs would go up since there wasn't a replacement as of a few weeks ago and gpt-5-mini is scheduled to be sunset toward the end of the year. So long as they…

That's interesting, we've had the same results as you at my company. gpt-5-mini was the clear pareto frontier leader for our in-house LLM benchmarks -- benchmarks that we built and tailored to our specific use cases. Then gpt-5.6-luna came along with the price cuts and immediately supplanted gpt-5-mini.

I always thought it was a little odd that gpt-5-mini was the leader for so long when more popular benchmarks placed gpt-5-mini further down the roster, but it seems you had the same result too.

Re: Gemini 3.7 Flash

#450

Post by frollogaston »

solfox wrote: post #267
jjcm wrote: post #224

Earlier quoted context omitted.

Disclaimer that I haven't tried this since January, so things may have changed in the last 7mo, but this was my experience at that time: https://x.com/pwnies/status/2010523020629274723 At a high level though, as a rule of thumb Google assumes that they're serving companies at Google scale first, and at a human scale second. For other companies it's the opposite. Generally what that means is the first experience you g…

> they're serving companies at Google scale first I think that's actually a very interesting insight that would be helpful for PMs on GCloud to take note of. As a single founder, setting up Google Cloud, it's like they start out by assuming you're bigco, forcing (I assume most) of their users into a arduous process of removing components they don't need. Google AI Studio is one of Google's solutions to this problem,…

This is a meme within Google already. People even complain that some internal tools assume you're serving a billion users when you just want to make a little webserver. But same with GCP.
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